bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization Design of Physical Education Course Evaluation System in Colleges and Universities - Algorithmic Logic Integration Based on the Perspective of Hefei University of Technology
Authors: Liu Ping
Published: August 2024

In recent years, with China’s economic and social development, higher education has developed rapidly, and college physical education courses have received more and more attention, so the research on the evaluation system of college physical education courses is particularly important. Based on the perspective of Hefei University of Technology, this paper integrates a K-means clustering algorithm to optimize the evaluation system of college sports courses. By analyzing the problems existing in the current evaluation system of physical education courses at Hefei University of Technology, a method of quantitative evaluation of “course quality” by calculating the evaluation value of course attainment and course attainment rate is studied. It also proposes to use the K-means clustering mining algorithm as the mining algorithm for the evaluation of university physical education courses, improve the algorithm, and then apply it to the evaluation analysis of university physical education courses. By analyzing the quality of physical education courses at Hefei University of Technology, the total percentage of failing and poorer students is 8%, which indicates that the quality of physical education courses at Hefei University of Technology is better. The optimized evaluation system of college physical education courses is practiced and taught, and the results show that the optimized evaluation system of college physical education courses has a positive effect relative to the traditional evaluation mode from the analysis of student’s interest and attitude towards course evaluation.
The effectiveness of visual music therapy for community-based rehabilitation of mental disorders
Authors: Liu Ting , Xiao Xue , Jiang Fan
Published: August 2024

With the transformation of the new medical structure in the new era, the center of gravity of treatment for patients with mental disorders gradually shifted from the hospital to the community. The study randomly divided 70 community hospitalized patients with mental disorders who met the diagnostic criteria into an experimental group and a control group of 35 patients each and treated them with visualization music therapy and traditional spiritual rehabilitation therapy, respectively. At the end of the treatment, the basic characteristics, sleep quality, cognitive function, and related symptoms of the patients with community psychiatric disorders before and after the treatment were analyzed by using independent samples t-test, and the quality of life and intimate adaptability of the patients after community rehabilitation before and after the treatment were also explored. The results showed that there were significant time main effects in depression (F=234.801, P<0.05) and anxiety (F=256.714, F<0.05) symptom scores, and post hoc comparisons revealed significant intergroup differences in posttest depression and anxiety symptom scores between the two groups (P<0.05). There was a significant difference in total quality of life scores (P=0.000<0.05), psychosocial scores (P=0.041<0.05), and an increase in adaptability and intimacy after treatment, but no significant difference was reached.
Optimizing Higher Education Curriculum Design and Teaching Content Recommendation System Using Data Mining Algorithms
Authors: Li Yanping , Shao Dawei , Sun He
Published: August 2024

In recent years, education has been the focus of attention from all walks of life, and the education curriculum of colleges and universities is the key to cultivating students’ comprehensive quality and ability. College education needs to optimize the design of higher education courses to achieve the goal of talent training and to design a teaching content recommendation system based on students’ cognitive level. On the one hand, this study uses the support vector machine algorithm to quantitatively analyze students’ qualitative comments on the course to extract useful teaching feedback for course design optimization, and on the other hand, designs a teaching content recommendation system based on deep learning algorithm as an adjustment tool to jointly improve the teaching quality of higher education and improve the learning effect of students. The CBOW model and SVM algorithm model were used to analyze a large number of qualitative texts, and the cosine similarity of related words was calculated, such as “recommended” 0.98416, “sufficient” 0.9986 and “good” 0.99762, and the word heat map was drawn according to the word frequency. In addition, an empirical study was conducted on the teaching content recommendation system in school A. The accuracy of the recommendation results and the impact of the system on students’ academic performance were analyzed. The average accuracy of the learning resource recommendation results was 91.65%. The student’s scores were significantly improved after using the system, which proved that the design of the system was effective.
Teaching Strategies and Student Performance in Combining Mathematics Teaching and Data Mining Techniques in Higher Education
Authors: Ai Jiao
Published: August 2024

Using data mining technology to obtain important information in massive data has gradually become an important basis for mathematics teaching strategies in colleges and universities. Combined with data mining technology, this paper proposes the analysis of students’ behavior in mathematics classrooms and personalized mathematics learning strategies and constructs the corresponding method model. The behavior of students in the mathematics classroom is analyzed by using the character behavior recognition technology, and the 7Hu moments of the motion history graph and the motion energy graph are used as the features of behavior recognition. Construct a learning model using the user-item scoring matrix, improve and standardize the null-filling method of scoring, and provide a basis for students’ personalized learning in mathematics. After applying the teaching strategy and the corresponding model to 70 mathematics majors in a university, the student’s performance in mathematics was significantly better than that of the previous semester after the weekly practice 4, and their average score in the midterm examination reached 63.8. The mean values of all dimensions of motivation increased compared with the pre-practice period, and all dimensions were significantly different except the dimension of the learning environment factors (p<0.05). The students demonstrated significant improvement in all dimensions of math performance, with significant differences.
Automatic identification of depressive symptoms in college students: an application of deep learning-based CNN (Convolutional Neural Network)
Authors: He Tianqing , Huang Wei
Published: August 2024

Facial behavior is the most direct and easily accessible behavioral data. In this paper, based on the face action unit based on FACS, we have conducted quantitative research on the expression behavior pattern of depressed people with digital features through the DAIC-WOZ corpus dataset and E-DAIC dataset and completed the construction of the expression behavior and the application of the automatic identification model of college students’ depressive symptom with the optimization of CNN-LSTM method. For the experimental design and result analysis of the time-frequency ratio of expression behavior and the dynamic rate of change of expression behavior in depressed patients, the digital features are obtained, and the unique expression behavior pattern of depressed patients is argued. The main findings are as follows: Compared to the normal population, depressed patients have special behavioral patterns in emotional feedback and emotional cognition. The characteristics of reduced positive emotional feedback, enhanced negative emotional feedback, easy-to-misjudge neutral stimuli as negative stimuli, and slow changes in expression behavior are mostly indicative of this. By studying the two aspects of the time-frequency ratio of expression behavior and dynamic rate of change of expression behavior, it is found that the CNN-LSTM model obtains 73.21% recognition accuracy and 85.71% recall rate when applied, which is more suitable for depression primary screening scenarios. This paper’s research results offer a methodological basis and technical support for automatically identifying depressive symptoms in college students.
Neural network-based prediction of college students’ physical fitness test scores
Authors: Hu Yunjing , Fan Ting , Wang Zihao
Published: August 2024

College students’ physical fitness test scores are an important criterion for evaluating students’ physical fitness, and scientific and effective prediction and analysis of physical fitness test scores can provide a theoretical basis for subsequent physical education teachers to carry out teaching. This study proposes a combined prediction model of the gray system and neural network to deal with the small sample data of college students’ physical fitness test scores, introduces the basic concepts of the GM(1,1) model and BP neural network, respectively, and explains the advantages and complementarities between the gray prediction and the neural network prediction, which provides theoretical support for the combined prediction model. By capturing 2000 college students’ physical fitness test scores from a university as the research object, 1600 of them were used as training samples and the remaining 400 as test samples, and different data sets were divided by gender. The model was applied to predict individual specific item scores and classify the total assessment. Taking the girls’ 50-meter running performance as an example to draw the comparison curve of the prediction model, it was found that the error of the gray neural network model prediction was within 0.5 seconds. In addition, the RMSE values of the prediction results of other sports performance were all below 0.06, and the MAPE values were all below 3%, which means that the model can meet the practical requirements of the prediction of the physical fitness test. The horizontal ladder plot and confusion matrix plot reflect that the model is relatively accurate in predicting the overall rating level of students’ physical fitness test scores, with an accuracy of 95.142% in the boys’ dataset and 95.425% in the girls’ dataset.
Big Data-Driven Cross-Border E-commerce Platform Operation Strategy Based on Data Mining
Authors: Kong Ting
Published: August 2024

In the context of the big data era, cross-border e-commerce enterprises are confronting significant challenges. The traditional marketing model finds it challenging to adapt to the evolving needs, making precision marketing for cross-border e-commerce platforms particularly crucial. This paper, based on the big data-driven path of operating cross-border e-commerce platforms, designs the operation strategy of these platforms from the perspective of precision marketing and empirically analyzes its impact. The RFM model is first used to design user value labels, and the K-means algorithm then uses the clustered labels. Combined with mining the three types of key data—user basic attributes, user value labels, and user consumption behaviors—of Company A’s Amazon store to construct user profiles, analyze them, and further design precise marketing strategies based on user profiles and analyze their effects, This paper classifies customer groups into three categories: high-value premium types, dynamic premium types, and growth types. High-value, quality customers account for most of Company A’s business, and through personalized marketing, their sales show a certain growth trend. Vitality-quality customers stimulate the desire to buy by recommending new products and activating old ones, and their sales increased to $32,527 in the fourth quarter. The impact of growth-type customers using consumption coupons and discount codes to stimulate consumption and purchases is flat, with no significant growth. This indicates that the operation strategy in this paper is more obvious and can be used as a precursor for further optimization.
Optimization study of stochastic process and probabilistic model for line loss management efficiency in low-voltage station areas
Authors: Li Tao , Dong Xin , Wang Xuesi
Published: August 2024

Line loss management efficiency is one of the main indicators used to judge the effectiveness of electric power enterprises’ work, as well as a comprehensive indicator used to reflect their operation level and production technology. In this paper, we analyze the types of line losses in low-voltage station areas, present a method for calculating these losses, examine the influence indices of these losses, and outline the process for collecting line loss data in these areas. The maximum load loss amount is used for outlier construction, and the improved K-Means clustering algorithm is utilized for clustering processing of line loss data, which is combined with the isolated forest algorithm to solve the anomaly scores of the line loss data and then to obtain the positioning of abnormal data of line loss in low-voltage station areas. Then, based on the Markov chain, the probabilistic modeling of the time series random variable data of line loss in the LV station area is carried out, and the OLS-optimised RBF neural network is used to process its time series variation data. Applying the combined model to the detection of line loss anomalies in LV station areas, the global maximum value of its time-voltage parametric difference is only 34.28 V, and the value of the directional electron transmission distance is only 3.41 μm. When the expansion constant is 5.42, the OLS-RBF model’s optimal prediction accuracy and minimum mean square error reach 98.43% and 0.0012, respectively. The average residual mean value for the model prediction results and the actual line loss data is 4.4 kW, and the average relative error is only 0.12%. Therefore, this paper’s method effectively locates anomalies, detects stochastic line loss data in low-voltage stations, and accurately processes time-series random variable data.
Analysis of the correlation between the AI model and adolescents’ physical and mental development from the perspective of humanistic sociology of sport
Authors: Ma Haolin
Published: August 2024

Adolescent physical and mental development is a perspective that the humanistic sociology of sports focuses on in the field of youth sports. This paper investigates how the use of AI technology in sports will affect the physical and mental development of youth. In order to overcome the shortcomings of small samples, high dimensionality, and high noise in youth physical and mental development data, this paper adopts dimensionality reduction methods such as principal component analysis and linear discriminant analysis to reduce the dimensionality of high-dimensional data. Using the processed data, the physical and mental development data of youth were successfully classified into four categories: social interaction, training intensity, psychological state, and cultural influence. The study on the correlation between the AI model and youth physical and mental development takes soccer as an example and adopts the method of pre and post-tests of actual experiments to select students from a high school to conduct the test of physical and psychological indexes before and after the experiments. Physical and psychological index tests before and after the experiment were significantly better for students in the experimental group using AI technology compared to those in the control group not using AI technology.
Predicting the future trend of cultural revitalization of traditional Hakka villages in western Fujian in the context of rural revitalization using machine learning
Authors: Zhang Rong , Lin Yuhua
Published: August 2024

The “revitalization” development of traditional village culture is more embodied as the revitalization of the “traditional village cultural landscape genes.” This paper combines the overall concept and development strategy for the protection and development of traditional Hakka villages in western Fujian and puts forward the path of “revitalization” development of traditional Hakka villages in western Fujian. “Revitalization” development path. Construct a cultural development prediction based on the grayscale GM (1,1) model and test its accuracy by combining it with the GDP value of eight counties in western Fujian (Longyan City). Analyze the Hakka cultural tourism resources and major source markets in western Fujian and use the grayscale GM (1,1) model to make a future development prediction for the development of the Hakka traditional village culture industry in western Fujian. The GM(1,1) model’s absolute value for both relative error and rank deviation is less than 0.1. When combined with the grayscale GM(1,1) prediction model, we expect the culture of Hakka traditional villages in western Fujian to generate approximately 59024 million yuan in cultural tourism revenue by 2027.
Exploration of Ceramic Culture Inheritance and Innovation Paths for the Digital Era
Authors: Liu Weiyu
Published: August 2024

Aiming at the current lack of innovation in Chinese ceramic culture, this paper proposes an inheritance and innovation path combining ceramic digitization technology and ceramic virtual display technology. Based on the three-dimensional morphology reconstruction technology method, using a three-dimensional scanner in different groups of lamps under the scanning pottery plastic to obtain point cloud data, using an iterative proximity point algorithm to achieve point cloud data alignment, and obtaining a complete three-dimensional model of pottery plastic. Then, we propose the ceramic virtual display technology based on Kinect, using Kinect to capture human motion data, designing somatosensory interaction subjects, expanding Kinect human-computer interaction actions, and providing an interactive and experiential ceramic culture display. Using ceramic digital technology to build three-dimensional digital modeling of the five famous kilns in China, the simulation effect evaluation score is greater than 80 points, of which the Gao kiln has the highest average score of 90 points. The use of ceramic virtual display technology to construct a virtual ceramic museum of the Maritime Silk Road demonstrates good system performance. In each satisfaction evaluation factor, the online visitors exhibit a general, satisfied, or very satisfied attitude, with a proportion exceeding 60%.
A Study of Innovative Teaching Methods in Higher Education for Digital Localization
Authors: Liu Xining
Published: August 2024

With the rapid development of the Internet and information technology, the data generated by online learning resources has shown explosive growth. In this paper, a personalized recommendation model is used to transform and innovate digital localized education. Firstly, the model is constructed by combining online learning characteristics to generate personalized learning paths. Then, personalized recommendation algorithms are proposed on this basis, and traditional recommendation algorithms are found to have limitations. Therefore, this paper chooses a personalized recommendation algorithm based on a knowledge graph. After the questionnaire survey of the learners, it was concluded that there were significant differences in the three dimensions of learning motivation, cognitive load, and learning self-control through the comparison of the differences between the pre-and post-tests in the five dimensions, and the self-control of the students was improved. Then, the satisfaction analysis of the recommender system was conducted, and most of the learners were satisfied and very satisfied with the system, and “dissatisfied” and “very dissatisfied” were 0. The personalized recommender system provides effective targeted learning methods and improves learning efficiency in the innovation of digital localization education. The personalized recommendation system offers effective targeted learning methods that enhance learning efficiency in the innovation of digital localized education.
Construction and Efficacy Verification of Color Theory Optimization Model in AI Painting Assistant
Authors: Tian Lu
Published: August 2024

The application of artificial intelligence in the field of painting has been greatly developed, which is a new way of thinking in the digital era, bringing innovation and infinite possibilities to the art of painting. The article first researches the art and expression of AI painting, mainly taking various network models as the main form of expression. Then, color theory and color space are introduced to provide a theoretical basis for the proposal of a color optimization model. Considering that the ACE algorithm has problems of high complexity and image enlargement, the acceleration algorithm LLLUT is used to improve data processing. The AI imitation painting works “Monet’s Garden” and “Neon” are taken as case studies. In terms of color preference, AI painting prefers to use three primary colors: black, white, and red. For example, AI’s imitation painting work Han Xizai Night Banquet has three peak points higher than the average peak, respectively 0.04, 0.09, 0.15, and 0.99. The corresponding colors used are red, black, and yellow. The main colors used in the composition are red and yellow. In the application evaluation of the color model, the comparative analysis concludes that the color mixing efficiency is higher using the research method in this paper, and in the practical application, both painting professionals and amateurs have a stable effectiveness in generating color preference schemes after using the AI painting assistant based on the ACE color model optimized by LLLUT.
Assessing the Impact of Varying Fines and Antistripping Agent on Moisture Susceptibility in Asphalt Concrete Mixtures
Authors: Bashir Muhammad Tariq , Imad Muhammad , Jamal Hamza , Khan Md. Munir Hayet , Uddin Md. Alhaz , Zamin Bakht , Farid Faizan , Qureshi Hamza Ahmad
Published: August 2024

Sustainable infrastructural development is vital for both developed and developing countries. The primary concern in hot mix asphalt (HMA) pavements is related to damages caused by moisture. This research makes efforts to evaluate the moisture susceptibility of a dense-graded surface HMA mixture using simple performance tests (SPTs) and Superpave indirect tensile tests (IDTs). Coating of fines (dust) on the aggregate can prevent the asphalt binder from bonding directly to the surface of the aggregate. Therefore, SPT and IDT have been performed by varying the proportion of fines (3%, 6%, and 9%) in the mix. For each proportion of fines, the optimum asphalt content was determined and used for further preparation of test specimens. The addition of hydrated lime [Ca(OH)2] to asphalt mixtures improved the adhesive bond between aggregate and bitumen, as well as reduced the occurrence of stripping. In addition, when aggregates coated with clays, hydrated lime with a pozzolanic ally to remove those deleterious materials. The amount of antistripping agent incorporated was 1.5% by weight of dry aggregate, a proportion commonly used in the industry for such applications. Standard Marshall Mix design procedure was employed to design the asphalt mixtures. The laboratory investigation and subsequent statistical analysis were conducted using Minitab-15 software, which yielded significant insights into the effectiveness of hydrated lime as an antistripping additive in asphalt concrete mixtures. The findings indicate that incorporating hydrated lime substantially facilitates mitigating moisture-induced stripping in asphalt mixtures.
Performing Anti-Muslim Racism; Or, Muslim Self-Fashioning in Ayad Akhtar’s Plays
Authors: Hashmi Sania
Published: August 2024

Ayad Akhtar claimed in an interview after a performance of his Pulitzer-winning play Disgraced that the play was about the ways Muslims “are still beholden on an ontological level to the ways in which the West is seeing us.” The point is for Muslims to free themselves from those networks of symbolic identification by reclaiming their voices and telling their own stories. The claim, then, is that the performance of Muslimness that Akhtar is initiating on the American stage with his critically acclaimed plays allows Muslims to escape the rules and demands of the hegemonic play of identities. How, then, does one redefine Muslimness while performing it? Situated in this context, this paper examines the narrative possibilities and possible narratives that are available to Muslim characters on the American stage. This article will read two of Akhtar’s plays, Disgraced (2013) and The Who & The What (2014), through the lens of this purported claim of ontological reconstruction. Following Akhtar’s admission that the latter was inspired by William Shakespeare’s The Taming of the Shrew, I will extend the same principle of adaptability to read the former as a contemporary retelling of Othello. As a critique pivoted on the triple axes of class, gender, and form, this article will argue that by deploying the same ideological positions and stereotypical narratemes that legitimize anti-Muslim racism in America in the larger project of the US Empire, Akhtar leaves his self-endowed task of ontological reconstruction both politically and ethically wanting.
Making History: Visual Arts and Blackness in Canada, edited by Julie Crooks, Dominique Fontaine, and Silvia Forni. Reviewed by Shanice Wolters.
Authors: Wolters Shanice
Published: August 2024

Book Review of Making History: Visual Arts and Blackness in Canada
Editor's Note
Authors: Salah Trish
Published: August 2024

The contributors to this open issue of JCRI reckon with histories of racial, gendered, capitalist, and imperial violences and with such violences’ enduring presence and power in this world and time.
Impact of Sweet Orange Peel Essential Oil on the Nutrient and Oxidative Stability of Aquafeed During the Storage Condition
Authors: Kanat Ayşenur , KESBİÇ Osman Sabri
Published: August 2024

The main goal of this study was to assess the qualitative composition of essential oil (P), a natural extract produced from wasted orange peels in the citrus processing sector. Additionally, the study aimed to investigate the alterations in fish feeds when this essential oil is incorporated and stored. The essential oil was extracted from the orange peels provided for the study using the hydrodistillation method and the Clevenger apparatus. The study determined the volatile components of the oil with 100% accuracy. The primary constituent was identified as D-limonene, comprising 59.27% of the total composition. Subsequently, experimental feed groups were established by including the essential oil in the feed rations at ratios of ‰0 (P0), ‰0.5 (P5), ‰1 (P10), and ‰3 (P30). Under storage conditions, the feeds were stored in feed sacks for 60 days. Periodic samples were collected during storage and subjected to nutritional, microbiological, structural, and oxidation tests. The results of the study show that P had no protective effect in fish diets against the growth of yeasts, molds, and other mesophilic aerobic bacteria (p > 0.05). It was shown that the nutritional values varied over time during storage. However, this variation was not substantially correlated with the amount of P in the diets (p > 0.05). There was no discernible impact of the addition of P on the structural characteristics of the feed grains. Nevertheless, the inclusion of P substantially impeded the process of lipid oxidation in the diet (p<0.05). After the two-month storage period, it was shown that adding at least 1 ‰ of P to the fish meals prevented the peroxide generated from oxidation in the feed from exceeding acceptable levels.
Digestive Tract Morphology and Relative Gut Length Index of Polynemus melanochir Valenciennes, 1831 in Cai Rang, Can Tho, and Long Phu, Soc Trang
Authors: Bao Pham Quoc , Lam Vo Thi Thao , Quang Dinh Minh
Published: August 2024

The study provided the digestive tract morphology, relative gut length (RGL), and variation of this index regarding sex, season, and sampling site of the Polynemus melanochir. The analysis results of 308 fish samples (119 males and 189 females) collected from Cai Rang - Can Tho and Long Phu - Soc Trang showed that this fish displayed a wide mouth and differences based on the interaction of sex × size (ANOVA, df=1; F=4.58, p=0.03). The relative gut length (RGL=0.48±0.01 SE) falls into the group of carnivores as RGL<1 (t-test, df=306; t=-2.34; p>0.001), so that this fish species belongs to the carnivore group. Differences in RGL were also noted among sampling site and sex, with males (0.50±0.01 SE) having a larger RGL than females (0.48±0.01 SE; t-test; df=306; t=0.10; p>0.001). These results have supplemented additional information regarding the nutritional characteristics of this species, and being used as a basis for understanding the ecological adaptation of this species to its habitat and as a foundation for further research on artificially raising them.
Yeşil Ekonomide Ulusal Varlık Fonlarının Rolü
Authors: Şimşek Orhan , Eren Ahmet Arif
Published: August 2024

Dünya ekonomisi iktisadi bunalımlar ile mücadele ederken diğer yandan iklim değişikliği, doğal kaynakların tükenmesi ve çevresel tahribat sorunlarıyla karşı karşıya kalmaktadır. Hem iktisadi hem de çevresel sorunlara müşterek bir çözüm üretme gayesinde olan yeşil ekonomi, son dönemlerde giderek artan düzeyde ön plana çıkmaktadır. Çevresel konuların ekonomideki karar alma süreçlerine entegresini öngören yeşil ekonomi, döngüsel, düşük karbonlu ve kaynak açısından verimli bir ekonomiye doğru bir rota çizerek, ekonomik büyüme ile çevresel tahribat arasındaki tarihsel bağı kırmaya çalışmaktadır. Diğer yandan da devletin önemli yatırım araçları olarak ortaya çıkan ulusal varlık fonları, yapacağı yatırımlarla yeşil ekonomiyle sinerji oluşturabilecek bir potansiyele sahiptir. Bu çalışmada, yeşil ekonomi ile ulusal varlık fonları arasındaki dinamik etkileşim ve ulusal varlık fonlarının sürece dahil olarak sürdürülebilir ekonomik büyümeyi nasıl teşvik edebilecekleri araştırılmaktadır.
Satisfação dos usuários e fatores associados com as equipes de saúde bucal
Authors: Castro Clécio Miranda , Queiroz Rejane Christine de Sousa , Thomaz Érika Bárbara Abreu Fonseca , Tonello Aline Sampieri
Published: August 2024

Objetivo: Analisar os fatores associados à satisfação dos usuários com os serviços de saúde bucal (SSB) da Atenção Primária em Saúde (APS) do Brasil. Métodos: Estudo transversal com 50.830 usuários dos SSB das unidades básicas de saúde (UBS). A satisfação do usuário foi mensurada por meio de um indicador composto de cinco perguntas do questionário do usuário da avaliação externa do 3º ciclo do PMAQ-AB. Modelagem hierarquizada foi proposta para investigar os fatores associados à satisfação dos usuários, considerando características demográficas, socioeconômicas e atributos da APS. Utilizou-se regressão de Poisson com ajuste robusto para estimar razões de prevalência e respectivos intervalos de confiança=95% e α=5%. Resultados: Associaram-se à satisfação: idade acima de 19 anos, morar com companheiro(a), fora da região Norte, cor branca, renda superior a 2 salários-mínimos, maior escolaridade, não receber benefício, UBS próxima à residência, horários de funcionamento atendendo às necessidades do usuário, acompanhamento na rede, menor tempo de espera para consulta, garantia de remarcação de consultas, atendimento pelo mesmo dentista, exame ampliado e escuta qualificada.  Conclusão: A satisfação foi maior entre usuários com condições socioeconômicas mais favoráveis, atendidos em UBS que seguem os atributos da APS como, acessibilidade, coordenação do cuidado, primeiro contato, longitudinalidade, vínculo e integralidade.
The use and non-use of medications during pregnancy: potential risk factors for the development of congenital malformations
Authors: Cardoso Larissa Soares , Mesquita Kim Tavares , Santos Yasmin de Freitas , Souza Dhara Martins de , Sequeira Bianca Jorge , Lins Cynthia Dantas de Macedo , Nakashima Fabiana , Lima Gabrielle Mendes , Ribeiro Leila Braga , Ferreira Ana Iara Costa
Published: August 2024

Objective: To know the behavior of women in the state of Roraima regarding the use of medications during pregnancy. Methods: Survey using an epidemiological form. Results: Of the total of 158 participants, 37.3% bear children with congenital malformations and 62.7% did not. The mean age (p=0.0380) together with low family income (p=0.0259) between the groups was statistically significant, with women aged between 13 and 25 years old (p=0.0006) are at greater risk of having children with congenital defects. Furthermore, the lack of maternal compliance to drug treatment (p=0.0260; OR: 2.727; CI: 1.156-6.434) was also associated with the development of these abnormalities. In addition, the use of analgesics (p=0.0577; OR: 3.725; CI: 1.070-12.975) and antibiotics (p=0.0588; OR: 2.259; CI: 1.009-5.057) before and during the gestational period, seems to favor the appearance of congenital malformations. Conclusion: Women in the age group of 13 to 25 years old, with income less than or equal to the minimum wage and who do not use medications prescribed during pregnancy, are associated to the development of children with congenital malformations. In addition, the use of analgesics and antibiotics before and during the gestational period seems to favor the appearance of these abnormalities.
Escape imunológico da variante P.1 em paciente com evolução crítica e vacinação completa
Authors: Brito André Carneiro de , Dantas Nicole Marques , Carbonell Roberto Carlos Cruz , Ferreira Ana Iara Costa , Nakashima Fabiana , Ticianeli José Geraldo , Lima Gabrielle Mendes , Asato Mauro Shosuka , Sequeira Bianca Jorge
Published: August 2024

Objetivo: Analisar a imunogenicidade da variante P.1 e o escape imunológico frente à evolução crítica de paciente com vacinação completa contra a COVID-19. Detalhamento de caso: Estudo de caso que visa avaliar, através da análise de prontuário médico, o perfil clínico-epidemiológico de um único participante, maior de 18 anos, sexo masculino e profissional de saúde, que foi internado no Hospital Geral de Roraima (HGR) para o tratamento da COVID-19 em sua forma gravedivíduos que possuem fatores de risco, como diabetes mellitus, coronariopatia e obesidade apresentam desbalanço na resposta imunológica e no sistema endócrino, risco cardiovascular alto e função pulmonar comprometida. O desfecho negativo do quadro clínico ocorreu devido à infecção pela variante do SARS-Cov-2, a P1. O participante havia sido imunizado com as duas doses da vacina CoronaVac, resultando assim em um escape imunológico e ineficácia vacinal. Considerações finais: O potencial de virulência e de mutações agravou o estado do paciente, refletindo na configuração de alta transmissão e letalidade desencadeada pela infecção. O esquema vacinal realizado apresentou declínio de eficácia devido à fuga imunológica, resultado da alta pressão de seletividade promovida pelas diferentes mutações, como a P1, sequenciando em neutralização cruzada de anticorpos para combatê-la e na redução da imunogenicidade.
Perfil socioepidemiológico da mortalidade materna no Piauí em comparação com a região Nordeste do Brasil na última década associado ao impacto da pandemia da COVID-19
Authors: Barros Amanda Caroline Ribeiro , Silva Indira Luz da , Câmara Felipe Tolstenko Nogueira Ayres , Oliveira João Vinícius Meireles de , Mineiro Ana Clara Barradas , Silva Anna Vitória Mendes Viana , Bezerra Lana Vitória Santana , Pinto Lucielma Salmito Sores , Parente Mirian Perpétua Palha Dias , Nogueira Luciana Tolstenko
Published: August 2024

Objetivo: Analisar o perfil socioepidemiológico da mortalidade materna no Piauí em relação ao Nordeste do Brasil durante o período de 2012 a 2021, considerando os efeitos da pandemia da COVID-19. Métodos: Estudo quantitativo e retrospectivo acerca da mortalidade materna, realizado através do Sistema de Informações sobre Mortalidade do DATASUS. Resultados: No Nordeste, foram contabilizados 5.872 óbitos maternos, sendo 417 notificados no Piauí. No Piauí e no Nordeste, a maioria dos óbitos maternos ocorreram em mulheres com 20 e 29 anos (41,0%) e de 30 a 39 anos (39,8%) respectivamente, de raça parda (71,9% e 67,8%), com escolaridade de 8 a 11 anos (28,1% e 34,7%) e solteiras (33,6% e 45,5%). A causa obstétrica direta foi a principal responsável por óbitos tanto no Piauí, quanto no Nordeste, respectivamente, 68,4% e 64,6%. O Piauí ocupou o segundo lugar com maior razão de morte materna do Nordeste. Conclusão: A  taxa de mortalidade materna do Piauí acima da média da região e aquém da meta da OMS revelou falhas na assistência à saúde materna. Ademais, o aumento da mortalidade em 2021, relacionado à COVID-19, destacou a necessidade urgente de melhorias na saúde materna.
Prevalência de sintomas gastrointestinais em pacientes internados com COVID-19 em um hospital de Goiás
Authors: Silva Geovanna de Oliveira Araújo , Souza Laísla Maria de , Graciano Maria Vitória Vieira , Deus Ana Luiza Caetano de , Oliveira Danubio Antonio de
Published: August 2024

Objetivo: Identificar as manifestações clínicas gastrointestinais prevalentes em pacientes com a COVID-19 em um hospital de Goiás no ano de 2021. Métodos: Trata-se de estudo observacional, conduzido com coleta de dados em 153 prontuários, realizado em um hospital em Goiás. Foram investigados a presença de sintomas gastrointestinais na admissão e durante a evolução, além de sexo, idade, comorbidades prévias, marcadores hepáticos e canaliculares e desfecho clínico. Os dados obtidos foram analisados por estatística descritiva com auxílio do software BI. O estudo foi aprovado pelo Comitê de Ética e Pesquisa. Resultados: A amostra, em maioria, encontrava-se na faixa etária de 40 a 59 anos (41,8%), era do sexo masculino (50,3%) e possuía alguma comorbidade prévia, sendo que a mais comum foi hipertensão arterial sistêmica (41,1%). Foi encontrada uma alta prevalência de sintomas gastrointestinais (66%). Os sintomas mais comuns foram: inapetência (22,9%), náusea (7,8%) e diarreia (6,5%), na admissão; e constipação (31,4%), inapetência (18,9%) e diarreia (8,5%), durante a evolução. Conclusão: Conclui-se que a maioria dos pacientes com COVID-19 apresentou sintoma gastrointestinal em algum momento.
Gravidez ectópica: perspectivas terapêuticas
Authors: Neves Renata Costa das , Viana José Fernandes de Souza
Published: August 2024

Objetivo: Correlacionar estudos que abordam sobre métodos de tratamento em situações de gravidez ectópica, e discutir quais as novas perspectivas para seu tratamento. Métodos: Realizou-se uma revisão integrativa da literatura através do levantamento de artigos publicados em português e inglês nas bases de dados Biblioteca Virtual em Saúde e PubMed, utilizando os Descritores em Saúde 'gravidez ectópica', 'tratamento' e 'sinais e sintomas'. Resultados: Foram encontrados um total de 30.424 documentos que passaram por um processo de triagem, resultando na exclusão de 30.314 documentos devido a fatores como ano de publicação, idioma, tipo de estudo, estudos não disponíveis de forma gratuita e estudos duplicados. Posteriormente 108 artigos foram excluídos após a revisão do título e resumo, restando apenas 16 artigos para leitura na íntegra e por fim, 13 artigos foram considerados relevantes e selecionados para coleta, análise e discussão dos dados. Considerações finais: Pode-se considerar que a conduta cirúrgica é o método mais comum de tratamento, podendo optar-se também pela conduta conservadora e administração de medicações, o metotrexato se apresenta como uma opção consolidada, novos estudos estão em busca de associações como gefitinibe e letrozol visando maior sucesso terapêutico, porém necessitam de maiores pesquisas que comprovem sua eficácia em uso rotineiro.
A utilização do arco de Maguerez por profissionais de enfermagem que atuam com sistematização da assistência em saúde mental
Authors: Xavier Simone Costa da Matta , Cortez Elaine Antunes , Souza Cláudio José de , Valente Geilsa Soraia Cavalcanti , Assad Suellen Gomes Barbosa , Santos Natânia Candeira dos , Florentino Weverton Silva França
Published: August 2024

Objetivo: Compartilhar a experiência de utilização do arco de Maguerez com profissionais de enfermagem que trabalham em saúde mental, como forma de contribuir para a sistematização da assistência. Relato de experiência: A experiência foi vivenciada através de oficinas virtuais, com sete profissionais de enfermagem de um Centro de Atenção Psicossocial, na cidade do Rio de Janeiro, no ano de 2020. Realizou-se três encontros virtuais, que seguiram as etapas propostas por Charles Maguerez, iniciando-se pela observação da realidade, com leitura e reflexão inicial; eleição dos pontos chaves e teorização, com uso dos referenciais teórico e político anteriormente eleitos, além da realização de leituras de suporte. Por meio desses passos, emergiram as hipóteses de solução, que versaram sobre o papel da enfermagem na organização e documentação das etapas possíveis para a sistematização da assistência de enfermagem. Por conseguinte, promoveu-se a reflexão crítica sobre a prática, reforçando o processo de construção do conhecimento e o lugar de pertencimento da equipe de enfermagem nos espaços de ação-reflexão-ação já existentes. Considerações finais: O caminhar pelo arco de Maguerez, possibilitou a produção de documentos técnicos institucionais e um guia simplificado para aplicação da sistematização da assistência de enfermagem na saúde mental.
HISTORICAL ASPECT IN RELATIONS OF ANDEAN COMMUNITY AND MERCOSUR COUNTRIES WITH CHINA
Authors: Конева С.А. , Агуреев С.А.
Published: August 2024

В представленной работе проводится анализ отношений стран Андского сообщества наций (АСН) и Общего рынка стран Южной Америки (МЕРКОСУР) с Китаем на историческом этапе. Рассматриваются основные этапы взаимодействия, а также выделяются сферы сотрудничества, которые легли в основу отношений азиатской державы со странами двух интеграций. В работе отмечается, что АСН и МЕРКОСУР, являются одними из наиболее перспективных объединений Латинской Америки и Карибского бассейна и их сотрудничество с Китаем носит уникальных характер, однако также отмечены и различия в отношения двух интеграций с азиатским государством. Именно на историческом этапе взаимодействия стран этих двух объединений с азиатской державой были заложены основы для дальнейшего сотрудничества. Более того, рассмотрена роль китайских инвестиций и кредитов, предоставленных странам АСН и МЕРКОСУР, в формировании отношений между странами интеграций и Китаем. Также подчеркнуты сложности, возникавшие в период формирования отношений, и отмечена их роль для дальнейшего взаимодействия. Именно культурная и экономическая сферы легли в основу отношений стран АСН и МЕРКОСУР с Китаем, в то время как политические контакты сильно зависели от того, кто приходил к власти в том или ином рассматриваемом латиноамериканском государстве.

The presented work analyzes the relations of the countries of the Andean Community of Nations and the Common Market of South America (Mercosur) with China at the historical stage. The main stages of interaction are considered, and the areas of cooperation that formed the basis of the Asian power's relations with the countries of the two integrations are highlighted. The paper notes that the Andean Community and Mercosur are among the most promising associations of Latin America and the Caribbean and their cooperation with China is unique, but also it emphasizes the differences in the relationship of the two integrations with the Asian state. It is at the historical stage of the interaction between the countries of these two integrations with the Asian power that the foundations for further cooperation were laid. Moreover, the role of Chinese investments and loans to the Andean Community and Mercosur countries in shaping the relationship between the integration countries and China is examined. The difficulties encountered during the formation of the relationship are also emphasized and their role for further interaction is noted. It was the cultural and economic spheres that formed the basis of relations between the Andean Community and Mercosur countries and China, while political contacts depended heavily on who came to power in the Latin American state under consideration.
THE CONSEQUENCES OF THE WAR OF OCTAVIAN AND SEXTUS POMPEY FOR SICILY ON THE EXAMPLE OF MORGANTINA
Authors: Ленчук В.Ю. , Никишин В.О.
Published: August 2024

В статье рассматриваются малоизученный период истории Сицилии в начале эпохи Принципата и государство Секста Помпея. Основное внимание уделяется последствиям гражданских войн I в. до н.э., которые значительно повлияли на социально-экономическое развитие региона. Автор анализирует археологические и нумизматические данные, а также литературные источники для реконструкции исторического контекста и оценки действий Октавиана против городов Сицилии, поддерживавших Секста Помпея. Особое внимание в статье уделено разрушению Моргантины и других поселений. Автор приходит к выводу, что карательные операции Октавиана и его легатов привели к значительному упадку региона, который начал восстанавливаться лишь к концу I в. до н.э.

The article deals with the little-studied period of the history of Sicily at the beginning of the Principate era and the state of Sextus Pompey. The main focus is paid to the consequences of the civil wars of the 1st century BC, which significantly affected the socio-economic development of the region. The author analyzes archaeological and numismatic data, as well as literary sources to reconstruct the historical context and evaluate Octavian's actions against the cities of Sicily that supported Sextus Pompey. The article pays special attention to the destruction of Morgantina and other settlements. The author concludes that the punitive operations of Octavian and his legates led to a significant decline of the region, which began to recover only by the end of the first century BC.
NATURAL INTELLIGENCE AND PROBLEMS OF ITS DEVELOPMENT FOR THE PURPOSE OF ENSURING SPIRITUAL AND CULTURAL SECURITY OF THE ECOWORLD OF RUSSIA
Authors: Баркова Э.В.
Published: August 2024

Обоснована востребованность развития естественного интеллекта – атрибута совершенствования мира человека, основы общей интеллектуальной культуры, источника функционирования науки и направленности проектов искусственного интеллекта. Проблема сохранения естественного интеллекта раскрыта в качестве глобальной проблемы современности и необходимого условия духовно-культурной безопасности России. В логике экофилософии и аргументированной на базе ее принципов философии науки открывается потенциал оздоровления Российского общества и пространства отечественной науки. Введение в активный научный оборот и систему образования понятия «естественный интеллект» и укрепление его научного статуса показано в контексте целеполагающих стратегий сохранения целостности России и гармонизации бытия Экомира Земли.

The demand for the development of natural intelligence is substantiated – an attribute of improving the human world, the basis of general intellectual culture, the source of the functioning of science and the direction of artificial intelligence projects. The problem of preserving natural intelligence is revealed as a global problem of our time and a necessary condition for the spiritual and cultural security of Russia. The logic of ecophilosophy and the philosophy of science argued on the basis of its principles reveals the potential for improving the health of Russian society and the space of domestic science. The introduction of the concept of “natural intelligence” into active scientific circulation and the educational system and the strengthening of its scientific status is shown in the context of goal-setting strategies for the concept of preserving the integrity of Russia and harmonizing the existence of the Earth’s Ecoworld.