bluuebunny/crossref_metadata_2025 huggingface dataset:
Does Life Satisfaction Influences Work Family Conflict among Nurses Working in Teaching Hospitals in Anambra State
Authors: J. E. Chinwe , T. S. Florence
Published: June 2024

Life satisfaction has been shown to be a major factor influencing productivity across different categories of employees including health workers. Nurses encounter challenges of balancing their work and family life. They are also mindful of achieving satisfaction in various aspects of life. Understanding the relationship between work-family conflict and life satisfaction is crucial for creating a supportive and friendly work environment, which would enable the nurse lead a satisfied life. This study hence aimed at ascertaining the relationship between work-family conflict and life satisfaction among nurses. It is a cross-sectional survey conducted in Nnamdi Azikiwe University Teaching Hospital (NAUTH) and Chukwuemeka Odumegwu Ojukwu University Teaching Hospital (COOUTH) in Anambra State, Nigeria. A sample of 420 nurses was used for the study. The instruments for data collection included work-family conflict questionnaire and the satisfaction with life scale. The collected data was analysed using frequency, percentage, mean, standard deviation and Spearman correlation using the SPSS 25. Results showed that majority had life satisfaction (79.5%). There also was a positive relationship between life satisfaction and work-family conflict (p < .001). This study recommends that recruiting more nurses and implementing a flexible work arrangement in health facilities such as study leave, sufficient maternity leave, etc., which would help nurses cope while pursuing the various highpoints leading to higher life satisfaction.
Nonlinear Analysis in Skin Cancer Detection: Customized Convolutional Neural Networks Approach
Authors: Deepak Mane
Published: June 2024

Skin cancer is a common and possibly fatal illness, emphasizing the critical importance of early detection for effective treatment. Convolutional Neural Networks (CNNs) have become effective methods for automating the detection of skin cancer in recent years. This paper proposed a novel approach to skin cancer detection, aiming to develop a robust classification system which will be able to differentiate between skin lesions with different types. The HAM10000 dataset contains a total of 10,015 images of different skin lesions. There are 7 different kinds of skin cancer photos in this collection, each sized 450x600 pixels with three color channels. To address class imbalance, oversampling was applied, and data augmentation was used to reduce the risk of model overfitting. Our proposed model comprised a customized CNN model, including convolutional layer, input layer, batch normalization layer, max-pooling layers and many more. Additionally, we utilized a customized MobileNet model incorporating various layers, such as dense layer, flattened layer, dropout layer, etc, to predict the disease precisely. Training optimization involved a learning rate reduction strategy using callbacks. Comprehensive model evaluation, utilizing various techniques, yielded an accuracy of 98.5% for the CNN model and 92% for the MobileNet model.
An Statistical Analysis of Gated Recurrent Unit Based Predictive Modelling for Dynamic Obstacle Avoidance in Autonomous Aerial Vehicles
Authors: Nisha Wankhade
Published: June 2024

More and more, autonomous aerial vehicles (AAVs) are being used for a wide range of tasks, such as monitoring, search and rescue, and item delivery. One important part of AAVs' liberty is that they can safely move through changing surroundings. To be successful at dynamic obstacle avoidance, you need to be able to guess how objects will move in real time using good predictive modeling. In this work, we suggest a new way to use Gated Recurrent Units (GRUs) for predictive models in AAVs' dynamic obstacle avoidance. This is a type of recurrent neural network (RNN) called the GRU. It works well for handling linear data and has shown promise in many areas, such as natural language processing and time series prediction. Through our method, we use GRUs to predict how dynamic objects move by looking at past data. The model projects where the obstacles will be in the future based on where the AAV is now and where they have been in the past. The AAV can change its direction to avoid hitting things by constantly changing its predictions in real time. We use a collection of synthetic AAV flights in changing settings to train the GRU model. The file has details about the AAV's location, speed, and direction, as well as the locations of moving objects. We preprocess the data to get the important traits out of it and make it more uniform so that the training process works better. Then, we train the GRU model using both past data and real-world information about where obstacles will be in the future. We use a set of measures, such as impact rate, forecast accuracy, and processing speed, to judge how well our method works. The outcomes show that the GRU-based predictive modeling method greatly enhances dynamic obstacle avoidance performance when compared to conventional approaches. The AAV that has our model can successfully move through complex settings with changing objects, staying on a smooth path without running into any problems.
Analytical Image Authentication in Healthcare: Deep Learning Based Mathematical Methods for Uncovering Large-Scale Forgery in Medical Images
Authors: Sharda Mahajan
Published: June 2024

Analytical Image Authentication in Healthcare uses a variety of deep learning methods to demonstrate a more advanced way of verifying images. It uses ResNets, Capsule Networks, Long Short-Term Memory (LSTM), Generative Adversarial Networks (GANs), and Convolutional Neural Networks (CNNs). Combining these state-of-the-art algorithms makes the system more accurate and reliable at finding large-scale forgery in medical pictures. In response to the growing danger of digitally changing healthcare images, this study creates a new, more thorough approach that goes beyond current methods. Forgery identification depends on CNNs, which make it possible to pull out complex picture data. Additionally, ResNets add more detail to models, which makes it easier to spot subtle trends that point to tampering. Using Capsule Networks gives the model a new point of view and lets it store structured connections within pictures, which improves its ability to identify things. According to research, LSTM networks help the system understand time better, which is important for finding small changes between medical scans. Additionally, using GANs adds a special competitive element that helps the model tell the difference between real and fake pictures through training against other models. After a lot of testing and improvement, the suggested way works better than others at finding fake activities in medical images. Utilizing cutting-edge deep learning methods and mathematical models together, this method guarantees the accuracy and trustworthiness of medical data, which builds trust in healthcare systems. To test the suggested way, a normal set of medical picture datasets with various types of fakes are used. These include copy-move, cutting, and editing. Experiments show that the multi-modal method is a good way to find and pinpoint faked areas because it is very accurate and not easily duplicated by different types of fraud.
Eight Error Correction for (57,29,17) Quadratic Residue Code Over Binary Field
Authors: P. Shakila Banu
Published: June 2024

This paper introduces novel parameters and presents a method- ology for identifying the necessary syndrome indices required to compute the unknown syndromes within the context of the (57, 29, 17) quadratic residue code. By determining the resulting index sets, the unknown syndromes can be computed, subsequently leading to the derivation of the corresponding error-locator polynomial through the application of a de- coding algorithm.
On Fixed Point for Nonexpansive Mappings in Partial Metric Spaces
Authors: Arta Ekayanti
Published: June 2024

In this paper, we establish some fixed points theorem for nonexpansive mappings in partial metric spaces. Our result generalizes Vetro’s results (2015) in the setting of partial metric spaces. This work proves and generalizes some results of Aydi (2017). Suitable example is provided to illustrate the usability of our results.
TCR 5000 CONSTANT CURRENT REGULATOR'S SAFETY DESIGN UTILIZING PROGRAMMABLE LOGISTIC CONTROL
Authors: Prawiraatmaja Basil Aldrian , Himayati Arini zulfa , Callista Annisa Baby , Azzahra Vania Nadhifa
Published: June 2024

Air transportation must have security procedures from landing to taking off the plane in the application of the plane guided by the Airfield Lighting System (ALS). CCR type 5000 is one of them to provide visible information on the aircraft. At Husein Sastranegara Airport, damage often occurs on the module due to a poor grounding system and non-standard insulation resistance. This research aims to design CCR safety with TCR 5000 type, which can be applied to Husein Sastranegara International Airport concerning regulatory standards and will be outlined in this research. This research has the following objectives: to design a safety device for the CCR with TCR 5000 type, to prevent damage to the CCR module, and to be used as a reference for airport management. This study's research and development (R&D) methodology begins with observation. According to the study's findings, the PLC-based CCR 5000-type CCR safety design can reduce damage to the CCR module. The PLC will turn off the CCR's power supply if it detects an overcurrent. The buzzer will sound to facilitate technicians' ability to determine whether the CCR type TCR 5000 is experiencing overcurrent.
El desarrollo decisional de la jurisprudencia del Consejo de Estado colombiano en cuanto a la reparación del daño ambiental consecutivo directo
Authors: Rojas Rueda Javier Felipe
Published: June 2024

Between 2004 and 2021, the jurisprudence of the Colombian Council of State on tort liability addressed the study of cases in which the plaintiff, attributing environmental damage to the State, sought full reparation of damages. Given that these damages may deprive certain persons of the use or enjoyment of the values that the ecosystems they inhabit provide them, this research aims to answer the question of what is the ideal way to order the reparation of harm attributable to the State, of the individual facet of the constitutional right to a healthy environment. For this purpose, the methodology of the jurisprudential line proposed by López Medina (2006) is applied to those cases where direct consequential environmental damage is attributable to the State, arguing that the ideal way to compensate for this type of damage is reparation in kind. It is suggested that disregard for the individual facet of the right to a healthy environment in the contentious administrative jurisdiction implies that the reparation of environmental damage is partial; therefore, the study proposes as a solution a sentence in which the Council of State unifies its jurisprudence recognizing the individual facet of this right.
Pembrolizumab-induced necrotizing diaphragmatic myositis
Authors: Rodríguez-Plaza David , Marco Carla , Vidal Noemi , Prats Enric
Published: June 2024

Pembrolizumab, an anti-PD1 antibody, is increasingly used for the treatment of non-small cell lung cancer. We report a severe and poorly described adverse effect of this therapy: necrotizing myopathy with diaphragmatic and myocardial involvement. A 77-year-old male was diagnosed with metastatic lung adenocarcinoma and started a regimen with chemotherapy along with Pembrolizumab. Two weeks after the second cycle, he was admitted to the hospital due to acute myocarditis and hypercapnic respiratory failure. Treatment with glucocorticoids and Mycophenolate improved his cardiac condition. However, hypercapnic respiratory failure persisted, as well as orthopnea and generalized muscle weakness including bulbar musculature. After comprehensive evaluation including diaphragmatic ultrasound, electromyogram, and biopsy, he was diagnosed with autoimmune necrotizing myopathy with diaphragmatic and myocardial involvement. Treatment with intravenous immunoglobulins and non-invasive mechanical ventilation was added. However, he experienced respiratory deterioration, resulting in death. This case exemplifies the importance of early recognition and intensive treatment of this serious adverse effect. Due to the increasing use of these therapies, it is expected to see a parallel increase in their adverse effects in the coming years. Keywords: Pembrolizumab, necrotizing diaphragmatic myositis
The Hydroquinone Content in Whitening Cream Samples Sold Through Online Marketplace
Authors: Nuriyah Nuriyah Umi Lathifatun , Herni Setyawati  , Amanda Eviomita Rizki
Published: June 2024

Whitening cream is a product that has an active ingredient composition that can slow down the formation of melanin so that it can whiten the skin. Hydroquinone is an active compound that is usually added to whitening cream preparations to prevent pigmentation which causes skin darkening. So that the process of use must be monitored. But the rise of cosmetic products on the market, especially online marketplaces, is an opportunity for weak supervision by drunken parties. For this reason, qualitative and quantitative analysis of hydroquinone compounds in whitening cream preparations sold on online marketplaces needs to be carried out. Qualitative analysis was carried out by testing the color reaction using FeCl3, benedict, and fluoroglucine reagents. From the qualitative analysis, 2 hydroquinone positive samples were obtained from 10 tested whitening cream samples. Quantitative analysis was carried out using the UV-Vis spectrophotometry method using fluoroglucin. The results of the analysis showed that the cream sample proved to contain hydroquinone, namely sample B with 0.073 ppm and sample F 0.044 ppm.
Formulation and Activity Test of Cold Shake Noni Fruit Extract (Morinda citrifolia L.)
Authors: Rasdawati  , Nurisyah  , Dewi Sisilia Teresia Rosmala
Published: June 2024

Noni fruit (Morinda citrifolia L.) is known to contain flavonoids, alkaloids and saponins. Flavonoid compounds function as antioxidants. This study aims to determine the antioxidant activity and stability of whipped cold powder extract of Noni Fruit (Morinda citrifolia L.). Noni fruit (Morinda citrifolia L.) was extracted using the maceration method using 96% ethanol, then evaporated using a rotary evaporator. The preparation of whipped cold powder Noni Fruit extract was made in 3 formulas with various concentrations, F I (3%), F II (6%) and F III (9%). The cold whipped powder formula is made without using extract as a base (F 0). Test the antioxidant activity of the DPPH solution as measured by a UV-Vis spectrophotometer at a maximum wavelength of 519 nm, the results of the analysis showed the average % inhibition of F I was 76.43%, F II was 81.69%, F III was 81.81% while the chilled powder base (F 0) was 9.21%. Of all the formulas that have the most effective antioxidant activity is F II with a concentration of 6%. Next, an evaluation of the whipped cold powder preparations was carried out, namely organoleptic testing, homogeneity, pH, viscosity, and adhesion of all the cold whipped powder preparations that met the requirements.
Combined treatment of inflammatory periodontal diseases
Authors: Costru Tudor
Published: June 2024

Treatment tactics for patients with inflammatory periodontal diseases continue to be the subject of discussion among specialists in the field. Technical-scientific progress offers safe technologies and methods for treating patients with periodontal pathologies. Currently, when various methods of treating inflammatory conditions of the periodontium are recognized, we come up with the proposal to implement a minimally invasive method of combined treatment. The combined treatment process includes the use of an autologous preparation - plasma platelets-enriched plasma (PEP) and hyperbaric oxygen. The treatment program consists of the injection of autologous plasma enriched in platelets into the periodontal tissues, once every 7 days in 3-4 sessions. In the interval between injections, we perform 2-3 sessions of per-mucosal, non-invasive hyperbaric oxygen infusion. A session lasts about 15-20 minutes. The injected autologous plasma is the patient’s „own product”, thus, it is not toxic and does not present adverse reactions. Moreover, it has a pronounced locoregional curative effect. Hyperbaric oxygen has a role in restoring the oxygenation of damaged cells, increasing blood circulation, and stimulating tissue function. As result of the combined treatment, we obtained not only the treatment of the inflammatory processes of the periodontium, but also triggered the physiological processes of restoring the structure of the periodontal tissues and the prevention of the bone tissue consistency loss.
Problems of diagnosis and prognosis of tumors in children
Authors: Railean Silvia , Ursu Dănis , Poştaru Cristina
Published: June 2024

Introduction. Tumor pathology in children is frequently encountered in children and over several years, an increase in these pathologies has been observed among the pediatric population. Early treatment versus delayed diagnosis is a problem in the pediatric population. Objective of the study. Analysis of tumor markers in the diagnosis and prognosis of tumors in children. Materials and methods. 88 blood samples were analyzed in which tumor markers were determined in children with tumors located in different anatomical areas of the body. They were analyzed. Oxidative stress indices, thiol-disulfide metabolism indices, antioxidant system indices, inflammatory markers were analyzed. The study was carried out within the State project “Modern personalized surgery in the diagnosis and complex treatment of tumors in children” 2020 2023. Results. Inflammatory markers showed significant values in children with tumor processes. VEGF in both malignant and benign tumor processes was observed with significant deviations. In the environment for benign tumor processes being 140,876 ± 34.68 pg/ml and for malignant ones 79.12 ± 15.14 pg/ml. The largest deviation was detected in tumor processes in the abdominal region, being 246.21 ± 34.14 pg/ml, and the smallest being in malignant processes, 79.12 ± 15.14 pg/ml. Conclusion: Inflammatory markers can be early diagnostic indicators of tumor pathology in the pediatric population.
Analysis of The Selection of Vaginal Birth After Cesarean (VBAC) Delivery Methods in the Cengkareng Area of West Jakarta
Authors: Musdalifah Siti , Rukmaini  , Novelia Shinta
Published: June 2024

The increase in the number of deliveries by CS causes an increase in the number of women with a history of CS for a second pregnancy and becomes a problem for subsequent types of birth. An effort to reduce the incidence of CS delivery is with Vaginal Birth After Caesarean (VBAC). Vaginal birth After Caesarean (VBAC) is a vaginal birth after a cesarean section (Cunningham, 2013). Mothers who are afraid of undergoing a normal birth process are caused by many factors, one of which is the problem of lack of information provided and support from both health workers and family regarding the choice of VBAC method. This study aimed to determine the relationship between maternal knowledge, family support, and health worker support on the choice of VBAC method at TPMB West Jakarta City in 2024. The method used in this research is observational analytics with a Cross-Sectional Study design. The sample in this study was pregnant women in the second and third trimesters with a history of 1 time non-absolutely indicated CS (such as CPD, uterine rupture). In this research, the instrument used was a questionnaire sheet. The analysis used Chi Square. There is a relationship between knowledge and the choice of delivery method, Vaginal Birth After Caesar (VBAC), the value is (p=0.000), there is a significant relationship between family support and the choice of delivery method, Vaginal Birth After Caesar (VBAC), the value is (p=0.000) and there was a significant relationship between support from health workers and the choice of delivery method. Vaginal Birth After Caesar (VBAC) was obtained (p=0.000).
The Relationship Between Female Adolescent’s Perception of Stunting and Their Dietary Habits
Authors: Nursasmita Rizqi , Ayu Kristianti Ni Putu , Mayasari Usman Andi
Published: June 2024

Stunting is a chronic nutritional problem caused by a lack of nutritional intake over a long period of time. Dietary habits are healthy and balanced eating patterns that help control blood glucose and balance body weight. The cause of the increase in stunting rates is due to the lack of knowledge in adolescents who will become future mothers about good nutritional intake, due to a poor economy that makes it difficult for people to get nutritious food to fulfil children's nutrition during their growth and development. For this reason, stunting prevention can be done since adolescence. This study aims to determine the relationship between perceptions of stunting and dietary habits of adolescent girls at SMA Nurul Falah North Jakarta. This study used a quantitative research design with a cross sectional approach. The sample in this study were 76 female students. Samples were taken with simple random sampling technique. The instrument used was a stunting perception questionnaire and dietary habits and validity and reliability tests were carried out, obtained the results of the stunting perception questionnaire (0.847) and the dietary habits questionnaire (0.645). The results of this study indicate that there is a relationship between perceptions of stunting and dietary habits of adolescent girls with a p-value of 0.001 and a value of r=0.376. There is a relationship between perceptions of stunting and dietary habits of adolescent girls at SMA Nurul Falah Jakarta. It is hoped that the school can provide education about stunting and prevention methods that adolescents can do to break the chain of stunting in the future and provide education on how to carry out a good and healthy dietary habits programme.
AutoAsmaAlert: Technological tool to prevent Salbutamol Overuse in a Colombian Healthcare Provider "Letter to the Editor"
Authors: Angel Arroyo Alzate Miguel , Adrián López-Castillo Christian , Bernal-Villada Laura , Buelvas Walberto , De Oro Karen , Camilo Rivera Juan , Pinilla Santiago , Garcia Paula , Rivero Paola , Almanza Maribeb , Gonzalez Leonor
Published: June 2024

The use of Salbutamol for the treatment of asthma has been a part of regular therapy as a short-acting β2-agonist since the 1960s. In the GINA 2024 guidelines, it is indicated that the use of salbutamol in monotherapy has been associated with increased mortality and poor asthma control. Therefore, the development of alternatives that allow rapid identification of its overuse is of great interest for the management of the disease. In order to achieve this objective, it was proposed to develop the technological tool, Auto Asthma Alerts “AAA”, with the aim to identifying in the clinical history and in real time the overuse of SABA (more than 3 inhalers per year) and thus alert physicians. The platform was successfully trialled on a pilot scale in a healthcare institution in Montería, Colombia, MediSinu IPS.
Influencia del uso del suelo en los niveles estáticos de pozos de la microcuenca del río La Carreta, San Juan de Cinco Pinos, Chinandega, Nicaragua
Authors: Espinoza Acuña Mariann José , López Barrientos Félix
Published: June 2024

El agua subterránea es un recurso vital que constituye la mayor reserva de agua dulce accesible, por lo que garantizar su disponibilidad es una acción prioritaria para el bienestar de las comunidades rurales. El objetivo de este estudio fue evidenciar la importancia de la cobertura vegetal y su influencia en la disponibilidad del recurso hídrico a partir del monitoreo de las variaciones de los niveles estáticos de agua subterránea en pozos en la microcuenca del río La Carreta, en San Juan de Cinco Pinos, Chinandega, Nicaragua. Se midió la profundidad del espejo de agua de los pozos con una sonda piezométrica Solinst Water Level Model 102 en febrero, marzo, abril, septiembre, octubre, noviembre y diciembre del año 2018. Se utilizó el modelo ANUDEM para generar mapas de los niveles estáticos de agua subterránea de la microcuenca a partir de la interpolación de las mediciones tomando en cuenta su topografía. Las condiciones climáticas del 2018 propiciaron que las variaciones de los niveles de agua subterránea fuesen más marcadas, presentando valores mayores a seis metros de profundidad del nivel estático durante el periodo seco, en suelos arcillosos con poca cobertura vegetal asociada a usos agropecuarios, en contraste con el periodo lluvioso, que se mantuvo a menos de cuatro metros de profundidad en gran parte de la microcuenca. La variación de los niveles estáticos en abril a noviembre en pozos rodeados con cultivos agrícolas y pasturas es menor comparado con los pozos rodeados de bosques latifoliados, evidenciando la incidencia de la cobertura forestal en la recuperación del nivel estático. Se concluye que el uso del suelo influye en la variación de los niveles estáticos del agua subterránea, siendo los usos que presentan mayor cobertura forestal los que favorecen que el espejo de agua de los pozos se encuentre más próximo a la superficie del suelo.
Os nexos e relações do lazer na lógica econômica do capital
Authors: Cruz Marlon Messias Santana , Medeiros Ana Gabriela Alves , Reis Nadson Santana
Published: June 2024

O presente estudo pretende analisar as produções do conhecimento sobre lazer e sua relação com a educação e a Educação Física, com o objetivo de levantar nexos e contradições que estabelecem a realidade desses estudos no Brasil, a fim de reconhecer que possibilidades de contribuições significativas atendem aos interesses da classe trabalhadora. Nossa discussão teórica envolve autores que desenvolveram seus estudos em torno do nosso objeto de investigação: o lazer e a lógica de produção capitalista. Partimos da compreensão do lazer, desde a apreensão histórica, até a concepção de lazer proposta pelo sistema econômico - produtivo da sociedade na atualidade.  Propomos nesse estudo uma pesquisa exploratória bibliográfica. Para isso, foram selecionadas produções acadêmicas relevantes para a área. Para tanto, busca-se nesse estudo uma análise do que foi publicado sobre lazer e sua relação com a educação e a Educação Física, entendendo o lazer como fenômeno da práxis social produzida pela cultura humana em relação à forma com que os seres produzem a existência. Por entender que a escola é um espaço social de apreensão da cultura e o lazer sendo parte dessa cultura, se faz necessário reconhecer em que bases se apresentam os estudos que estabelecem relações e nexos sobre lazer e educação, considerando uma problemática do campo de conhecimento de Educação Física.  Portanto, busca-se reconhecer as possibilidades significativas do lazer que atendam às necessidades da classe trabalhadora, à luz de uma teoria do conhecimento que viabilize a compreensão do lazer como prática social inerente à vida humana, em sua totalidade histórica, reconhecendo seus determinantes econômico-social e político. Os resultados apontam como o projeto histórico capitalista condiciona o trabalhador com relação às práticas do lazer, uma vez que este só irá se envolver nas práticas inerentes ao lazer a partir do momento que se submeter a uma exaustiva jornada de trabalho, para receber uma quantia mínima e consequentemente fortalecer a classe hegemônica.
A comparative analysis of rotating airfoils focusing on aerodynamic performance and airflow patterns through 2D unsteady simulations
Authors: Taibaoui Ahmed , Benmessaoud Tahar
Published: June 2024

The blade section of a wind turbine plays a pivotal role in harnessing the power of the wind to generate clean and renewable energy. Each turbine blade is carefully designed with specific aerodynamic principles in mind, primarily focusing on lift and drag forces. Understanding the intricacies of aerodynamics in this context is crucial for optimizing energy capture and ensuring the overall efficiency of wind power systems. In this context the present paper investigates the aerodynamics of three airfoils named NACA-4412, NACA-23012, and NACA-63415 using numerical simulations performed with Ansys Fluent software, with a specific focus on performance and airflow patterns. Through two-dimensional unsteady simulations, the computational approach thoroughly explores the impact of rotational speeds (ranging from 2 to 16 degrees per second) and a range of Reynolds numbers from 1.25e6 to 2e6. The findings illustrate the dynamic interplay between airflow patterns and operational factors. Variations in velocity magnitude, influenced by rotational speeds and Reynolds numbers, were observed. These variations provided additional insights into flow behavior near the airfoil, including the identification of flow separation regions, as depicted by the velocity vectors. Analysis of lift coefficient values revealed a minimal variation concerning changes in rotational speed, suggesting 8 degrees per second as an appropriate rotational speed for the studied cases. Examination of airfoil aerodynamic coefficient trends highlighted noteworthy findings. Drag coefficient values exhibited an increasing variation over time, with higher values observed in the case of the NACA-63415 airfoil. On the other hand, lift coefficient values displayed an increasing variation reaching a maximum value, followed by a decreasing trend. Notably, the NACA 4412 airfoil demonstrated superior aerodynamic coefficients compared to the other studied airfoils.
Síndrome de Gilles de la Tourette: o impacto das abordagens terapêuticas e farmacológicas na qualidade de vida
Authors: Morais Rian Barreto Arrais Rodrigues de , Briceno Davi Omar Castro , Beserra Antonio Thiago , Versa Lucas Casarotto , Araújo Renato Silva Medeiros de , Souza Eduarda Eguchi de Andrade , Vieira Gabriela Marques , Camurça Leonardo Torres , Honorato Gustavo Silva , Lorena Guillermo Cândido de , Vieira Leonardo Sales Martins , Felipe Aretha Maria Benigno Silva , Pinheiro Guilherme Henrique Vieira Priotto , Tomazini Hísllani Thauanni dos Santos
Published: June 2024

Introdução – A Síndrome de Tourette (ST) é um distúrbio do neurodesenvolvimento que consiste em tiques motores e fônicos que variam, entre indivíduos, em intensidade e em frequência. Como mecanismo de intervenção para auxiliar os portadores da síndrome, diversas terapêuticas são ofertadas atualmente, como forma de minimização dos sintomas desencadeados por esse distúrbio, no entanto, nem todas se aplicam aos pacientes. Objetivos – O objetivo deste trabalho é analisar os principais avanços da medicina para diminuir os efeitos da síndrome de Tourette e melhorar a qualidade de vida. Metodologia – Esse trabalho utiliza como princípio norteador, os fundamentos da revisão de literatura integrativa e descritiva, para isso utilizou-se uma visão exploratória da bibliografia médica e a inclusão de estudos foi realizada de maneira qualitativa, pontuando elementos fundamentais vinculados ao tema em revisão. Resultados – A análise das obras demonstrou que o impacto psicossocial da Síndrome de Tourette é significativo, tendo em vista o período de evolução da doença, que geralmente acontece, em especial, durante os 9-12 anos de idade, aumentando o estigma da doença e prejudicando a formação psicoemocional do indivíduo, principalmente, quando não há um acompanhamento direcionado e especializado. Diversos recursos estão disponíveis para o tratamento da doença, sendo mais indicada a combinação de estratégias farmacológicas, terapia cognitivo comportamental e, se necessário, medidas alternativas como a cirurgia de estimulação profunda do globo pálido, mas que ainda possui dados controversos e é mais invasiva. Conclusão – A sinergia de estratégias multidisciplinares, que amalgamam intervenções médicas, psicológicas e sociais, assume um papel crucial na promoção de uma qualidade de vida mais robusta e no fomento do bem-estar dos indivíduos acometidos pela ST.
A importância da história da matemática na aprendizagem matemática
Authors: Pereira Júlio Cesar Santos , Luz Deusilande Muniz Deusdará , Ramalho Ricardo de Oliveira , Silva Antônio Veimar da , Jordão Graziela Martins , Melo Junior Madson Fernandes de , Moura Ícaro Jael Mendonça , Colares Cintya Barreiro , Martins Dayse Marinho , Pinheiro Filho Isac Sales , Silva Erivonaldo Alves da , Silva Neto Raimundo Cazuza da , Mbohou Sylvain , Pessoa Ailton Caetano Nascimento , Souza Júnior Pereira de
Published: June 2024

A história da Educação Matemática, muitas vezes negligenciada ou reduzida a anedotas, é crucial para o entendimento e desenvolvimento matemático. Ela revela uma dimensão humana rica, marcada por controvérsias e conflitos entre cientistas, debates que impulsionaram avanços e também causaram retrocessos e estagnações teóricas. Nesse sentido, a história da matemática é fundamental para entender a origem, o contexto e os interesses que motivaram os matemáticos a desenvolverem suas teorias ao longo das eras. Integrar a história da matemática nas salas de aula é discutido como essencial, não apenas para enriquecer a vida acadêmica dos alunos, mas também a sua compreensão fora do ambiente escolar. Ao explorar as trajetórias dos grandes matemáticos e as circunstâncias em que suas descobertas foram feitas, os estudantes podem desenvolver uma apreciação mais profunda da matemática como uma disciplina dinâmica e em constante evolução. Essa abordagem histórica pode tornar a matemática mais acessível e interessante, humanizando o aprendizado e mostrando que a matemática é um campo em que erros e acertos fazem parte do processo de descoberta. Propõe-se a adoção de abordagens inovadoras para ensinar essa história de forma efetiva, destacando sua importância no processo de aprendizagem. O presente artigo sugere que a história da matemática seja utilizada como uma ferramenta de investigação em sala de aula, permitindo que os estudantes abordem a matemática de maneira crítica, reconhecendo diferentes métodos e compreendendo as etapas na formulação de conceitos e modelos matemáticos específicos. Além disso, essa prática pode incentivar os alunos a valorizar a colaboração e a troca de ideias, essenciais para o avanço do conhecimento matemático. Ao integrar essas histórias e contextos, os educadores podem contribuir para o desenvolvimento de um pensamento matemático mais aprofundado e uma visão mais ampla da disciplina.
Semi Solid MR Coal Mine Tunneling Machine Operation Training System
Authors: Yang Xu , Zhou Mingquan , Chen Chao , Zhong Weiwei , Yue Fen
Published: June 2024

At present, the coal mining industry is increasingly focusing on improving safety and operational efficiency, which has led to an increasing demand for training of coal mine excavation equipment operators, and the corresponding training costs have also increased. To alleviate these pressures, researching a training program for cantilever tunneling machines based on digital twin technology has become an innovative initiative. This article constructs a virtual environment for underground tunnels by combining mixed reality technology with physical entities. The operator commands the activities of the virtual tunneling machine through actual control of the equipment, and the system evaluates the operation process by tracking and analyzing the operator's posture, ultimately generating detailed evaluation scores. This innovative training model not only greatly enriches the user training experience, but also provides comprehensive data support, which helps to improve the skills and work efficiency of operators, and meets the new requirements and development trends of coal mine safety production.
Application of ARIMA and LSTM Model to the Forecast of CSI 300 Close Price
Authors: Zhang Zebang
Published: June 2024

This article uses two time-series analysis model, ARIMA model and Long Short-Term Memory neuron network model to predict the close price of CSI 300 Index. The ARIMA model only uses the past close price values to predict future close price while the LSTM model combine multiple variables into the prediction of future close price. The methods of fitting data with these two models are introduced. The predictive performance of the two fitted models is evaluated by calculating the Root Mean Squared Error, which is an indicator of the difference between predicted values and real values. This article then analyzes the prediction results and proposes the respective advantages and limitations of the two models. It is found that the ARIMA model performs better when predicting close price in a shorter period but may not perform well when doing long-term prediction. The LSTM model can predict a similar series trend with multiple variables and its parameters can be adjusted to get smaller RMSE and improve prediction performance.
Optimization Design of Heliostat Field Arrangement Based on Objective Optimization Model
Authors: Zhu Di , Liu Xinyi , Ding Xiaoxue
Published: June 2024

Tower solar energy achieves high efficiency solar heat conversion by virtue of the advantages of concentrating light and collecting heat. In this paper, a spatial model of the sun's incident light collection and the mirror's reflected light collection is established. The sun's orientation at different times is investigated and the optical efficiency of each heliostat is obtained. The average of the optical efficiency of the heliostat field in the case of the collection of incoming solar rays is obtained as the optical efficiency of the heliostat field under the irradiation of the sun cone. Firstly, based on the latitude and longitude of the heliostat field, the altitude Angle and azimuth Angle of the sun at different times are calculated. Secondly, according to the position coordinates of heliostatic center and absorption tower in geodetic coordinate system, the normal direct radiation irradiance DNI and atmospheric transmittance  of all heliostatic fields are determined . Subsequently, a number of mirror coordinate systems are established to calculate the direction vector of the sun incident light and the direction vector of the mirror center pointing to the collector center, and obtain the incidence Angle, mirror normal vector, helioscope pitch Angle, helioscope azimuth Angle and cosine efficiency  of each helioscope. According to this, the ray tracing method is used to calculate the shadow blocking efficiency  of the mirror. Finally, the HFLCAL model is used to calculate the collector truncation efficiency , and the average annual optical efficiency of the heliostat field is 0.313067, the average annual output work and heat rate is 19.266981MW and the average annual output power per unit mirror area is 0.306701kw/m2.
Application of Remote Sensing Technology in Chinese Marine Pollution Monitoring
Authors: Lin Zhishen
Published: June 2024

The ocean is an important source of food and energy for global ecosystems, so the protection and monitoring of Marine water quality have become extremely important. By introducing the development of remote sensing monitoring methods and the degree of offshore water pollution in China in recent years, this study explains the specific application of Marine remote sensing in China from three aspects of offshore oil pollution, plastic waste and algae. There are three best known Landsat series of satellites: Landsat, spot series of satellites, and high score series of satellites. Remote sensing technology plays a significant role in monitoring offshore oil spills, marine plastic trash, ocean surface water quality, marine ecology, and maritime pollution. Sources of marine pollution in China is mainly from land-based pollutants and pollutants directly discharged into the ocean. This study provides technical also discusses the application field of remote sensing technology in the ocean, which provides a scientific basis for marine protection and marine ecological environment management.
Implications of Spectral Energy Distribution in Cosmic Dust Analysis via THESAN Simulations
Authors: Zhuang Xuping
Published: June 2024

As a matter of fact, analysis of comic dust features remains a hot topic in cosmology and astrophysics. In recent years, a state-of-art astrophysics simulations project, i.e., the THESAN project, provides high-resolution simulations in the universe, shedding new lights on novel cosmology areas such as study of cosmic dust. As previous observations have been confined to z≤5, advanced simulation like THESAN is essential for a deeper understanding of cosmic dust in the early universe, which provides valuable information of numerous astrophysical processes. With this in mind, this study used Spectral Energy Distribution (SED) data of thousands of simulated galaxies from THESAN data to study and investigate cosmic dust’s impact on energy. According to the analysis, it is suggested cosmic dust components and correlation between dust temperature, redshift, and SFR (Star Formation Rate) at high redshifts ranging from six to ten. Overall, these results shed light on guiding further exploration of cosmic dust.
Unlocking Tennis Dynamics: A Hidden Markov Model Approach to Match Scoring
Authors: Cao Yaxian , Zhu Xiaoyun , Xu Yatai
Published: June 2024

The aim of this paper is to develop a scoring process model for tennis matches that is applicable to other match scenarios and is able to recognize a player's performance at a specific moment in order to focus on the player's status and match flow. First, we search for specific moments and optimize the model based on the known key moments as well as assigning certain weights to the serving player based on the player's match data and performance metrics. We constructed a model of the scoring process of a tennis match based on a Hidden Markov Model (HMM) to identify specific moments. By converting the match scoring event data into a time series dataset and subsequently assigning service weights, we used the Hidden Markov Model to predict match points. Ultimately, we obtain the probability that each match point belongs to a winning state.
Fusion Of SSA Mahjong Search and LSTM Model for Vegetable Sales and Pricing Research
Authors: Cheng Bin
Published: June 2024

In supermarkets, vegetable products have a short shelf life, and their quality deteriorates over time, making it challenging to sell them the next day. To formulate rational sales and pricing decisions, this article first analyzes the relationship between sales and prices. Due to the unique nature of vegetable products, pricing may also be influenced by historical sales and pricing information, which can be analyzed through regression data.The study begins with data preprocessing using EMD decomposition and utilizes an LSTM model to predict various vegetable categories. Additionally, an intelligent optimization algorithm, the SSA Sparrow Search Algorithm, is employed to optimize sales forecasts for the upcoming week. Combining historical sales data and pricing information, a multivariate time series prediction is performed, again using the LSTM model, but leveraging Bayesian optimization to determine pricing for various vegetable categories in the upcoming week.This approach provides a pricing strategy that maximizes the benefits for supermarkets.
Research on Imaging Methods based on Passive Source Surface Waves
Authors: Yang Feng
Published: June 2024

Surface waves can be categorized into active-source surface waves and noise-source surface waves based on their signal sources, corresponding to active source exploration and passive source exploration methods, respectively. Active source exploration requires artificial excitation, which not only damages the surrounding environment but is also susceptible to interference from ambient noise, thus demanding very high requirements for the measurement site. In contrast, passive source exploration does not require seismic source excitation, does not harm the environment, and has relatively simple data collection, making it cost-effective and environmentally friendly, with significant research value. This paper mainly introduces the imaging principle of ambient noise exploration methods. Under certain circumstances, ambient noise recorded over long periods between two stations can be used to derive dispersion curves through Green's functions, thus enabling the inversion of subsurface structures. To validate the method's effectiveness, Tesseral was used to establish a model (a simple horizontal layered model) to obtain noise data from different source locations and densities. Surface wave records were extracted and compared to analyze the intensity of surface wave records from different strata and source locations, studying the impact of different source densities and locations on surface wave imaging, and exploring the feasibility of the research. Then, high-quality fundamental mode dispersion curves from each group were extracted to analyze the reasons for varying quality in fundamental mode surface waves across different dispersion images, and the subsurface structure was inverted. Finally, practical data were used to test the applicability of the fundamental mode dispersion curve inversion.
Research and Application of Multiwave Number Line measurement Model based on Geometric Algebraic Plane Number Equation
Authors: He Xingyu , Le Wuzhan , Huang Zhihao , Li Wenhua
Published: June 2024

In order to solve the problem of designing the shortest line of multi-beam sounding in the specified sea area, a multi-parallel sounding model based on the plane beam equation is constructed for the first time. At the same time, in order to find the shortest exploration line in the unknown sea area, we divide the optional directions of the survey line into three different cases that can cover all the optional directions, namely, the Angle between the direction of the survey line and the projection of the normal direction of the seabed slope on the horizontal plane β = 0°, 90°, 180°, 270°. Compared with other papers that solve similar problems, we can make a comparison in different situations by quantitative analysis of the plane beam equation established in different directions, considering that the overlap rate of multi-beam sounding under the redefinition of three-dimensional model should not be too high, and the need to minimize the area redundancy caused by the exploration of unnecessary sea areas.  The direction corresponding to the shortest measurement line is obtained. After determining the direction, the specific shortest line and its shortest length can be obtained according to the relevant knowledge of spatial analytic geometry and algebra. In the problem studied in this paper, space analytic geometry and the use of algebraic related knowledge with refined steps can finally get more accurate results, and usually better than the performance of the applied algorithm, so we adopt this method for modeling and solving.