bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison and analysis of various machine learning algorithms in predicting the excitation current of constant speed AC motor
Authors: Mo Mingqiao , Tan Fusheng , Ding Hexin , Ge Na
Published: May 2024

With the wide application of motor in industry, transportation, home appliances and other fields, the performance requirements of motor are getting higher and higher, in which the excitation current of constant speed AC motor is one of its important performance indicators. Although the traditional method based on physical model can calculate the motor excitation current accurately, it needs a lot of physical parameters and experimental data, which is expensive and difficult to popularize. Therefore, the research of predicting the excitation current of constant speed AC motor based on machine learning algorithm has important practical significance. Divide the data set into the training set and the test set in a 7:3 ratio. Decision tree regression model, Random forest regression model, adaboost regression model, Gradient lifting tree regression model, ExtraTrees regression model, CatBoost regression model and K nearest are used respectively neighbor regression model was trained and the evaluation indexes MSE, RMSE, MAE, MAPE and R2of the model were calculated. According to the results of model evaluation parameters, the Gradient lifting tree model had the best prediction effect, and its MSE reached 0.002. The adaboost model has the second best performance, and its MSE reaches 0.055. The performance of CatBoost, Decision tree and CatBoost is average, while the performance of K nearest neighbor is the worst, with an MSE of 33.205. This paper compares five different models and analyzes the reasons why they perform well. In practical application, it is necessary to select the appropriate model according to the specific problem, and adjust and optimize it to achieve better performance.
Comparative analysis of working principles and applications of MOSFET and HEMT
Authors: Li Yingnan
Published: May 2024

Semiconductor materials are currently one of the most core materials in the worlds high-tech industry, and the research and development of semiconductor materials is related to the improvement of human technological level. This paper presents a comparative study of Metal-Oxide-Semiconductor Field-Effect Transistors (MOSFETs) and High Electron Mobility Transistors (HEMTs), two pivotal components in electrical engineering, each with unique characteristics and functions. Despite structural similarities, MOSFETs and HEMTs differ significantly in operation and conduction methods. MOSFETs rely on an inversion layer formed at the semiconductor-oxide interface, controlled by gate voltage, for electron conduction. Conversely, HEMTs utilize a two-dimensional electron gas (2DEG) at the interface of materials like Gallium Nitride and Aluminum Gallium Nitride, offering high electron mobility crucial for performance. Both share similar I-V characteristics but differ in performance under various conditions. MOSFETs are cost-effective, ideal for mass production and general applications, while HEMTs excel in stability and performance in extreme conditions, suitable for high-performance needs. This study underscores the importance of selecting the right component based on application-specific requirements, highlighting MOSFETs for cost-efficiency and HEMTs for challenging environments. This article will provide some guidance for the research of MOSFET and HEMT.
Advancements in driver fatigue detection: A comprehensive analysis of eye movement and facial feature approaches
Authors: Li Qinan
Published: May 2024

This article goes into sophisticated tiredness detection methods that make use of computer vision algorithms, including the Eye Movement and Facial Feature approaches. Eye movement analysis, which emphasizes blink frequency, Scanning speed, and gaze length, excels in tasks requiring sustained visual attention, which is critical in high-attention vocations. Facial Feature detection, on the other hand, monitors changes in expressions, muscle activity, and emotions, providing flexibility across a wide range of settings. Eye movement enables accurate indications, real-time responsiveness, and task-specific precision, which is especially important in high-attention occupations. Facial Feature is ideal for a variety of scenarios since it gives complete assessments, flexibility, contextual analysis, and non-intrusiveness. Case examples show how eye-tracking and convolutional neural networks may be used to improve accuracy. This study helps to weariness management by detailing the advantages and disadvantages of Eye Movement and Facial Feature methods. Given the pervasiveness of fatigue, knowing these sensing systems is critical for maintaining safety, productivity, and general well-being in a variety of professional and everyday life scenarios.
Machinery and logistics: Development trends and prospects of automated warehouse technology
Authors: Li Peizhang
Published: May 2024

The ongoing evolution of the logistics industry drives a significant shift towards intelligent warehouse systems, merging mechanical devices with advanced control systems. This study delves deeply into this fusion, striving to elevate cargo handling efficiency, reduce reliance on manual labor, and lower error rates. Through an exhaustive examination of contemporary warehouse models as well as key technologies like the Internet of Things (IoT), Artificial Intelligence-driven automation, robotics, Radio Frequency Identification (RFID), and specific industry applications, this research emphasizes the pivotal role of intelligent warehouse systems in transforming logistics. From real-time tracking to predictive maintenance and streamlined operations, these systems leverage cutting-edge technology, offering new optimization avenues across warehouse functions. Additionally, it showcases successful industry adoptions in sectors such as e-commerce, manufacturing, retail, and healthcare, spotlighting tangible benefits, and versatile applications. Despite acknowledging challenges like initial investment costs and integration complexities, this research anticipates future trends in Artificial Intelligence (AI), robotics, and data analytics, projecting further advancements in intelligent warehouse systems. Ultimately, it reveals the profound impact of technology on logistics, promising enhanced efficiency, reduced errors, and optimized warehouse management practices in a seamlessly integrated technological future.
Design of SIL-2 interlock function for tokamak fusion reactor
Authors: Gu Zhengyang , Zhao Yuxuan , Gong Weixiang , Zhiwei Xia , Wei Li , Bo Li
Published: May 2024

The ITER Gas Injection System (GIS) Regulates fueling and impurity gases during plasma discharges within the tokamak vacuum vessel. To implement ITER investment protection, the GIS requires capable of interlock function to shielding the gases from ITER vacuum chamber when Disruption Mitigation System (DMS) is triggered or an abnormality is detected, in order to prevent further damage caused by gas fueling. This paper presents the preliminary design of the interlock system for the ITER GIS per ITER plant interlock system design rules and guidelines. The design adopts a redundant and fault-tolerant architecture with fail-safe programmable logic controllers to achieve the required ITERs target Interlock Integrity Level of SIL-2. The solutions here facilitate the integration with ITER instrumentation and control system, also establishing reference models for other large-scale control system platforms.
Transformer equipment fault detection based on multiple machine learning algorithms
Authors: Ning Zhongping
Published: May 2024

Transformer is an indispensable equipment in the power system, and its normal operation plays a vital role in the stable operation of the power system and power quality. However, due to the complexity of the working environment of the transformer, its internal structure is also more complex, so the transformer failure frequency is higher. Therefore, timely detection and early warning of transformer failure is of great importance. In this paper, a machine learning algorithm is introduced to automatically discover the laws and patterns in the data by learning and analysing a large amount of data, and use these laws and patterns to make predictions and decisions. In this paper, the winding temperature indicator, oil temperature indicator alarm, oil temperature indicator trip and magnetic oil level indicator are taken as the target variables, and the current and voltage parameters are taken as the input variables, and the dataset is divided into training set, validation set and test set according to the ratio of 6:2: 2. The dataset is divided into training set, validation set and test set, and 12 kinds of machine learning models are introduced to predict the winding temperature indicator, the oil temperature indicator alarm, the oil temperature indicator trip, and the magnetic oil level indicator, respectively. indicator alarm, oil temperature indicator trip, and magnetic oil level indicator values, respectively, to observe the operating status of the transformer in real time by predicting the transformer state parameters. The results show that the machine learning model has high application value in transformer condition monitoring. Through the input of current and voltage parameters, the machine learning model can accurately predict and monitor the important indicators of the transformer, and discover the abnormal state of the transformer in time, so as to ensure the safe operation of the transformer. In the prediction of winding temperature, oil temperature and oil temperature indicator tripping, the prediction accuracy of the 12 machine learning models reaches more than 85%, and the prediction accuracy of some models even reaches 100%. For magnetic oil level prediction, the prediction accuracy of the 12 machine learning models is more than 90%. These results show that the machine learning models have high accuracy and stability and can provide reliable technical support for transformer fault detection. In summary, machine learning algorithms have high application value in transformer fault detection, which can automatically discover the laws and patterns in the data by learning and analysing a large amount of data, and use these laws and patterns to make predictions and decisions.
Voice modulation design implemented through FPGA and MATLAB
Authors: Zhang Yan , Li Zhipeng
Published: May 2024

With the rapid development of network technology, there has been an increased demand for real-time signal processing, particularly in the processing speeds of audio and video signals. This paper designs a program for human voice pitch transformation, applied to FPGA hardware, leveraging FPGAs rapid processing filters to achieve real-time voice pitch transformation. In the FPGA program design process, by studying and applying FRM filter design algorithms, the amount of computational data is reduced, thereby enhancing processing speed. Finally, numerical simulation is implemented based on Matlab to verify the feasibility of the program. This provides an approach for the intelligent real-time processing of audio signals.
Navigating urban complexity: The role of GIS in spatial planning and urban development
Authors: Chen Limeng , Li Jiaxin , Xu Minzhen , Xing Wei
Published: May 2024

This paper explores the transformative impact of Geographic Information Systems (GIS) in urban planning and architecture. It delves into various applications of GIS, including urban layout and design, traffic flow management, environmental impact assessments, infrastructure and utility management, and historical and cultural preservation. The challenges of implementing GIS, such as data accuracy, interoperability, and the need for specialized training, are examined. Additionally, the paper discusses the future of GIS in urban development, highlighting technological advancements, integration with smart city concepts, and the importance of policy and governance. Through comprehensive analysis, this study underscores the significance of GIS as a pivotal tool in creating sustainable, efficient, and resilient urban spaces
Numerical simulation of forced ventilation fire suppression for wing leading edge pool fires
Authors: Wu Shaoqiang , Bai Jie
Published: May 2024

In order to meet the requirements of the flammable liquid fire prevention regulations under AC25-863, which stipulates that in the event of ignition, the ignition and its harm of leaked flammable liquids should be minimized, this study investigates the impact on the aircraft structure and the suppression process of wing leading edge pool fires of flammable liquid leakage under forced ventilation fire suppression. Geometric modeling of the wing leading edge in the flammable liquid leakage area is performed, and the burning conditions of the flame under different conditions are simulated. The heat release rate per unit area of the pool fire surface is set to 396.67 kW/m, with ventilation speeds ranging from 0 to 3.1 m/s. Through the analysis of simulation charts and data, it is observed that as the forced ventilation rate increases, the pool fire gradually tends towards a trend of suppression
The effect of compilation on residents' well-being
Authors: Yan Jiayu
Published: May 2024

The key to the door of happiness is a hot issue that happiness economics researchers have been working on in recent years. However, most studies neglect the role of the establishment, an employment system with Chinese characteristics, in the formation of residents well-being. Based on the 2018 Chinese family tracking survey data, this paper identifies the compiled happiness siege effect and examines the related mechanisms. The results show that after controlling a series of characteristic variables, such as individual and family, compilation has a significant effect on residents well-being. Further analysis shows that there are significant differences in this effect due to individual characteristics, the effect of happiness encirclement is more prominent in female residents, middle-aged residents and urban residents than in male residents, young residents and rural residents. The article explains the determinants of residents happiness from the perspective of the establishment, it provides a new angle of view to understand the long-standing Establishment fever in Chinas employment market and the phenomenon that Establishment fever presents different characteristics in different groups.
Probabilistic prediction models of pounding between adjacent buildings during seismic
Authors: Xu Ziqi
Published: May 2024

In recent years, many researchers have studied the probability of collisions between adjacent buildings under earthquake action and proposed some prediction methods, but their accuracy still needs to be improved. This study adopts a machine learning method based on logistic regression models to propose a probability prediction model for adjacent building collisions during earthquake processes. The main content of this study includes: 1. A logistic regression model was used to analysis the factors affecting the seismic impact of adjacent buildings, and an impact prediction model was established; 2. Verify the effectiveness of the logistic regression model through comparative probability analysis.
Research on real-time monitoring methods for intelligent tower base health based on machine vision systems
Authors: Zhu Yun
Published: May 2024

This article introduces an innovative real-time health monitoring method for the tower foundation a system based on machine vision technology. This system is committed to overcoming the issues associated with traditional manual inspection methods and the high cost and technical challenges faced by sensor-based online monitoring systems during implementation. We delve into the principles of stereo imaging technology, employing a tilt monitoring algorithm to accurately measure the relative tilt angle, and perform an evaluation of the tower foundations health status based on this tilt angle range. We believe this technology has the potential to revolutionize the field of real-time tower foundation health monitoring, offering a more flexible, accurate, and cost-effective solution.
Cemented and Press-fit Femoral Stems for the Management of Oncologic Femoral Tumors
Authors: Su Marie W. , Groot Oliver Q. , Werenski Joseph O. , Sodhi Alisha , Merchan Nelson , Anderson Megan E. , Heincelman Carrie , Chang Connie Y. , Lozano-Calderon Santiago A.
Published: May 2024

Background:

Stem fixation in reconstruction after resection of femoral tumors is debated. Cemented stems offer immediate stability but risk aseptic loosening, while press-fit stems allow bone ingrowth but risk stress shielding and subsidence. Our retrospective review aimed to determine implant failure rates and their associated factors, as well as the rates of infection, debridement, and mortality for both fixation groups (cemented or press-fit stems) used in patients undergoing resection of femoral tumor disease and subsequent arthroplasty.

Methods:

We retrospectively studied 252 patients who underwent resection of femoral tumors and subsequent arthroplasty using cemented (n = 173; 69%) or press-fit (noncemented) (n = 79; 31%) stems between 1999 and 2020. Implant failure was the primary outcome, with secondary outcomes including rates of implant infection, debridement, and mortality. Multivariable regression was done to assess risk factors for implant failures.

Results:

The study found implant failure rates of 11% and 18% for cemented stems and press-fit stems, respectively. Lower stem to diaphyseal ratios (P = 0.024) and younger patients (P = 0.008) were associated with a higher risk of implant failure in cemented stems. The infection rates were 14% and 10% for cemented and press-fit stems, respectively. Debridement rates were 16% and 13% for cemented and press-fit stems, respectively, while the 1-year mortality rate was 16% for cemented stems and 1.5% for press-fit stems.

Conclusions:

This study is the largest of its kind, providing patient characteristics and outcomes in both cemented and press-fit stems in the setting of reconstruction for femoral tumors. Both methods can be effective, with outcomes dependent on patient-specific factors, such as life expectancy, activity level, and body habitus, as well as proper implant fit. Additional studies of both implants and longer follow-up are required to elucidate the optimal fixation method for each individual patient.

Level of evidence:

Level III, retrospective noncomparative study.
Phát triển các doanh nghiệp nhỏ và vừa ở Bình Dương - hướng đến thúc đẩy tăng trưởng bao trùm trong các doanh nghiệp
Authors: Nguyễn Hồng Thu , Đào Quyết Thắng
Published: May 2024

Thuật ngữ tăng trưởng bao trùm đề cập đến việc bảo đảm rằng lợi ích được chia sẻ công bằng cho các nguồn lực, trong đó quan tâm đến việc bảo đảm lợi ích cho các nhóm đối tượng, nhất là các nhóm đối tượng yếu thế và dễ bị tổn thương. Tăng trưởng bao trùm trong các doanh nghiệp là việc bảo đảm cho các doanh nghiệp tiếp cận nguồn lực và hưởng lợi từ các thể chế pháp luật, chính sách phát triển một cách công bằng và hài hòa lợi ích, nhất là các doanh nghiệp dễ bị loại trừ trong quá trình phát triển. Bài nghiên cứu này được đặt giả thuyết rằng các doanh nghiệp nhỏ và vừa (SMEs) được tiếp cận nguồn lực một cách công bằng, bảo đảm sự tăng trưởng về việc làm, tăng trưởng về năng suất và phân phối kết quả tăng trưởng một cách hài hòa. Nghiên cứu tìm kiểm và khám phá ra rằng các SMEs ở Bình Dương sẽ phát triển hơn nếu tiếp cận tốt các nguồn lực, khả năng tăng trưởng việc làm, tăng trưởng năng suất và phân phối công bằng tăng trưởng xã hội.
Effect of lifestyle on nitric oxide and lipid profile in Type 2 diabetes mellitus patients
Authors: Gautam Shikha , Manisha Manisha , Akhter Perveen , Jain Vineet , Alam Md
Published: May 2024

Background: Sedentary lifestyle is among the forerunner causes of major non-communicable diseases, including cardiovascular disease, Type 2 diabetes, and diverse types of cancer, contributing substantially to the global burden of disease. There is a massive increase in the prevalence of Type 2 diabetes mellitus (DM) worldwide. Cardiovascular diseases, especially atherosclerosis, contribute significantly to diabetes related deaths.

Aims and Objectives: The present study was designed to compare the body mass index (BMI), nitric oxide (NO), and lipid profile in physically active and sedentary Type 2 DM patients.

Materials and Methods: The study included a total of 70 patients of Type 2 DM. The inclusion criteria were HbA1c ≥6.5%, age between 30 and 60 years, and a disease history of 5–10 years. The exclusion criteria were the presence of any other chronic/acute illness, patients having difficulty in walking, patients on any nitrate and nitrite drugs, patients on lipid-lowering drugs, history of alcohol, tobacco, or other substance abuse. Assessment of physical activity was done by International Physical Activity Questionnaire - long form. BMI, NO, and lipid profile were assessed for the two groups. Statistical analysis was carried out using GraphPad Prism 7.0. Groups of data were compared with an analysis of variance followed by the tukey test. A P < 0.05 was considered statistically significant.

Results: In the physically active group, BMI (P = 0.0345), total cholesterol (P < 0.0001), low-density lipoprotein (P < 0.001), and triglycerides (P < 0.001) were significantly less; while their high-density lipoprotein (P < 0.0001) and NO (P < 0.0001) was significantly more as compared to the sedentary group.

Conclusion: The conclusion of this study is that in patients of type 2 DM, a physically active lifestyle was associated with decreased cardiovascular risk.
Tuberculosis – still a diagnostic challenge
Authors: Barik Chinmoy , Das Siddhartha , Pal Sabuj
Published: May 2024

Before the COVID pandemic, tuberculosis (TB) was the leading cause of death among infectious diseases. As TB can affect different organs, diagnosis sometimes remains difficult. Here, we present a series of three cases where TB was detected in three different systems after a comprehensive workup. The first case was diagnosed as abdominal TB. She had prolonged fever, weight loss, pain abdomen, shortness of breath with mild ascites, jejunal thickening, and bilateral pleural effusion. The initial workup failed to establish a diagnosis. She was put for diagnostic laparoscopy which aided in diagnosis. The second case was confirmed as nasopharyngeal TB. The patient had recurrent upper respiratory symptoms but relevant investigations including imaging studies and nasal endoscopy were normal. Lung parenchyma was not involved. Nucleic acid amplification test confirmed the diagnosis. The third case was diagnosed as pulmonary TB which was detected only after repeated sputum test. The patient had a history of recurrent hemoptysis with weight loss with a cavitary lesion in the left lung. His consecutive three sputum samples were negative even by nucleic acid amplification test before being positive in the 4th time. Extensive workup and repeated test are required in suspected cases of TB to minimize false negative results.
Coronavirus disease appropriate behavior among medical representatives
Authors: Kunnor Nitin , K Lohit , Pandhare Priyanka , R Vidya , Fonseca Aman , Pathri Bhumika , Malipatil Hema
Published: May 2024

Background: The coronavirus disease 2019 (COVID-19) crisis has brought many appropriate changes in the behavior of the people in India. It posed deleterious effects on nearly every industry and business sector and pharmaceutical industry is no exception. Medical representatives were facing challenges in contacting health-care providers and other concerned individuals for sales efforts during the pandemic affecting their work behaviors and outputs. Therefore, it is highly important that MRs have adequate knowledge about the COVID-19 appropriate behaviors (CABs).

Aims and Objectives: The objective of our study was to assess the perception of COVID-19 appropriate behaviors (CAB), among medical representatives.

Materials and Methods: The study was conducted during lockdown for a period of 3 months from May to July 2021. After obtaining Institutional approval using the CAB, published by the Ministry of Health and Family Welfare, a questionnaire was designed and along with the consent form was sent to Medical Representatives to collect the information on CAB. Data from all consented voluntary participants using self-administered Google forms were collected. The data collected were reversibly coded and confidentiality of participants was maintained.

Results: A total of 88 number of medical representatives (n = 88) participated in the study. Of these, 96.50% were males and all were <50 years. Graduated participants constituted 96.6% (n = 85). Only 67.10% perceived it as a serious disease. Greeting without physical contact was practiced by 57 (64.7%), Namaste, by 56 (63.3%). Avoiding touching hands, nose, and mouth was considered very important by 68.9%. Covering nose and mouth when you cough or sneeze with handkerchief was considered important for 96.6%. Avoiding touching eyes, nose, and mouth was considered “not important at all” and slightly important by 2.2% and 5.6%, respectively. Discourage and avoiding crowd was thought as not important at all by 3.4% and slightly important by 2.3%.

Conclusion: The medical representatives are well informed about COVID-19 disease and it is spread but only 2/3rd of the participants regarded COVID-19 as a serious condition and practiced various CABs to prevent infection spread. They considered national news and doctors as the main source of information.
Malware Detection and Analysis Using Reverse Engineering
Authors: Muhammad Taseer Suleman
Published: May 2024

The pervasive and persistent nature of malware in the contemporary digital realm demands sophisticated methodologies for detection and analysis. Reverse engineering has emerged as a pivotal strategy in malware analysis, offering the means to unravel the intricate workings of malicious code. This research paper presents a comprehensive exploration of the role of reverse engineering in the domain of malware detection and analysis. It delves into the fundamental stages of the reverse engineering process, encompassing code disassembly, static analysis, and dynamic analysis. Additionally, reverse engineering facilitates meticulous analysis of malware, encompassing intricate examination of its structural attributes, operational mechanisms, and behavioral characteristics. However, the landscape of reverse engineering is not devoid of challenges. Malware authors employ sophisticated obfuscation techniques and antianalysis mechanisms to impede reverse engineering endeavors. These measures encompass code encryption, packing, anti-debugging, and anti-virtualzation strategies. By providing a comprehensive examination of the important role of reverse engineering in malware detection and analysis, this research paper will elucidate an extensive array of tools and methodologies.
ATUAÇÃO DO FONOAUDIOLOGO NA REABILITAÇÃO DE PACIENTE COM OTITE MÉDIA COLESTEATOMOSA
Authors: Barbosa Meire Jane Nepomuceno , Gomes Selma Cavalcante
Published: May 2024

A atuação do fonoaudiólogo em pacientes com otite média colesteatomosa é crucial para garantir uma abordagem abrangente no tratamento dessa condição. O fonoaudiólogo desempenha diversas funções-chave para auxiliar no manejo dos sintomas e na reabilitação do paciente. Este trabalho se propõe a investigar a atuação fonoaudiológica na reabilitação de pacientes com otite média colesteatomosa. A pesquisa emprega uma abordagem revisiva da literatura, utilizando fontes como Scielo – Scientific Electronic Library On Line, e Google Acadêmico com critérios rigorosos de inclusão e exclusão. Foram identificados e analisados 50 artigos que abordam a temática de reabilitação auditiva de pacientes com colesteatoma. Os resultados obtidos destacam a importância de uma avaliação auditiva abrangente e individualizada para determinar o impacto da cirurgia e identificar as necessidades específicas de reabilitação de cada paciente. Além disso, são discutidas diferentes abordagens terapêuticas, incluindo o uso de aparelhos auditivos, implantes cocleares e terapias fonoaudiológicas. A gravidade da perda auditiva e a extensão dos danos causados pelo colesteatoma são fatores cruciais na escolha da estratégia de reabilitação mais adequada. Este estudo contribui para a compreensão dos desafios enfrentados pelos pacientes após a remoção de colesteatoma e destaca a importância da intervenção da fonoaudiologia na melhoria da qualidade de vida auditiva desses indivíduos.
Global Success of Netflix with Korean Contents
Authors: Kuo Chiu-Wen
Published: May 2024

The Korean Wave has been present in Taiwan for over 20 years, permeating various sectors including dramas, K-POP, movies, Korean cuisine, video games, fashion, and cosmetics. Its influence is not just limited to Asia; Korean content products are now recognized globally. Previously, the success of Korean content in European and American markets was facilitated by concerted efforts from both the industry and the government. However, in recent years, particularly during the pandemic, the robust involvement of the streaming platform Netflix, exemplified by the global sensation Squid Game, has intensified the world's fascination with Korea. Netflix serves as an optimal tool for the dissemination of film and media culture. While Netflix's support has undoubtedly been beneficial for Korea, it has also raised concerns regarding their investment strategies and the challenges they pose to Korea, such as intellectual property (IP) issues, monopolistic control over broadcasting rights, localization strategies, diversification of production formats, revenue sharing with telecommunication operators, and the survival of domestic over-the-top (OTT) media service platforms. In response, both the industry and government have initiated measures such as government subsidies for OTTs, tax reductions, levies on Netflix's use of the internet, standardized contracts, and the active cultivation of creative talent. Additionally, industry efforts include mergers, fostering alliances to expand capital, and ensuring the production and circulation of quality content. This paper will comprehensively organize and analyze data from official Korean sources, academic papers, and field studies conducted by the author, to explore the competitive and cooperative issues between Korean OTT platforms and Netflix, and to identify viable responses. The analysis will cover three main aspects: (a) Netflix's investments in Korea and the challenges they present to the country; (b) the Korean government's response policies; and (c) the current situation and potential improvements for local Korean OTT platforms.
PENERAPAN DASHBOARD SYSTEM PENDAPATAN ASLI DAERAH (PAD) SEKTOR PARIWISATA PADA KABUPATEN MOJOKERTO MENGGUNAKAN TABLEAU
Authors: Hindrayani Kartika Maulida , Riyantoko Prismahardi Aji , Fahrudin Tresna Maulana
Published: May 2024

Covid-19 has had an impact on the tourism sector, this is reflected in the Regional Original Income data. Data has a major role in helping to clearly understand trends and societal needs. Data needs to be converted into information for decision making and strategic planning. Business Intelligence is a technique for applying the use of data to support stakeholders in making decisions. Tableau is the tool used in this research. The results show data on popular and less popular tourism objects and then the importance of recording data in order to provide a valid picture and make the right decisions.
Smart Home Automation System Using Wi-Fi
Authors: Jha Aditya Kumar
Published: May 2024

The concept of a "smart home" is rapidly gaining popularity among homeowners worldwide, and it's all thanks to the integration of WiFi connectivity. Smart home automation systems driven by WiFi offer exciting new possibilities for enhancing our living spaces, from increased comfort and convenience to greater energy efficiency and sustainability. By leveraging the power of WiFi, smart home automation systems enable us to remotely monitor and manage various aspects of our homes using smartphones, tablets, or other internet-enabled devices. Plus, these systems are designed to seamlessly communicate and integrate across different manufacturers and platforms, making it easier than ever to customize your living space to suit your needs. But the benefits of smart home automation systems go beyond mere convenience. They also have the potential to significantly reduce our energy consumption, minimize waste, and contribute to a more sustainable future. At the same time, integrated sensors, cameras, and motion detectors can enhance our home security and safety, providing peace of mind and mitigating risks associated with burglary, fire, or other hazards. Ofcourse, there are some challenges and considerations to keep in mind when it comes to WiFi-enabled smart home automation systems. Privacy and data security are top concerns, and interoperability and compatibility issues must be addressed to ensure that these systems remain flexible and adaptable to the evolving needs and preferences of homeowners. Additionally, user-friendly interfaces and intuitive design principles are essential for ensuring a positive and enjoyable experience. In this research paper, we aim to explore the transformative potential of WiFi-enabled smart home automation systems and provide constructive insights into how we can overcome the challenges and considerations associated with this technology. By shedding light on the opportunities, challenges, and best practices associated with these systems, we hope to empower homeowners, policymakers, and industry stakeholders alike to make informed decisions that enhance the quality of life while safeguarding privacy, security, and sustainability.
A importância da gestão de custos em uma empresa de serviços financeiros: um estudo de caso na nn gestão financeira
Authors: Maia Yunare Zacarias Bezerra , Barroso João Victor de Lima , Pereira Lucian Hendyo Max , Oliveira Charles Miller de Góis , Silva Kennedy Paiva da , Silva Taynara Milene da , Oliveira Jordan Medeiros de , Silva Sara Maia e , Lira Samella Mirellys Carlos de , Santos Alcynara Nogueira dos , Silva Henrique Barbosa da , Oliveira José Irailson Gama , Freire Judson Andrade
Published: May 2024

A importância da gestão de custos em uma empresa de serviços financeiros é amplamente reconhecida como um fator crucial para o sucesso e sustentabilidade do negócio. Este estudo tem como objetivo analisar a importância da gestão de custos na NN Gestão Financeira, uma empresa de serviços financeiros, identificando suas práticas de gestão de custos, avaliando seus impactos na eficiência operacional e financeira e propondo estratégias para aprimorar a gestão de custos e otimizar os resultados. Para atingir esse objetivo, foi realizada uma revisão bibliográfica dos conceitos e fundamentos da gestão de custos, assim como das metodologias e técnicas aplicáveis a empresas de serviços financeiros. Em seguida, foram coletados dados por meio de questionários e entrevistas com os gestores da NN Gestão Financeira, a fim de identificar as práticas atuais de gestão de custos. Os resultados revelaram que a correta mensuração e alocação dos custos têm um impacto direto na eficiência operacional e financeira da empresa. Uma gestão eficiente de custos permite identificar oportunidades de otimização de recursos, reduzir custos desnecessários e alocar eficientemente os recursos disponíveis. Além disso, a análise dos indicadores financeiros mostrou que a gestão de custos influencia diretamente a rentabilidade da empresa. Com base nos resultados, foram propostas estratégias para aprimorar a gestão de custos na NN Gestão Financeira, visando otimizar a eficiência operacional e financeira da empresa.
Uso de nanopartículas de zinco e prata associadas a aminoácidos em sementes de soja
Authors: Ramos Thomas Oehninger , Santos Reginaldo Ferreira , Santos Noe Barroso dos , Zitha Agostinho Rodrigues , Tokura Luciene Kazue
Published: May 2024

A soja é uma cultura de elevada importância mundial econômica devido sua significativa participação na alimentação animal e humana e produção de biocombustível. Frente aos desafios atuais da agricultura a adoção de novas tecnologias em especial de biofertilizantes a base de aminoácidos e nanotecnologia, tem sido estudado como uma alternativa viável ao uso de agroquímicos e fertilizantes, mais eficiente do ponto de vista agronômico e ecológico. O objetivo deste estudo foi avaliar o efeito do uso de diferentes doses nanopartículas de zinco, prata e bioestimulante experimentais em tratamento de sementes durante a fase vegetativa, reprodutiva e maturação. O experimento foi realizado na área experimental da AGROTEC, colônia nova, Corbelia, PR na safra 2023/2024. O trabalho envolveu a avaliação do uso de diferentes doses de nanopartículas associadas a aminoácidos. Os resultados demonstraram que as doses de nanopartículas tiveram apenas efeito significativo no incremento de população de plantas e altura quando nanopartículas de zinco ou prata foram associadas a aminoácidos.
Projeto trandisciplinar: uma proposta metodológica para construção de competências com profissionais da saúde e da educação
Authors: Alves Eleneide Menezes , Nogueira Romildo de Albuquerque
Published: May 2024

O sistema educacional brasileiro, apesar dos esforços do MEC, continua estruturado a partir de conteúdos ministrados de forma fragmentada e descontextualizada. Uma possibilidade de mudar essa realidade, seria promover atividades voltadas ao desenvolvimento de uma visão sistêmica aplicada à sala de aula. Conforme delineado nos PCN (Parâmetros Curriculares Nacionais) e nas OCEM (Orientações Curriculares para o Ensino Médio), um dos principais desafios enfrentados pela educação está na reconciliação entre o modelo institucional de ensino preconizado pelos PCN e a prática efetiva dos educadores. Os PCN enfatizam a importância de repensar o papel da educação, visando não apenas a transmissão de conhecimento, mas também o desenvolvimento de uma nova perspectiva sobre aprendizagem, preparando os alunos para enfrentar as demandas em constante evolução da sociedade. Neste trabalho propomos uma metodologia inovadora para desenvolver o tema transversal saúde, sugerido nos PCN (Parâmetros Curriculares Nacionais), a partir da colaboração de profissionais da área de Educação em parceria com profissionais da Saúde, com o objetivo de desenvolver competências docentes necessárias para implementar em sala de aula um projeto transdisciplinar. Foram realizadas, com os profissionais participantes do projeto, discussões transdisciplinares sobre educação e saúde tomando como tema central o DM (Diabetes Mellitus), em seguida o projeto foi aplicado e as competências desenvolvidas pelos sujeitos participantes analisadas.
Ensino de Química aplicada à saúde: Desenvolvimento de um projeto com a perspectiva transdisciplinar envolvendo o tema Diabetes Mellitus e o metabolismo dos carboidratos
Authors: Alves Eleneide Menezes , Fenner Roniere dos Santos , Nogueira Romildo de Albuquerque
Published: May 2024

O presente artigo é fruto de uma pesquisa, realizada com professores de diferentes disciplinas, na cidade de Petrolina-PE. O objetivo principal é abordar o ensino da química, através da execução de projetos de escopo transdisciplinar no ensino médio. Escolhemos a temática Diabetes Mellitus, considerando principalmente a relação entre essa síndrome e a química dos alimentos. A metodologia escolhida permitiu auxiliar os professores com os aportes teóricos necessários para a implementação de projetos trandisciplinarres. Para a compreensãoe aplicação da trandisciplinaridade na educaçção, é necessário reconhecer a importância das competências pedagógicas voltadas para lidar com os temas abordados sob essa perspectiva.  A observação dos respectivos projetos nas salas de aula permitiu constatar as mudanças didático-pedagógicas dos professores, tomando como parâmetro a descrição de competências, previamente elaboradas, necessárias para implementar projetos transdisciplinares. Com isso foi possível interpretar as opiniões dos docentes no decorrer do projeto. Constata-se, finalmente, que práticas voltadas para a transdisciplinaridade revelam-se instrumentos didáticos que proporcionam uma eficiente avaliação de caráter qualitativo, além de amparar o ensino e aprendizagem de química através da alteração de postura dos professores envolvidos.
Processo criacional do guia eletrônico para o acolhimento da população LGBTQIAP+ na Atenção Primária à Saúde
Authors: Souto Cláudia Germana Virgínio de , Ferreira Maria das Graças Nogueira , Santos Anderson Felix dos , Araújo Rafaela Carla Carneiros de , Silva Daiane Medeiros da , Almeida Sandra Aparecida de , Nogueira Waléria Bastos de Andrade Gomes , Trigueiro Débora Raquel Soares Guedes
Published: May 2024

A assistência em saúde para o grupo LGBT no Brasil é discutida amplamente, mas muitos profissionais de saúde não estão capacitados para garantir a equidade do SUS. Buscou-se analisar o acolhimento da população LGBT sob a ótica dos usuários da Atenção Primária à Saúde (APS) e construir um guia eletrônico sobre o acolhimento da população LGBT para a APS. Trata-se de um estudo com abordagem qualitativa que utiliza combinações dos tipos de pesquisa descritiva e metodológica. Os dados coletados foram transcritos e conformados em cinco categorias temáticas: necessidade de profissionais; necessidade de atendimento adequado; rejeição dos profissionais que precisam de capacitação; necessidade de integralidade; e consideração da população LGBT. O guia foi criado com base na análise das falas, apresentando três telas principais: introdução, cadastro do usuário e um menu com sete ícones. Esses ícones oferecem: terminologias LGBT, centros de apoio, leis e portarias, dicas de acolhimento, materiais complementares, calendário de eventos e contatos para denúncias. Espera-se que, com a identificação e alerta para as necessidades da população LGBT e o uso do aplicativo, os profissionais e usuários se empoderem de conhecimentos e ações assertivas.
Geopricing e Geoblocking como práticas abusivas nas relações de consumo no meio digital
Authors: Monteiro Gleidson Ferreira , Alves Fabrício Germano
Published: May 2024

Com o avanço tecnológico e a evolução da sociedade virtual de consumo surgem novas práticas abusivas que tornam o consumidor cada vez mais vulnerável, nesse cenário duas práticas de forma perigosa: geoprincing e geoblocking. A problemática em questão se relaciona a utilização desses artifícios pelos fornecedores como forma de alavancar suas vendas, ferindo desenfreadamente a segurança e a liberdade de consumo no prisma digital. Objetiva-se verificar até que ponto essas práticas são consideradas legais e de que forma estão sendo reguladas no sistema jurídico brasileiro. Utiliza-se como método uma pesquisa aplicada, baseada em bibliografias e analise de caso prático. Conclui-se que essas práticas estão se tornando cada vez mais comuns contribuindo negativamente nas relações consumeristas. Uma vez que o próprio judiciário já declarou por meio de julgados que a utilização de forma inadequada desses mecanismos torna ilícita o seu uso devendo ser aplicado o Código de Defesa do Consumidor. Por esse motivo urge a necessidade de estuda-las a fim de garantir que a sociedade compreenda a importância do tema e possam desfrutar de uma relação de consumo juridicamente equilibrada para ambas as partes.
Análise dos conteúdos programáticos do componente curricular de urgência e emergência do curso de graduação da escola de enfermagem da UFBA
Authors: Peixoto Jaqueline Jesus de Andrade , Almeida Terezinha Andrade , Lobão William Mendes , Sanches Valdenisia Tadeu Bispo , Martins Marília de Jesus Silva , Schramm Quele Barros , Silva Gilberto Tadeu Reis da
Published: May 2024

Introdução: A educação é um processo dinâmico com troca de informações e permite que o discente possa elaborar aprendizados, adequando-os a sua estrutura intelectual e ao momento histórico que está inserido. Objetivo: Comparar as ementas identificando as implementações realizadas frente aos conteúdos programáticos do componente curricular de urgência e emergência do curso de graduação da EEUFBA no período de 2009 a 2023. Método: Trata-se de um estudo retrospectivo e descritivo, de natureza qualitativa, do tipo documental referente à análise curricular do componente de urgência e emergência da Escola de Enfermagem da Universidade Federal da Bahia (EEUFBA) no período de 2009 a 2023. Resultados: Foram avaliadas 4 ementas entre os anos de 2009 e 2023, categorizadas quanto aos cuidados de enfermagem na urgência e emergência no contexto hospitalar e cuidados de enfermagem na urgência e emergência na Atenção Básica. Considerações finais: Ao analisar as ementas da disciplina de urgência e emergência da EEUFBA, podemos perceber a sua complexidade e a sua constante evolução. A integridade acadêmica e a promoção de uma conduta ética devem ser prioridades na concepção e implementação dos cursos. Além disso, o suporte contínuo aos discentes, a disponibilidade de recursos adequados e a formação adequada dos educadores são fundamentais para garantir o sucesso do ensino de urgência e emergência.
Modelagem matemática e computacional de um medidor de umidade de grãos considerando o efeito da porosidade da deposição dos grãos
Authors: Antunes Marcelo Carvalho , Binelo Manuel Osório , Binelo Marcia de Fatima Brondani , Silva José Antonio Gonzalez da
Published: May 2024

A atividade agrícola é responsável pela criação e manutenção de um expressivo número de postos de trabalho, contribuindo diretamente para a organicidade da economia em muitos países. Fatores como o crescimento populacional e o incremento de renda em diversas regiões acenam para o aumento da produção de grãos, justificando a produção de pesquisa científica e novas tecnologias, via de regra, dependentes de políticas públicas efetivas. A verificação dos níveis de umidade em grãos desempenha um papel crucial no contexto da atividade agrícola. Qualquer tipo de insuficiência em um sistema de aferição de umidade em grãos causará implicações na cadeia produtiva, pois seu valor econômico sofre influência direta dos teores de umidade. O objetivo deste trabalho concentra-se na realização da modelagem matemática e computacional para um medidor de umidade de grãos, levando em consideração a influência da variação da porosidade nos parâmetros elétricos de tensão e frequência. Para isto, o percurso metodológico se deu a partir de um experimento com grãos de soja e milho, em um aparelho protótipo capaz de registrar variação de medidas elétricas em função do teor de umidade. As ferramentas de análise, nesta etapa, foram a Regressão Linear Múltipla (RLM) e as Redes Neurais Artificiais (RNA). Em uma etapa posterior, ocorreu uma simulação que analisou a acomodação de grãos de soja e milho em um recipiente, o que possibilitou calcular a porosidade. Nesta etapa, foi utilizado o Método dos Elementos Discretos (MED), que serviu de suporte para o emprego de modelos capazes de aproximar a geometria das partículas. Como resultados, foi verificada a superioridade do método baseado em RNA na predição da umidade. Sobre a investigação acerca da acomodação dos grãos, foram observadas variações nos índices de porosidade em consonância com as medições elétricas, indicando uma possível correlação entre esses fenômenos o conteúdo do estudo.