bluuebunny/crossref_metadata_2025 huggingface dataset:
Role of Information Technology Infrastructure on Adoption of Electronic Procurement in State Corporations in Kenya
Authors: Moses Kabiru Mugwe
Published: May 2023

The aim of this study was to assess the role played by information technology infrastructure in enhancing the adoption of electronic procurement in state corporations in Kenya. The study focused on ICT software infrastructure and hardware infrastructure. Using a descriptive research approach, the study surveyed 187 procurement managers from the 187 state corporations in Kenya. A structure questionnaire was used to collect the data which was analyzed using descriptive and inferential statistics. The findings revealed that ICT infrastructure was essential in enhancing the adoption of electronic procurement in state corporations. It was revealed that through the ICT software infrastructure such as the operating systems, it becomes viable to integrate procurement functions in the systems. ICT hardware on the other hand promotes the use of procurement systems thus enabling embrace of electronic procurement. The study recommended the need for the government to support the state corporations in integrating and adopting electronic procurement through funding them to acquire the appropriate ICT hardware and software infrastructure that is essential for the integration of e-procurement.
Quyết định sử dụng dịch vụ tư vấn đầu tư chứng khoán: bằng chứng thực nghiệm tại thành phố Hồ Chí Minh
Authors: Nguyễn Thị Ngọc Loan , Nguyễn Thị Mỹ Linh , Phan Chung Thủy
Published: May 2023

Nghiên cứu này xem xét sự ảnh hưởng của hiểu biết tài chính và niềm tin vào tư vấn tài chính đến quyết định sử dụng dịch vụ tư vấn đầu tư chứng khoán của nhà đầu tư cá nhân. Dựa trên cuộc khảo sát trực tuyến 255 nhà đầu tư chứng khoán tại thành phố Hồ Chí Minh từ tháng 1 đến tháng 3 năm 2022, bằng kỹ thuật phân tích hồi qui Probit, chúng tôi nhận thấy hiểu biết tài chính và niềm tin vào tư vấn tài chính đóng vai trò quan trọng đối với quyết định sử dụng dịch vụ tư vấn đầu tư chứng khoán. Hơn nữa, ảnh hưởng này dường như mạnh mẽ hơn sau khi kiểm soát thêm các yếu tố mức chấp nhận rủi ro, kinh nghiệm đầu tư, tần suất giao dịch và nhân khẩu học. Kết quả này là cơ sở để chúng tôi đề xuất các khuyến nghị đối với các nhà hoạch định chính sách và tư vấn tài chính góp phần phát triển thị trường chứng khoán nói chung và thị trường dịch vụ tư vấn đầu tư chứng khoán nói riêng tại thành phố Hồ Chí Minh.
Prospects for the use of artificial intelligence and machine learning algorithms for effective resolution of civil disputes
Authors: Turkanova Vladyslava
Published: May 2023

The article examines the main direction of the modern model’s formation of justice in Ukraine regarding sustainable development, the need to support and develop strong and peaceful institutions, and adaptation of Ukrainian legislation to EU law. Based on the analysis of existing approaches, the use of artificial intelligence for the development of tools that analyse large data sets of the Unified the State Register of Court Decisions to identify stable regularities in the judicial system’s functioning will be possible through the development of systems and assessment of risks to achieve the desired outcome of civil cases, increase the percentage of funds awarded, ensure the effective use of public funds for the maintenance of the judiciary in the state, and promote its growth equally across levels in society. The study showed that it is necessary to determine the indicators of the justice system’s efficient functioning and the main factors affecting their efficient consideration of civil cases by the court, as well as the reasons for the risk of excessive length in court proceedings, non-enforcement of court decisions, and high court costs. The findings show that it is necessary to develop a catalogue of information from the analysed cases by taking into account the legal proceedings’ administrative performance indicators in civil cases, as well as the identification of their main and significant factors affecting the effectiveness of legal proceedings and the derivation of quantitative and effective indicators.
Decision Support System for SmartPhone Selection with AHP-VIKOR Method Recommendations
Authors: Akmaludin Akmaludin , Suriyanto Adhi Dharma , Iriadi Nandang , Santoso Budi , Sukendar Toni
Published: May 2023

Produce products that have various features and diverse functions, which are able to provide convenience with the reliability of their features and functions. The advantages possessed by SmartPhone become more confident for users to assess the level of product intelligence, the more trustworthy. The purpose of this research is to provide additional knowledge on the selection of SmartPhone to the user in having a product with various benefits. The more criteria that become a barometer, the more difficult it is to choose a product in the form of a SmartPhone. Thus, the right method is needed to perform the selection of the SmartPhone. There are several methods offered to carry out the selection process for SmartPhones, namely the Analytic Hierarchy Process (AHP) method combined with the VIKOR elimination method. Both of these methods are very supportive in the selection process with many types of criteria and their meanings against these criteria. A number of criteria that serve as a barometer for selecting object-based applications are Operating System, Processor, Internal Memory, External Memory, Back Camera, Front Camera, Battery, Cassing Model, Screen Size, Wight and Price. Of the eleven criteria have two different characteristics of understanding. The results of this study can be seen explicitly on the selection of SmartPhones through the acquisition of the smallest Qi index with the three highest ratings, namely the first ranked Samsung Galaxy A3 (0.00) the second is the Xiaomi Mi 4C with an index of 0.19, the third is the Lenovo Vibe K5 Plus with index 0.31. Thus it can be said that the collaboration of the AHP and VIKOR Elimination methods is able to provide optimal decision-making support.
Short Circuit Failure Detection in Induction Motor Using Wavelet Transform and Fuzzy C-Means
Authors: Saputra Pressa Perdana Surya , Firmansyah Rifqi
Published: May 2023

Induction motors need to be monitored regularly because it involves the company's productivity. The induction motor monitoring method in this study uses a motor current variable which is transformed using the Discrete Wavelet Transform. Discrete Wavelet Transform (DWT) is used in this study because the results are satisfactory for detecting a short circuit in the stator winding of an induction motor. Of the many types and levels of discrete wavelet transforms, the haar wavelet transform at the third level is used in this study. Furthermore, the results of the discrete wavelet transform are processed using the Fuzzy C-means method. Fuzzy C-Mean (FCM) is the grouping approach that each part has a member degree of cluster according to the fuzzy logic algorithm. Motor modeling is shown in this article as normal condition, final fault current, and initial fault current. For this analysis, a combination of wavelet transform and Fuzzy C-means is used to classify motor currents into three motor states. The motor current is processed by Haar DWT level 3 to generate a high frequency signal. Then the high frequency signal is processed to get the energy signal. The energy signal is then fed to Fuzzy C-means to identify its condition. The results show that fuzzy C-means produces an error of 0% for the normal case, 33.3% for the initial error case and 0% for the final error case.
Comparison of Accuracy in Detecting Tomato Leaf Disease with GoogleNet VS EfficientNetB3
Authors: Saputra Adi Dwifana , Hindarto Djarot , Rahman Ben , Santoso Handri
Published: May 2023

Tomato diseases vary greatly, one of which is tomato leaf disease. Some variants of leaf diseases include late blight, septoria leaf, yellow leaf curl virus, bacteria, mosaic virus, leaf fungus, two-spotted spider mite, and powdery mildew. By knowing the disease on tomato leaves, you can find medicine for the disease. So that it can increase the production of tomatoes with good quality and a lot of quantity. The problem that often occurs is that farmers cannot determine the disease in plants, they try to find suitable herbal medicines for their plants. After being given the drug, many plants actually died due to the pesticides given to the tomato plants. This is detrimental to tomato farmers. This problem is caused by incorrect disease detection. Therefore, this study aims to solve the problem of disease detection in tomato plants, in a more specific case, namely tomato leaves. Detection in this study uses a deep learning algorithm that uses a Convolutional Neural Network, specifically GoogleNet and EfficientNetB3. The dataset used comes from kaggle and google image. Both data sets have been pre-processed to match the data set class. Image preprocessing is performed to produce appropriate image datasets and improve performance accuracy. The dataset is trained to get the model. The training using GoogleNet resulted in an accuracy of 98.10%, loss of 0.0602 and using EfficientNetB3 resulted in an accuracy of 99.94%, loss: 0.1966.
Design of IoT-Based Tomato Plant Growth Monitoring System in The Yard
Authors: Marcheriz Isnan Nugraha , Fitriani Endah
Published: May 2023

The development of tomato plants to produce good fruit cannot be separated from environmental factors that affect their growth and development of tomato plants. These factors include soil moisture, soil pH, temperature, or the amount of light received by tomato plants. The need for water in tomato plants is also very important for their continued growth. Monitoring the development of tomato plants in home gardens based on IoT (Internet of Things) is a monitoring system that utilizes IoT technology to collect, transmit, and analyze data about tomato plants in real-time. In this system, sensors connected to the internet network will be installed on tomato plants to measure several parameters such as soil moisture, air temperature, light intensity, and soil nutrient / pH levels in plants. The collected data will be sent to an IoT platform that will be able to analyze the data. The results of the analysis will be used to make decisions regarding plant care, such as providing water or nutrients that the plants need to grow properly. With cameras to monitor the physical development of the plants, plant height, and fruit development. With this system, communities and farmers can grow tomato plants and can monitor and control plant conditions in real-time through smartphone applications. By utilizing IoT technology, monitoring the development of tomato plants becomes more efficient and accurate. Communities and farmers can take preventive measures to avoid plant disorders and diseases before it's too late, to increase the production and quality of crops.
Application Of The C4.5 Algorithm to Determine Security Guard Work Schedules
Authors: Sintawati Ita Dewi , Widiarina Widiarina , Mariskhana Kartika
Published: May 2023

All agencies, companies, and public spaces must employ security guards to maintain security. The problem with the security guard's schedule is that there is an imbalance in disciplinary issues, poor performance because there is no seniority that is emulated so that the guard is not optimal which results in the problem of losing employee items, working time is not according to the rules and there is a vacancy in personnel due to personnel not coming to work, suing With the existence of a policy in the placement and distribution of the right employee work schedule, it is hoped that it can synergize all elements in the institution so that the quantity and quality of the security guard's work can increase and be completed on time. One of the techniques in data mining is classification. By applying classification techniques to security guard data and work schedules, the Decision Tree method and C4.5 algorithm are developed. The results of data processing form the root node of the gender tree as the root, that those who get schedule A are men while those who get schedule B with high school and junior level education are women, besides that they get schedule A. The accuracy of all classifications of the correct number is 61, 53%.
Analysis of Visitor Satisfaction Levels Using the K-Nearest Neighbor Method
Authors: Violita Putri , Yanris Gomal Juni , Hasibuan Mila Nirmala Sari
Published: May 2023

Visitors are people who come to a place, entertainment, shopping, and tourism. Visitors are one of the important factors for the progress and development of a place. With visitors, an entertainment, tourism and shopping area can progress and develop. Therefore researchers will make a study of the level of visitor satisfaction. This research aims to improve the quality of an entertainment venue, shopping and increase the quantity of visitors. This research was conducted using the K-Nearest Neighbor method. The K-Nearest Neighbor method is a classification method based on training data (dataset). The data used by researchers is 45 visitor data. The classification carried out using the K-Nearest Neighbor method aims to classify data of satisfied visitors and dissatisfied visitors at an entertainment or tourism place. In using the K-Nearest Neighbor method, the first stage is selecting sample data, the data to be selected, then preprocessing, then designing the widget with the K-Nearest Neighbor method and finally testing data mining using the K-Nearest Neighbor method. The K-Nearest Neighbor Method. This visitor data was obtained by researchers through a questionnaire and the results of the questionnaire that 41 visitors were satisfied. After classifying visitor data using the K-Nearest Neighbor method, the classification results were 41 satisfied visitors. The conclusion is that many visitors are satisfied.
Application of the K-Means Clustering Agorithm to Group Train Passengers in Labuhanbatu
Authors: Indah Indri Cahaya , Sari Mila Nirmala , Dar Muhammad Halmi
Published: May 2023

Transportation is an activity of moving things such as humans, animals, plants and goods from one place to another. To be able to implement transportation, we need a means of transportation that suits our needs. For in Indonesia, people are more inclined to land transportation. That's because land transportation already has a lot of vehicles. Land transportation already has many vehicles that can be used, both for private and for the public. Each vehicle has its uses and risks as well. Therefore we will do a data cluster from the trains. We chose the train, because the risk from using the train is very small, meaning that there is a lot of public interest in trains. So we want to do a cluster on rail passengers. The cluster that we do is to group passenger data based on the similarity of passenger data. We will do the cluster using the K-Means method. The K-Means method is very suitable when used to perform a cluster. K-Means will process widgets that are made according to the needs of the research. So after we enter the method in the widget pattern, the widget will process it to output the results from the cluster that we created. The cluster process using the K-Means method will be applied using the orange application. After we apply it, the data will later be clustered, we will cluster data as many as 3 clusters. Then the incoming data will appear in clusters 1, 2 and 3, both from business and executive classes
Analysis of the SVM Method to Determine the Level of Online Shopping Satisfaction in the Community
Authors: Mawaddah Arini , Dar Muhammad Halmi , Yanris Gomal Juni
Published: May 2023

Online shopping is an activity of buying goods done online (virtual). This online shopping process is done because it doesn't waste a lot of time. With online shopping, it is very easy for people. Just need open mobile phone view and select the desired item and then order goods and goods will be delivered to the house. But online shopping sometimes also has drawbacks which are one of the reasons people don't want to shop online, such as long shipping times, expensive shipping costs. Therefore a study was made about the level of public satisfaction in online shopping. Researchers will make a data classification about the level of public satisfaction in online shopping using the SVM method. This study aims to see the level of public satisfaction with online shopping, many or nope satisfied people when shopping online. The first step is to collect data that will be used in the data mining process. After that, data preprocessing will be carried out planning the design of the SVM method and finally the prediction process to get Classification results. Then the classification results obtained using the SVM method in data mining show that 34 people are satisfied with online shopping (for a representation result of 59.65%), 23 people are dissatisfied with online shopping (for a representation result of 40.35%). These results state that there are still many people who are satisfied with shopping online and there are some people who are dissatisfied with online shopping
Analyzing Image Malware with OSINTs after Steganography using Symmetric Key Algorithm
Authors: Fauziyyah Anni Karimatul , Adrian Ronald , Alam Sahirul
Published: May 2023

Steganography is the practice of hiding a message or information within another file, such as an image (Singh & Singla, 2022). OSINT (Open Source Intelligence) involves using publicly available information for intelligence gathering purposes. In this research, the asymmetric key algorithm will be applied to the steganography method, using 10 images with different sizes and dimensions. Images tested for steganography are in tiff, gif, png, jpg, and bmp format. A combination of steganography and OSINT could involve analyzing and decoding images found on publicly available platforms, such as social media, to uncover hidden messages. On the other hand, steganography within OSINT can also be used to protect sensitive information from prying eyes. Overall, the combination of Symmetric Key Algorithm steganography and OSINT can be a powerful tool for both intelligence gathering and secure communication. Here in this work, malware is developed, and using that malware the victim’s machine is exploited. Later, an analysis is done via freely available OSINTs to find out which is the best OSINT that gives the best results. OSINTs have been very helpful in identifying whether the URLs and files are malicious or not. But how binding an image with the malware makes it difficult for OSINTs to identify they are malicious or not is being analyzed in this work. The analysis shows that the best OSINT is VirusTotal which has a greater number of engines that could detect the malware whereas others don’t have a variety of engines to detect the malware. Also, when it comes to malware afore binding it with an image is easier to detect whereas for an OSINT it was difficult to identify and detect the malware after binding with an image
Users Experience Analysis of the Zoom Meeting Application
Authors: Wijaya Laksana Gusti Bagus , Candiasa I Made , Dantes Gede Rasben
Published: May 2023

This research aimed to analyze the User Experience analysis of the Zoom Meeting application according to the perspectives of lecturers and students during online learning in the new normal era because the Zoom application is considered to have numerous outstanding features. The population in this research were 2 lecturers and 123 students of the Bachelor of Elementary School Teacher Education Study Program in the 2021/2022 academic year in Bali. The purposive sampling technique was used along with the questionnaire and in-depth interview. As a result, the attractiveness, clarity, efficiency, and stimulation aspects scale got the average positive result from the questionnaire because the value obtained was more than 0.8. Furthermore, the average questionnaire scale was neutral for the accuracy and novelty aspects because the values obtained were from -0.8 to 0.8. Therefore, the accuracy aspect has the lowest value compared to other aspects. It was also verified from the data obtained from the in-depth interview results, which showed various problems and obstacles experienced by users in terms of the accuracy of the Zoom Meeting application when used as an online learning medium, i.e., difficulties in conducting disciplinary assessments and conducting lectures that required practical skills. Although Zoom has many benefits for online learning, it still has several limitations that must be addressed by lecturers, students, and Zoom developers.
Application of the Naïve Bayes Algorithm in Determining Sales Of The Month
Authors: Supendar Hendra , Rusdiansyah Rusdiansyah , Suharyanti Nining , Tuslaela Tuslaela
Published: May 2023

One important factor for creating a healthy and growing company is the existence of sales rewards for employees to achieve sales targets every month. Assessing employees is not an easy thing when there are so many employees. This will make the assessment team have to look at the criteria carefully and carefully. Data manipulation can occur because it is difficult to make decisions with such large criteria and data without automated data mining. As a result, the company will not get competitive human resources. Sales targets are one of the keys to sales success because with sales targets, the sales prediction value can be used as a guide as a reference in determining product sales. One way to make better sales predictions is by utilizing data mining processing using the Naive Bayes algorithm. The Naive Bayes algorithm calculates the probability value of each of the attributes examined including attendance, sales targets and sales returns. Research with employee absence criteria, monthly sales and monthly sales invoice returns. From the results of the research that has been done, it can be concluded that the application of the Naive Bayes classifier method to the target data set for sales of goods achieves an optimization level of 95.78%, with attendance criteria greatly affecting employee performance so that product sales targets each month can be achieved
Application of Enterprise Architecture in Digital Transformation of Insurance Companies
Authors: Prawira Khairul Thamrin , Hindarto Djarot , Indrajit Eko
Published: May 2023

Implementation of enterprise architecture is a major requirement for companies that want to develop business processes according to their needs. Business architecture is the company's initial plan to support the company's operations. An insurance company is a company that provides insurance services. Insurance is a form of contract in which the guaranteed party pays a premium to the insurance company. Insurance companies provide payment guarantees in the event of certain risks that are guaranteed in the insurance contract. Therefore, this company must think about operational forms to provide the best service for its customers. Structuring business processes starting from the sales process, administrative processes, claims processes, to financial processes which are the most vital processes. Insurance companies are different from other financial services companies, such as banking companies, fintech companies and others. The insurance company's unique process is to provide guarantees to its customers in carrying out risk protection. Before starting to implement enterprise architecture, the company already has a business architecture blueprint which is the enterprise architecture of a company. The design begins with running architectural business processes, architectural applications, architectural databases and architectural technology. Enterprise architecture implementation certainly cannot be separated from project management. Because project management is a process that manages the project so that the project becomes more organized in its implementation
Implementation of Cyber-Security Enterprise Architecture Food Industry in Society 5.0 Era
Authors: Sari Ratih Titi Komala , Hindarto Djarot
Published: May 2023

The application of Enterprise Architecture is an important topic in the development of the food industry in the Society 5.0 Era. Enterprise Architecture is used to integrate and optimize corporate information systems so as to generate higher business value. This study aims to evaluate the effectiveness of Enterprise Architecture implementation in improving the performance of the food industry in Era Society 5.0 and implementing Cyber-Security as a defense against the system to be implemented. This study uses a case study method by collecting data from several companies in the food industry. The data collected includes information about the implementation of Enterprise Architecture, business performance, and factors that influence the successful implementation of Enterprise Architecture. The results of the study show that the implementation of Enterprise Architecture has helped companies improve their business performance, especially in terms of operational efficiency, better decision making, and the ability to adapt to changes in the business environment. Factors that influence the successful implementation of Enterprise Architecture include management support, involvement of business users, and availability of resources. In conclusion, the application of Enterprise Architecture can help the food industry in Era Society 5.0 improve its business performance. However, the implementation of Enterprise Architecture must be accompanied by strong management support, greater involvement of business users, availability of adequate resources and adequate Cyber-Security. The novelty of this research is implementing Cyber-Security as protection in implementing Enterprise Architecture.
TOGAF Framework For an AI-enabled Software House
Authors: Crosley Nathaniel , Indrajit Richardus Eko , Dazki Erick
Published: May 2023

The integration of artificial intelligence (AI) in software development has revolutionized the industry, leading to faster and more accurate results. However, the implementation of AI requires a robust framework to ensure effective planning, design, implementation, and maintenance of AI-enabled software systems. The Open Group Architecture Framework (TOGAF) provides such a framework, enabling organizations to develop a structured and integrated approach to AI-enabled software development. In this journal, we present a case study of how a software house utilized the TOGAF framework to integrate AI in their software development processes. We discuss the challenges faced by the organization in the integration process and how the TOGAF framework provided a structured approach to overcome these challenges. We also highlight the benefits that the organization realized through the implementation of AI-enabled software systems. The case study presented in this journal demonstrates the applicability of the TOGAF framework in AI-enabled software development, and its potential to enhance the capabilities and competitiveness of software houses. The TOGAF framework provides a structured approach to the integration of AI in software development, ensuring that organizations can effectively leverage the benefits of AI while minimizing the associated risks and challenges.
De Novo Vertebral Artery Dissecting Aneurysm after Parent Artery Occlusion of the Contralateral Vertebral Artery
Authors: Tsuji Yuichiro , Murase Sho , Kuroda Yuzo , Wanibuchi Masahiko
Published: May 2023

After treatment of unilateral vertebral artery dissecting aneurysm (VADA), de novo VADA rarely occurs on the contralateral side. In this article, we report a case of subarachnoid hemorrhage (SAH) due to de novo VADA in the contralateral vertebral artery (VA) 3 years after parent artery occlusion of unilateral VADA, with a review of the literature. A 47-year-old woman was admitted to our hospital complaining of headache and impaired consciousness. Head computed tomography showed SAH, and three-dimensional computed tomography angiography showed a fusiform aneurysm in the left VA. We performed an emergency parent artery occlusion. Three years and 3 months after the initial treatment, the patient presented to our hospital with complaints of headache and neck pain. Magnetic resonance imaging revealed SAH, and magnetic resonance angiography revealed de novo VADA in the right VA. We performed a stent-assisted coil embolization. The patient had a good postoperative course and was discharged with a modified Rankin scale score of 0. Long-term follow-up is necessary in patients with VADA because contralateral de novo VADA can develop even several years after the initial treatment.
Cyclin-Dependent Kinase Inhibitor 2A is a Key Regulator of Cell Cycle Arrest and Senescence in Endothelial Colony-Forming Cells in Moyamoya Disease
Authors: Choi Seung Ah , Moon Youn Joo , Koh Eun Jung , Phi Ji Hoon , Lee Ji Yeoun , Kim Kyung Hyun , Kim Seung-Ki
Published: May 2023

Objective : Endothelial colony-forming cells (ECFCs) have been reported to play an important role in the pathogenesis of moyamoya disease (MMD). We have previously observed stagnant growth in MMD ECFCs with functional impairment of tubule formation. We aimed to verify the key regulators and related signaling pathways involved in the functional defects of MMD ECFCs.Methods : ECFCs were cultured from peripheral blood mononuclear cells of healthy volunteers (normal) and MMD patients. Low-density lipoproteins uptake, flow cytometry, high content screening, senescence-associated β-galactosidase, immunofluorescence, cell cycle, tubule formation, microarray, real-time quantitative polymerase chain reaction, small interfering RNA transfection, and western blot analyses were performed.Results : The acquisition of cells that can be cultured for a long time with the characteristics of late ECFCs was significantly lower in the MMD patients than the normal. Importantly, the MMD ECFCs showed decreased cellular proliferation with G1 cell cycle arrest and cellular senescence compared to the normal ECFCs. A pathway enrichment analysis demonstrated that the cell cycle pathway was the major enriched pathway, which is consistent with the results of the functional analysis of ECFCs. Among the genes associated with the cell cycle, cyclin-dependent kinase inhibitor 2A (CDKN2A) showed the highest expression in MMD ECFCs. Knockdown of CDKN2A in MMD ECFCs enhanced proliferation by reducing G1 cell cycle arrest and inhibiting senescence through the regulation of CDK4 and phospho retinoblastoma protein.Conclusion : Our study suggests that CDKN2A plays an important role in the growth retardation of MMD ECFCs by inducing cell cycle arrest and senescence.
Fluxo digital - do planejamento a execução da reabilitação oral estética: revisão sistemática
Authors: Moreira David Sampaio , Paixão Jaine Silva , Magalhães Júlia de Melo , Helfenstein Alexandra Amorim , Araújo Leonardo Barreto de , Porto Edla Carvalho de Lima
Published: May 2023

Objetivo: Apresentar as ferramentas digitais voltadas ao planejamento e execução de reabilitações orais estéticas em comparação ao fluxo tradicional de trabalho, através de uma revisão sistemática da literatura. Metodologia: Com base nas diretrizes do PRISMA, sob registro no banco de dados PROSPERO (CRD42022357348), realizou-se uma busca sistemática nas bases de dados PubMed, BVS e Cochrane Library, por estudos clínicos em inglês, português e espanhol, que permitissem avaliar o uso do fluxo digital em reabilitações orais estéticas. A seleção dos estudos para a avaliação da qualidade metodológica e coleta dos dados foi realizada de maneira independente por três revisores e um quarto mediador. Resultados: Oito estudos foram incluídos. Sendo avaliados os seguintes critérios: contatos proximais, oclusão dinâmica, estética e a função. Além do tipo de preparo, aspectos específicos do elemento dentário como superfícies e angulações.  Conclusão: Diante do que foi exposto, o auxílio das ferramentas digitais tem se tornado um veículo para o sucesso das reabilitações orais. Assim, com os avanços tecnológicos na área da odontologia, há a necessidade da atualização constante dos cirurgiões-dentistas.
Exame citopatológico em mulheres rurais
Authors: Hilario Alessandra Seghetto , Lohmann Paula Michele , Lavall Eliane , Brietzke Aline Patricia
Published: May 2023

O Ministério da Saúde recomenda que toda mulher que tem ou já teve atividade sexual deve se submeter a exame preventivo periódico (citopatológico - CP). O objetivo deste estudo foi descobrir o que poderia ser um impedimento para as mulheres rurais de um município pequeno no interior do estado do Rio Grande do Sul de realizar o exame. Foi realizada uma pesquisa qualiquantitativa exploratória e de campo, com questionários individuais com perguntas abertas e fechadas. Foram incluídas 75 mulheres que moram na zona rural que não realizaram o exame citopatológico há mais de uma ano. A pesquisa seguiu os preceitos da Resolução 466/2012, do Conselho Nacional de Saúde. Os dados quantitativos foram distribuídos em frequências. E os dados qualitativos foram categorizados. Das 75 mulheres entrevistadas, 52% realizaram coleta de CP a cada 2 anos e a minoria, 38,75% nunca realizou este exame. Este número mostra que esta é uma pequena parcela de mulheres de um município com mais de 11.000 (onze mil) habitantes. Porém vale a pena mencionar que grande parte destas são moradoras mais distantes das Estratégias da Saúde da Família (ESF). Concluímos que as mulheres que nunca realizaram o exame de CP são aquelas que moram em regiões mais distantes na área rural, que não possuem meio de transporte próprio e são de baixa renda. Dessa forma, as intervenções de enfermagem visam o incentivo ao exame de CP mesmo nas áreas mais remotas para aumentar as chances de cura.
Performance indicators to be explored in order to win Premier League matches
Authors: Lima Eric Matheus Rocha , Tertuliano Ivan Wallan , Fischer Carlos Norberto
Published: May 2023

Football is a dynamic collective sport that involves the actions of players on the field, in addition to the availability and application of player data. Being a sport extensively investigated in terms of performance analysis, there is still a need for more predictive analyzes to better understand the indicators of success. Due to these aspects, this research aimed to verify the influence of the market value of football clubs, as well as the influence of the venue and the tactical/technical aspects - shots on target, corners, crosses, ball possession and passes -, to win Premier League matches. To carry out this research, data from all 380 matches of the PL 2015/2016 season were used. The Transfermarkt website was used to collect the market value of the teams and the Daily Mail website to collect the matches data. Data analysis was performed using the Weka software. The results showed that the market value and the venue, separately, were not relevant to the victories, but when associated to tactical/technical indicators, both contributed with the victories of the teams. Concept A teams, with higher market values, achieved more victories than the concept C teams, with lower market values, in the home games when the aforementioned associations were analyzed. The results of the performed analyzes show that direct and indirect game actions are relevant for teams to win matches played at home, especially for the ones with higher market value.
Perfil epidemiológico e laboratorial de pacientes diabéticos tipo 2 em um centro de referência de Aracaju/SE
Authors: Aragão Beatriz Carvalho , Viaggi Thaissa Carvalho , Guimarães Adriana , Sá Gabriela Ramos Carvalho de
Published: May 2023

O Diabetes Mellitus (DM) é uma das doenças crônicas não transmissíveis (DCNT) mais frequentes sendo a quarta principal causa de morte no mundo. Além do fator humano, as complicações geram impactos econômicos na rede de saúde, uma vez que atingem a população economicamente ativa. Diante disso, o estudo realizado é de suma importância para não só traçar um perfil epidemiológico laboratorial e clínico do Diabetes, como também suas complicações e fatores de risco. Este, por sua vez, tratou-se de um estudo descritivo e longitudinal retrospectivo, o qual utilizou dados quantitativos e qualitativos colhidos em prontuários de pacientes atendidos no Centro de Diabetes e Endocrinologia Luciano Barreto Júnior em Aracaju – Sergipe, entre os meses de agosto a dezembro de 2019. Variáveis socioeconômicas foram avaliadas assim como comorbidades e complicações da diabetes. A amostra de 200 pacientes caracteriza-se por predominância do sexo feminino (75,4%), bem como a idade entre 60-70 anos (43,1%). Dentre os pacientes, 3,1% eram tabagistas e 1,5% etilistas. A esteatose hepática está associada a 18,5% dos pacientes, já a HAS 80%, e 89,2% dos indivíduos avaliados apresentavam um quadro de dislipidemia. Os pacientes em sua maioria (76,9%) se encaixavam no grupo com glicemia de jejum < 154mg/dL, sendo a média de 137,6mg/dl. Já a Hemoglobina glicada 32,3% apresentaram resultados <7%, e 27,7% apresentam valores > 10%. Concluímos que apesar do serviço do Centro de Diabetes oferecer consulta e acompanhamento multidisciplinar, os pacientes não participam delas, como esperado e consequentemente não obtém controle glicêmico adequado. Além disso, precisa fazer uma atualização e padronização nos prontuários para que tenha todas as informações dos pacientes contidos neles.
Effects of total intravenous anesthesia with etomidate and propofol on postoperative cognitive dysfunction
Authors: Zhi Y , Li W
Published: May 2023

Increased incidence of postoperative cognitive dysfunction (POCD) is observed in elderly patients underwent intravenous anesthesia (TIVA) with endotracheal intubation. Modulation of anesthetics compatibility may reduce the severity of POCD. Elderly patients scheduled for TIVA with endotracheal intubation were randomly divided into the control group (1.00‑2.00 mg/kg propofol) and the etomidate and propofol combination group (1.00‑2.00 mg/kg propofol and 0.30 mg/kg etomidate). Serum cortisol, S100β, and neuron-specific enolase (NSE), interleukin (IL)-6, and IL-10 were monitored during or after the operation. Mini-mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) were utilized to assess the severity of POCD. 63 elderly patients in the etomidate and propofol combination group and 60 patients in the control group were enrolled, and there was no significant difference in gender, American Society of Anesthesiologists (ASA) physical status, surgical specialty, intraoperative blood loss, and operation time between the two groups. Significantly increased serum cortisol, S100β, NSE, IL-6, and reduced MMSE and MoCA scores were detected in the control group at different time points after the operation (0-72 h post operation) when compared to those before the operation. Similar trends for these observed factors were found in the etomidate and propofol combination group. In addition, the etomidate and propofol combination group showed better effects in reducing the serum levels of cortisol, S100β, NSE, IL-6, and increasing the MMSE and MoCA scores when compared to the control group. The present study demonstrates that the combination of propofol with etomidate could alleviate POCD in elderly patients underwent TIVA with endotracheal intubation anesthesia.
A Case Study on the Operation of Non-ubject Programs Centered on University Competency Education: The Effect of Reading Community Book Club Experience on Core Competence of College Students
Authors:   The Korean Society of Culture and Convergence, Shim Bokyung
Published: May 2023

The purpose of this study is to present the effect of the book club experience of college students reading community on the core competencies of college students. In order to examine the correlation between the book club experience and core competencies of the undergraduate reading community, the team participating in the non-curricular program 'Symbius Book Club' of the Communication Education Center of Hallym University analyzed the book club operation report and conducted in-depth interviews through discussions. did As a result of deriving the subject's book club experience through narrative analysis for qualitative research, educational effects were found in 'communication and cooperation competency', 'self-reflection competency', and 'communication competency', which are the core of college competency education and university students. It can help in formulating capacity plans.
The Transition of ‘Sense’ in the movie Burning
Authors:   The Korean Society of Culture and Convergence, Choi Minseo
Published: May 2023

As director Lee Chang-dong's film Burning (2018) has become a hot topic in terms of art, research on the work has also been conducted in various ways. However, this study attempted to examine the meaning of the movie , focusing on 'sense', a discussion that has not been dealt with so far. Merlo-Ponti saw 'sense' as a basic step toward 'subjective body', and said that this sense and body are essential conditions for experiencing 'the world'. In other words, sense cannot be separated from the relationship between the body and the world, and eventually extends to the wide horizon of the world through the body as a subject. Accordingly, this study identified the elements of 'sense' in the movie  and analyzed how it combines with the world through the body as a subject. Furthermore, the possibility of what kind of performance the sensory experience can lead to for the audience was also considered.
The Archetype of Femme Fatale Character in K-drama: Focusing on the Heroine of Misty
Authors:   The Korean Society of Culture and Convergence, Kim Gongsook
Published: May 2023

The archetype of the femme fatale character of Go Hye-ran, the heroine of the K-drama Misty, was analyzed by applying the Greek mythology archetype theory of the Jungian School of Bolen and the discussion of the femme fatale character in literature. A femme fatale is a female type that maximizes the negative aspects of the archetype of the goddess Aphrodite. Misty shows the tragedy that can happen when an goddess Aphrodite-archetypal woman rushes for her desire through the modern success-oriented femme fatale Go Hye-ran. She reproduces the archetype of femme fatale as a beautiful and menacing villainess, an unknown woman wrapped in a veil, and the incarnation of narcissistic desire. The femme fatale's counterpart is an immature and weak male type. Lee Jae-young is analyzed as the archetype of Ares, the goddess Aphrodite's lover, Myung-woo Ha as the archetype of Hephaestus, the husband chosen by Aphrodite, and Tae-wook Kang as the archetype of Apollo. Go Hye-ran can be said to be a true femme fatale in K-drama, which completed Misty as an archetypal drama by embodying femme fatale characters in myths and classics in a modern way.
Installation Art and the Aesthetics of Experience
Authors:   The Korean Society of Culture and Convergence, Park Jaehyung
Published: May 2023

This study aims to review the relationship between works and audiences in contemporary art by discussing installation art in terms of audience participation. For this purpose, it analyzes the aspects and structures of installation art that induce and encourage participation in various directions, and examines what kind of experiences installation art provides to the audience. The contents of the study will interpret minimalism in relation to Merlo-ponty's phenomenology and discuss the meaning of the exhibition that changes from space to place based on the consideration of the existing installation site. In addition, as audience-participating installation art develops, research will be discussed under the view that art does not exist as a “work” but has the power to change in the process of “events” and the expansion of Benjamin's concept of aura will be explored through Böhme's asthetik. Based on these discussions, this study raises the need to re-establish the concept of installing art works in the sense of creating a place where multiple interpretations and ambiguity meanings can be produced by inducing the participation of the audience, rather than simply displaying objects in space.
A Study on the Management Strategy of World Heritage Gyeongju Historic Area: Focusing on the Credibility of the World Heritage List
Authors:   The Korean Society of Culture and Convergence, Kim Soomin
Published: May 2023

This study introduces the concept of credibility which is one of strategies for implementing the World Heritage Convention. It focuses on the management strategy of Korea's World Heritage Gyeongju Historic Areas and examines their outstanding universal value and historic city value. To strengthen credibility after listing as a World Heritage site, it is important to preserve the value identified at the time of listing. This paper also studies factors that threaten the identified value of the Gyeongju Historic Areas. As a result, the restoration of historical sites lacking historical evidence, natural disasters, and overtourism are identified as existing threats to the identified values of the Gyeongju Historic Areas. In conclusion, in order to eliminate these threats and manage the Gyeongju Historic Areas sustainably, this study suggest first, establishing standards for restoration of world heritage, second, establishing a preemptive response system for natural disasters, and third, strengthening community awareness and developing community management plan as management strategies for Gyeongju Historic Areas.
Analysis of the Potential Demand for Posture/Body Shape Correction Inner- Wear for New Seniors
Authors:   The Korean Society of Culture and Convergence, Han Hyunjung , Hwang Hyeonjung , Lee Hyunjoo
Published: May 2023

This study aims to derive potential demand for posture/body correction inner-wear by specifically investigating the purchase and wearing status of posture/body correction inner-wear, satisfaction with related products, individual pain, diseases and parts. For this study, we conducted and analyzed a total of 154 senior women. As a result of this study, in the case of current senior women, it was possible to confirm the demand for inner wear in the form of daily wear that can correct posture and body shape at the same time. In particular, in middle age, pain or diseases caused by body type and posture were found to be high in demand for inner-wear. Through this study, we were able to derive major factors for detailed design and product planning related to design, fit, safety, and function that target consumers recognize as important. The contents of this study are intended to be used as basic data for follow-up research for the development of inner-wear for posture/body shape correction.
A Case Study of Core Emotional Expression Integrated Art Therapy for the Relief of Depressive Symptoms in Middle-aged Women
Authors:   The Korean Society of Culture and Convergence, Jang Man Sik , Jeong YoungKi
Published: May 2023

This study seeks to find out the effects and possibilities of middle-aged women's depressive symptom reduction and resolution program developed and applied through key emotional expression. For this purpose, a combination of qualitative and quantitative research methods was conducted. The subjects were three middle-aged women in K-city, K-do who had been diagnosed with depression in the past and had received treatment or were currently receiving treatment. Thus, it was confirmed that the program was effective for all participants. In addition, in the changes according to the t-test of A and B, pre- and post-tests, all items such as depression, self-esteem, and resilience showed statistically significant results with a significance probability of p<.05 at the 95% confidence level.