bluuebunny/crossref_metadata_2025 huggingface dataset:
DATA WAREHOUSE MODEL BASED ON KIMBALL METHODOLOGY TO SUPPORT DECISION MAKING IN ASSET MAINTENANCE
Authors: Ivanoti Vasthu Imaniar , Royani Muhammad , Samidi Samidi
Published: August 2023

ITSM e-Prime is an ICT service management application based on ITSM framework owned by Pusintek that includes service desk, incident management, problem management, change management, release management, and configuration management processes. Currently there is a problem in determining the number of devices that will be included in the device maintenance contract or determining the number of devices that need to be replaced in a given year. The objective of this research is to build an asset management data warehouse so that it can be utilized by the Data Analysis and Presentation Team to produce a dashboard that presents data on network infrastructure assets that need to be maintained or replaced for budget planning needs. This descriptive verification analysis research used nine out of ninety tables from the ITSM e-Prime application and applied dimensional modeling Kimball to build a data warehouse because this methodology offers high query performance and understandable by end-user. The resulting data warehouse were tables in the form of star-schema. The tests were carried out by qualitative methods, namely quality testing by users (user acceptance test and blackbox testing) and quantitative method, namely comparing the number of infrastructure devices included in the maintenance contract in 2022. The final result of this research is a data warehouse consisting of fact table F_infrastructure and dimension table D_Merk, D_Area, D_Kategori, D_EoS, D_Garansi, and D_StatusPemeliharaan with acceptance percentage of 95% based on the test results.
STEEL BOX GIRDER BRIDGE COMPONENT TRACEABILITY SYSTEM USING TREE STRUCTURE DIAGRAM AT PT BUKAKA TEKNIK UTAMA
Authors: Wibawa Condro , Mustikasari Metty , Anggraeni Dessy Tri
Published: August 2023

The International Organization for Standardization (ISO) through ISO 9001:2015requires every product to have product traceability. In response to these challenges, PT Bukaka Teknik Utama developes the Traceability System in the Steel Box Girder Bridge products. Traceability System built by adopting Tree Structure Diagram Concept to describe production system process currently runs. The production process start from identify raw material, cutting process, sub-assembly process, and assembly process. This concept is then translated into Relational Database by applying Parent-Child Concept. The result of this Traceability System is the system able to issue a list of product traceability including raw material information, sub-contractor/employee who work on them, etc, quickly and accurately. System testing was carried out using the black box method, where of the 37 items tested all functioned properly. Tests were also carried out to determine the accuracy and speed of the system compared to the manual method. Of the 10 tests carried out, the system traceability is exactly the same as the manual method with an average processing time of 3 seconds, compared to the manual method, which is 97.6 seconds.
IMPLEMENTATION OF INTERNSHIP DATA MANAGEMENT APPLICATION WITH PROTOTYPE METHOD AND USER ACCEPTANCE TEST METHOD
Authors: Tjahjono Laura Mahendratta , Gosal Gladys Greselda
Published: August 2023

Universities generally have programs that offer students internship opportunities in departments within the university. In several universities especially Universitas Ciputra, internships in departments within these universities are mandatory activities for scholarship recipient students. This internship activity involves many parties, including students implementing internships, departments that provide internship vacancies and also student bureaus that monitor the implementation of internships. The obstacle faced in this activity is the difficulty of fulfilling internship vacancies with students who have interests, abilities and profiles that match the requirements of internship vacancies. The student bureau also has difficulty monitoring the progress of the implementation of internship activities in the field. The purpose of this research is to provide a solution to the problems faced in this internship in the form of a website application developed using the Prototype Model method using the Laravel framework and tested using the User Acceptance Test (UAT) method. The result of this research is a website prototype that can be used. The results of the UAT test show that the application made can help solve problems in this internship activity with a user satisfaction level of up to 96%.
COMPARISON OF K-NEAREST NEIGHBOR AND NAIVE BAYES METHODS FOR CLASSIFICATION OF NEWS CONTENT
Authors: Tejawati Andi , Septiarini Anindita , Rismawati Rondongalo , Puspitasari Novianti
Published: August 2023

With the development of technology, news reading via the internet or digital tends to increase. In addition, there are about 300 to 400 news articles in one month and many categories of news articles in a web portal. It makes the editor's performance more and more because an editor must be able to edit articles from various channels and at the same time have to categorize articles one by one manually into several specified categories. This study aims to compare the K-Nearest Neighbor (KNN) and Naive Bayes methods to classify news content in order to obtain the best method. The data used in this study are news articles from the web portal kaltimtoday.co from January 2022 to March 2022. Therefore 576 data are obtained. The results showed that the application of the KNN and Naive Bayes methods could be used to classify news content. The KNN method is able to produce a higher accuracy value than Naïve Bayes, reaching 86% and 51% with test data of 100 news articles.
CRYPTOGRAPHIC PROTOCOL SECURITY IN NATIONAL ENCRYPTION APPLICATIONS
Authors: Widodo Agung , Suryanto Yohan
Published: August 2023

In the era of digital transformation, information exchange, especially confidential and strategic information has become the most vital aspect for almost all organizations. Various bad precedents regarding classified and strategic information leaks in Indonesia have become a slap in the face that must be acknowledge and answered with effective solutions. In 2020, XYZ Agency developed a file encryption application (ABC Application) to address the challenge of securing confidential information, especially those transmitted on electronic channels. Until 2022, the ABC Application has been implemented in a limited scope and its implementation is planned to be expanded nationally. After 2 years of operation, the XYZ Agency has conducted a study on the security of the algorithm used in ABC Application, but unfortunately has not conducted an in-depth study regarding the security of the protocol suite used in the Application. In this research, a security analysis of ABC application protocol suites, namely the registration protocol, user verification, key generation, and key request for the encryption-decryption process protocol was conducted through formal verification approach using the Scyther Tool. The analysis focuses on aspects of guaranteeing confidentiality of information and authentication with four criteria, namely secrecy, aliveness, synchronization, and agreement. The experimental results showed that these protocols meet the security criteria for the transmitted confidential information but have general weaknesses in the authentication aspect, especially for synchronization and agreement criteria. Based on these weaknesses, technical recommendations are proposed that are able to overcome the identified weaknesses.
BUSINESS PROCESS REENGINEERING SUPPLY CHAIN MANAGEMENT SYSTEM BASED BLOCKCHAIN USING BPR LC
Authors: Tananto Fikri Firdaus , Sari Wellia Shinta , Alzami Farrikh , Nabila Mira , Saputra Filmada Ocky , Umam Chaerul , Syafrudin Hasan Aminda , Handoko L.Budi
Published: August 2023

The agricultural sector in Indonesia is a superior sector compared to other sectors. The red onion commodity in Indonesia has the highest household consumption rate. Nowadays, technological developments are widely used to support existing agriculture to get maximum results. One of the technologies that can be used in agriculture is blockchain. The application of blockchain has gained importance in information systems and information technology research in the agricultural sector. However, in Indonesia, precisely in Central Java, there is no red onion supply chain management that uses blockchain technology for data storage, data security and data transparency. The author has a goal to re-engineer to overcome these problems by implementing blockchain technology using the Hyperledger Fabric and modeling business processes with Business Process Modeling Notation (BPMN). This research uses the Business Process Re-Engineering Life Cycle method in which this research produces red onion supply chain management with a new business process that is described by Business Process Modeling Notation (BPMN) and produces blockchain applications with various features and testing has been carried out using the Black box testing method with the result that existing features can run well without problems and the web application is running according to user needs to support supply chain management deficiencies so that they become more optimal and transparent in data storage.
DECISION TREE SIMPLIFICATION THROUGH FEATURE SELECTION APPROACH IN SELECTING FISH FEED SELLERS
Authors: Fitri Esmi Nur , Winarno Sri , Budiman Fikri , Rohmani Asih , Zeniarja Junta , Sugiarto Edi
Published: August 2023

Feed is a crucial variable because it can determine the success of fish farming. Breeders can use two types of artificial feed, namely alternative feed and pellets. Many cultivators need pellets as the main consumption for the fish they are cultivating because the pellets contain a composition that has been adjusted to their needs based on the type and age of the fish. However, currently, cultivators are facing a problem, namely the high price of fish pellets on the market. Therefore, an analysis of the classification of the selection of fish feed sellers is needed that is adjusted to several criteria like the number of types of feed, price, order, delivery, and availability of discounts. This study conducted a classification analysis of simplification of characteristics in selecting fish feed sellers in Kendal Regency that would then be compared with a model without feature selection by utilizing the Decision Tree C4.5 method. The results of this study are the decision tree with the best performance where C4.5 with the application of the selected feature has an accuracy value of 92%, while C4.5 without the selection feature has an accuracy of 86.8%. The results of this study indicate that the C4.5 method with the application of selection features is better than C4.5 without selection features so that it can be applied to the selection of freshwater fish feed sellers in Kendal Regency.
IMPLEMENTATION OF PARTICLE SWARM OPTIMIZATION IN K-NEAREST NEIGHBOR ALGORITHM AS OPTIMIZATION HEPATITIS C CLASSIFICATION
Authors: Setianingsih Susi , Chasanah Maria Ulfa , Kurniawan Yogiek Indra , Afuan Lasmedi
Published: August 2023

Hepatitis has become a public health problem that is generally caused by infection with the hepatitis virus. One type of hepatitis caused by a virus is Hepatitis C. This disease can cause patients to experience inflammation of the liver. In the worst conditions, it can even lead to death. Initial predictions need to be made to increase the awareness of each individual against the threat of Hepatitis C by using the K-Nearest Neighbor method. K-Nearest Neighbor is a classification method that can give a pretty good percentage result in classifying, especially when using large training data. However, K-Nearest Neighbor still has a weakness, namely the determination of the value of K that is less precise so that it can reduce classification performance. To overcome these shortcomings, the researchers used the implementation of Particle Swarm Optimization on K-Nearest Neighbor to find the optimal K value. The existence of this implementation is expected to be able to increase the value of accuracy in classification and overcome solutions to weaknesses in the K-Nearest Neighbor algorithm. From the results of the K-Nearest Neighbor test, the accuracy value is 97.24% at K=5 and K=3. As for the results of testing the implementation of Particle Swarm Optimization on the K-Nearest Neighbor, there was an increase in the accuracy value of 2.07% to 99.31%. This test shows that the implementation of PSO can overcome the shortcomings of KNN and this model can be used as the best solution to determine the classification of Hepatitis C disease.
DATA AVAILABILITY IN DECENTRALIZED DATA STORAGE USING FOUR-NODE INTERPLANETARY FILE SYSTEM
Authors: Tony Haryanto  , Ramli Kalamullah , Pramudianto Arga Dhahana
Published: August 2023

Centralized storage is a data storage model in which data is stored and managed in a single physical location or centralized system. In this model, all data and information are stored on servers or data centers managed by one entity or organization. This model also has disadvantages such as risk of system failure against distributed denial of service (DDoS) attacks, natural disasters, and hardware failures causing a single point of failure. This threat results in loss of data and a lack of user confidence in the availability of data in centralized storage. This study proposes to evaluate the availability of data in decentralized data storage using a four-node interplanetary file system (IPFS) that is interconnected with a swarm key as the authentication key. Unlike centralized storage which has only one data center, four-node IPFS allows users to upload and download data from four interconnected data centers. This can avoid dependence on the central server and reduce server load. The evaluation results show that decentralized data storage using a four-node IPFS system is three times more resilient than centralized storage against a single point of failure. This system can increase data availability so that organizations can minimize data loss from the threat of system failure.
DECISION SUPPORT SYSTEM FOR PREDICTING EMPLOYEE LEAVE USING THE LIGHT GRADIENT BOOSTING MACHINE (LIGHTGBM) AND K-MEANS ALGORITHM
Authors: Ivanoti Vasthu Imaniar , Megananda Hervita P.  , Gandung Triyono  , Dyah Puji Utami
Published: August 2023

Nowadays, decision support systems have gained wide popularity not only in private companies but also in government sectors. These systems play a crucial role in assisting leaders during the decision-making process. The effective functioning of the government heavily relies on employee performance, which requires discipline in carrying out their duties and responsibilities. Employee discipline is closely linked to their attendance, including leave-taking. Therefore, analyzing employee leave data can reveal trends and interrelationships, providing leaders with valuable information and insights for determining employee leave policies. To address this issue, data mining applications such as the Light Gradient Boosting Machine (LightGBM) regression prediction model can be utilized. This model takes into account factors like gender, age, and the starting year of leave to predict the number of employees who take annual leave simultaneously with holidays. Additionally, clustering algorithms like K-Means can be employed to group reasons for leave into clusters, identifying common leave patterns among employees. In this study, employee leave application data from January 2018 to July 2022 was collected from the Leave module within the HRIS (Human Resource Information System) application. The research outcomes encompass a dashboard visualization presenting descriptive analysis and modeling using LightGBM. The modeling results yielded reasonably accurate predictions, as evidenced by model testing that showed a difference of only 1 employee. Additionally, K-Means clustering formed 4 clusters of leave reasons, with the majority being family-related, illness, childcare, and elderly care. The dashboard can be used by management as a consideration for approving employee leaves, ensuring well-planned leave scheduling for the following year and minimizing disruption to work execution in each department.
PERFORMANCE OF K-MEANS CLUSTERING AND KNN CLASSIFIER IN FISH FEED SELLER DETERMINATION MODELS
Authors: Esmi Nur Fitri  , M. Hafidz Ariansyah  , Sri Winarno  , Fikri Budiman  , Asih Rohmani  , Zeniarja Junta , Edi Sugiarto
Published: August 2023

Feed is a crucial variable because it can determine the success of fish farming. Farmers can use two types of artificial feed, namely alternative feed and pellets. Many cultivators need pellets as the main food for the fish they are cultivating because the pellets contain a composition that has been adjusted to their needs based on the type and age of the fish. However, currently, cultivators are facing problem, namely the high price of fish pellets on the market. Therefore, an analysis of the classification of the selection of fish feed sellers is needed according to several criteria like the number of types of feed, price, order, delivery, payment, availability of discounts, and the number of assessments. This study conducted a predictive analysis to determine the criteria for selecting fish feed sellers in Kendal Regency by utilizing the K-Means Clustering and KNN Classifier methods in the classification method. This research aims to compare the fish feed seller classification method where the pattern of fish feed seller is identified by K-Means Clustering and KNN Classifier, and then the researcher conducts performance appraisal and evaluation. The results of this study are decision-making patterns to help formulate strategies for cultivators and other interested parties. For verifying the method used, measurements were made to obtain an accuracy value where K-Means was 98.6% and KNN was 86.7%.The results of this study indicate that the K-Means Clustering and KNN Classifier methods can classify the selection of freshwater fish feed sellers in Kendal Regency.
IDENTIFYING POSSIBLE RUMOR SPREADERS ON TWITTER USING THE SVM AND FEATURE LEVEL EXTRACTION
Authors: Mei Serin Sitio Claudia , Sibaroni Yuliant , Suryani Prasetiyowati Sri
Published: August 2023

In everyday life, many events occur and give rise to various kinds of information, which are also rumors. Rumors can cause fear and influence public opinion about the event in question. Identifying possible rumor spreaders is extremely helpful in preventing the spread of rumors. Feature extraction can be done to expand the feature set, which consists of conversational features in the form of social networks formed from user replies, user features such as following, tweet count, verified, etc., and tweet features with text analysis such as punctuation and sentiment values. These features become instances used for classification. This study aims to identify possible spreaders of rumors on Twitter with the SVM classification model. This instance-based classification algorithm is good for linear and non-linear classification. In the non-linear classification, additional kernels are used, such as linear, RBF, and sigmoid. The research focuses on getting the best model with high performance values from all the models and kernel functions that have been defined. It was found that the SVM classification model with the RBF kernel has a high overall performance value for each data combination with a ratio of the amount of data is 1:1 or the difference is very large. This model gives accurate results with an average of 97.02%. With a wide distribution of data, the SVM classification model with the RBF kernel is able to map the data properly.
HEALTH SERVICE QUALITY VALUES OF PRIMARY CLINIC USING EPARTICIPATION SERVICE QUALITY ASSESSMENT
Authors: Siswanto Joko , Lisangan Erick Alfons , Zaenudin Zaenudin
Published: August 2023

The use of technology to manage participation in the quality of health services needs to be carried out to produce relevant, valid and accurate assessments of service quality. Not all Primary Clinics have health service quality standards and quality evaluation data for participation services using information technology (via electronic media). This is crucial for evaluating clinic development, upgrading the status to Main Clinic, and improving the service quality. The methodology used adopts the eParticipation framework with the stages of Areas of Participation (determining the main areas of participation), Category of Tools (determining the categories of ICT support tools), and Technology (determining ICT support technologies). The participation area is limited to Primary Clinic patients who act as participants of 1,308 people. 14 elements with a total of 33 detailed elements are the basic elements for assessing service quality. Application of eParticipation SQA website-based is used to manage and present the results of service quality assessments by Primary Clinic Managers. The highest average service quality assessment is in the answers to Good (62%), the Worse and Poor options are minimized, and the options of Good and Very Good are maximized. The technology required consists of software, hardware, and network devices. The application is supported by Manager and is used easily, quickly, and precisely.
COMPARISON OF IMAGE SEGMENTATION METHOD IN IMAGE CHARACTER EXTRACTION PREPROCESSING USING OPTICAL CHARACTER RECOGINITON
Authors: Wibawa Condro , Anggraeni Dessy Tri
Published: August 2023

Today, there are many documents in the form of digital images obtained from various sources which must be able to be processed by a computer automatically. One of the document image processing is text feature extraction using OCR (Optical Character Recognition) technology. However, in many cases OCR technology are unable to read text characters in digital images accurately. This could be due to several factor such as poor image quality or noise. In order to get accurate result, the image must be in a good quality, so that digital image need to be preprocessed. The image preprocessing method used in this study are Otsu Thressholding Binarization, Niblack, and Sauvola methods. While the OCR technology used to extract the character is Tesseract library in Python. The test results show that direct text extraction from the original image gives better results with a character match rate average of 77.27%. Meanwhile, the match rate using the Otsu Thressholding method was 70.27%, the Sauvola method was 69.67%, and the Niblack method was only 35.72%. However, in some cases in this research the Sauvola and Otsu methods give better results.
INFORMATION SECURITY RISK MANAGEMENT DESIGN OF SUPERVISION MANAGEMENT INFORMATION SYSTEM AT XYZ MINISTRY USING NIST SP 800-30
Authors: Ricko Dwi Pambudi  , Ramli Kalamullah
Published: August 2023

SIMWAS is an information system at the XYZ Ministry that is used to manage supervisory activities and follow up on supervisory results. SIMWAS is an important asset that contains all internal control business processes, but in practice, SIMWAS information security risks have not been managed properly. To overcome these problems, information security risk management is needed at SIMWAS. This study aims to design and analyze SIMWAS information security risk management using the NIST SP 800-30 framework. NIST SP 800-30 focuses on a particular infrastructure and its boundaries. Since the purpose is to perform a technical risk analysis of the core IT infrastructure, it is highly prescriptive. It has nine primary steps to conduct risk assessment. The NIST SP 800-30 framework is used to design and analyze SIMWAS information security risks by identifying threats, vulnerabilities, impacts, likelihoods, and recommendations for controls. SIMWAS information security risk assessment is carried out by analyzing data obtained from the results of interviews, observations, and document reviews. The results of this study show that SIMWAS information security has four low-level risks, eight moderate-level risks, and five high-level risks. Very low and low risk levels are acceptable according to the risk appetite of the business owner, but moderate, high, and very high-risk levels require risk avoidance, risk transfer and risk reduction. The XYZ Ministry need to carry out residual risk analysis and cost-benefit analysis from implementing controls in each risk scenarios.
Entre a tradição e a modernidade o poder familiar na política municipal
Authors: De Moura Juliano Brito Matheus
Published: August 2023

Trata-se de um estudo de caso no município de Taubaté-SP, sobre como José Bernado Ortiz um político vindo de um ramo familiar tradicional da política taubateana que esteve no poder em três mandatos no executivo municipal age entre a política “tradicional” e a “moderna”. Principalmente antes e após a Constituição de 1988 em uma cidade de porte médio do Estado de São Paulo. Alguns cientistas políticos, como FIGUEIREDO e LIMONGI (1999), KERBAUY (2000) e BRAGA (2014), apontam que as políticas mais tradicionais, como clientelismo, coronelismo, mandonismo perderam força com o advento da última Constituição em 1988. Por outro lado, estudiosos, como CANÊDO (1997), SANTOS (1997), OLIVEIRA (2007), GRILL (2012) e MONTEIRO (2016) apontam a permanência de algumas políticas “tradicionais”, como o poder familiar. Para tanto, o estudo de caso torna-se ideal, pois pode trazer uma visão micro e mais minuciosa que os olhares macro e mais abrangentes não são capazes de detectar.
Tramas etnográficas encarnadas da pesquisa em prisões
Authors: Sander Vanessa
Published: August 2023

RESENHA
NASCIMENTO, Francisco Elionardo de Melo. 2022. Travestilidades aprisionadas: narrativas de experiências de travestis em cumprimento de pena no Ceará. São Paulo: Editora Dialética, 204p.
Editorial
Authors: Mota Brasil Maria Glauciria , Marques Roberto
Published: August 2023

Editorial da revista O público e o privado, número 43, sobre os artigos e textos que compõem a coletânea na referida edição. O número prioriza: alguns marcadores sociais na leitura das relações de hierarquia presentes em nossa sociedade, o debate sobre políticas públicas em campos diversos tais como a educação e saúde e, finalmente, a discussão sobre espaço urbano.
Vingança, honra e civilização
Authors: Bogo Chies Luiz Antônio
Published: August 2023

José de Alencar (1829-1877) publica em 1870 O Gaúcho; Apolinario Porto Alegre (1844-1904) publica em 1872 O Vaqueano. Tanto o cearense, como o sul-rio-grandense são pioneiros na literatura que focaliza tipos humanos e sociabilidades regionais. Neste artigo, sob a inspiração da sociologia do romance, ambas as obras são abordadas na identificação e análise de aspectos que as aproximam e distanciam: a vingança emerge não só como um tema que potencializa os enredos e as narrativas literárias, mas que, sob a perspectiva sociológica, contribui para desvelar aspectos sociogênicos das (in)civilidades sul-americanas.
Sociologia das conflitualidades
Authors: Rondon Filho Edson Benedito
Published: August 2023

Este artigo analisa a obra Quarup de Antônio Callado, publicada em 1967, pelo Círculo do Livro, e consiste em inventário de sua Fortuna crítica em relação aos aspectos históricos e sociais do tempo romanesco e compreensão da expressão do autor quanto a sua radicalidade ou revolução. O objetivo principal é analisar Quarup em sua fortuna e composição crítica, interligando-a ao contexto histórico-social de sua publicação. A abordagem é essencialmente qualitativa com revisão sistemática. Os dados foram coletados através de pesquisa bibliográfica e interpretados com apoio do programa NVivo.10 e suporte na Teoria Crítica de Antonio Candido e Sociologia das Conflitualidades de José Vicente Tavares dos Santos.
“Casa dos Espíritos”, de Isabel Allende
Authors: Possamai Aline Dias
Published: August 2023

O artigo tem como objetivo analisar a obra literária, A casa dos espíritos, de Isabel Allende, através do olhar da Sociologia do Romance e da Violência. A literatura oferece uma importante contribuição para a compreensão do mundo sociocultural. O romance reflete o contexto social e histórico presenciado pelo autor e pelos seus leitores, ou seja, os rituais, heróis, conflitos e narrativas produzidos nas obras literárias cumprem uma função social: criar espaço para a interação de valores sociais e históricos entre sujeitos relacionados. Os conceitos utilizados ao longo do artigo foram a sociologia do romance, a violência e conflitualidade.  A metodologia utilizada foi a análise de literatura e de narrativas. Os resultados foram a compreensão do contexto histórico que pode ser qualquer país latino-americano e pela capacidade da autora de narrar uma história tão longa, sem perder a coerência, e de unir a realidade ao universo sobrenatural com tanta veracidade. Ao analisar o indivíduo dentro do romance, em que retrata seus conflitos individuais e vida cotidiana, vemos o reflexo da sociedade exterior. O leitor se identifica com os personagens, sofre por eles. E esse é o papel da sociologia do romance em analisar como as obras literárias, filmes, séries influencia o indivíduo e a sociedade, no qual, estamos todos inseridos. A representações da vida cotidiana, em que ela seja mostrada seriamente, com seus problemas humanos e socias. O artigo é um esforço para a compreensão da violência na sociedade contemporânea por intermédio da obra de Allende. Assim, apresentar um retrato dessa realidade e potencializar o diálogo entre a Literatura, a Sociologia e a História, além, de contribuir para o campo da Sociologia do Romance e da Conflitualidade aprofundando o trabalho da violência nas obras literárias.
Racismo e violência
Authors: Pires Marzulo Eber , Oliveira Sassi Leonardo
Published: August 2023

Propõe-se a investigação das relações entre espaço, racismo e violência enquanto problemática da cidade contemporânea, através da análise de obras ficcionais tomadas como discursos com potência instauradora da realidade. Analisam-se as obras Marrom e amarelo, de Paulo Scott (2019), O avesso da pele, de Jeferson Tenório (2020) e Os supridores, de José Falero (2020). Como método, descreve-se as condições sócio-demográficas, posição cartográfica e as paisagens dos lugares acionados nas obras, demonstrando a capacidade heurística da análise da ficção no campo dos estudos sócio-espaciais. Tem-se implicações epistemológicas, desde o reconhecimento da arte como constituinte da problemática sócio-espacial, superando a posição subordinada à legitimidade científica e paradigma representacional. Porto Alegre como lócus se torna relevante porque os estudos espaciais sobre a cidade historicamente ignoram a racialidade de sua segregação socioespacial. Também se analisa a relação direta entre segregação socioespacial racializada e violência. O artigo apresenta três níveis: 1) epistemológico, ao instaurar obras literárias ficcionais como referências para a investigação sócio-espacial; 2) demonstrativo, ao descrever características racializadas da segregação sócio-espacial; 3) relacional, ao situar a relação entre segregação espacial racializada e violência.
Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers
Authors: Lagunas Manuel , Impata Brayan , Martinez Victor , Fernandez Virginia , Georgakis Christos , Braun Sofia , Bertrand Felipe
Published: August 2023

Fine-grained classification is a challenging task that involves identifying subtle differences between objects within the same category. This task is particularly challenging in scenarios where data is scarce. Visual transformers (ViT) have recently emerged as a powerful tool for image classification, due to their ability to learn highly expressive representations of visual data using self-attention mechanisms. In this work, we explore Semi-ViT, a ViT model fine tuned using semi-supervised learning techniques, suitable for situations where we have lack of annotated data. This is particularly common in e-commerce, where images are readily available but labels are noisy, nonexistent, or expensive to obtain. Our results demonstrate that Semi-ViT outperforms traditional convolutional neural networks (CNN) and ViTs, even when fine-tuned with limited annotated data. These findings indicate that Semi-ViTs hold significant promise for applications that require precise and fine-grained classification of visual data.
Impact of Video Length Reduction due to Missing Landmarks on Sign Language Recognition Model
Authors: Vasquez Carlos , Bejarano Gissella
Published: August 2023

Sign Language Processing (SLP) has become an increasingly challenging field, particularly in the areas of sign language recognition (SLR), translation, and production. One of the primary challenges in SLP is pose estimation, which can be impacted by missing landmarks due to occlusions or limitations in the model’s performance. In this study, we propose a method for evaluating the impact of missing landmarks on the performance of an SLR transformer-based model for the Isolated Sign Language Recognition (ISLR) task. We train and test the Spoter model on two subsets of Peruvian Sign Language datasets, and evaluate its performance using top-1 and top-5 validation accuracy. The study finds that removing frames with missing landmarks did not significantly impact accuracy in most of the cases, which suggests that additional preprocessing steps may not be necessary to deal with missing landmarks in this particular task. These findings contribute to the ongoing research in SLP and highlight potential avenues for improving SLP tasks.
Discrete Hierarchical Continual Learning for Single View Geo-Localisation
Authors: Cabrera-Ponce Aldrich , Martin-Ortiz Manuel , Martinez-Carranza Jose
Published: August 2023

GPS-based aerial localisation presents a challenge for Unmanned Aerial Vehicles (UAVs) due to signal loss caused by weather conditions. As a result, vision-based methods have been developed to address this issue using the cameras onboard UAVs. The main challenge is to achieve UAV localisation during a flight mission using aerial images and Convolutional Neural Networks (CNNs). To solve this, we propose an aerial localisation methodology based on the sub-mapping concept using continual learning and a multimodel approach. We evaluate and compare our results with ORB-SLAM2, keyframe searching using colour histogram, and with a single model. Additionally, we show that our approach can find the corresponding sub-map and get the camera localisation from a single aerial image with an average accuracy of 0.77 and a processing speed of 69 fps.
INFLUÊNCIA DA DISGEUGIA DURANTE QUIMIOTERAPIA PARA TUMORES SÓLIDOS NO RISCO DE MORTE E DE OUTROS EFEITOS ADVERSOS DURANTE TRATAMENTO ANTINEOPLÁSICO
Authors: Barreto Giulianna Aparecida Vieira , Caetano Caio Ferreira Freire , Costa Gabriella Alves Julião , Carlos Anna Clara Aragão Matos , Silva Paulo Goberlanio de Barros
Published: August 2023

A quimioterapia (QT) consiste em tratamento sistêmico do câncer por meio de combinação de fármacos antineoplásicos, porém devido sua não especificidade, pode causar uma série de efeitos adversos, como a alteração do paladar (disgeusia). Adisgeusia pode estar associada a mal nutrição, náuseas, vômitos e outros efeitos adversos do tratamento oncológico. Assim, o objetivo desse estudo é avaliar a influência da disgeusia na incidência de outros efeitos adversos e no risco de mortedurante QT antineoplásica. Será realizado um estudo observacional, retrospectivo, transversal que utilizará a coleta de dados do sistema de Prontuário Eletrônicos de Paciente no Hospital Haroldo Juaçaba / Instituto do Câncer do Ceará em um períodode dois anos. Em cada sessão de QT os pacientes são avaliados pela equipe multiprofissional e avaliados quanto a presença e severidade de efeitos adversos utilizando escores da escala CTCAE v5.0. Os escores de diseugia serão coletados e associados com dados clínicos patológicos, severidade de náusea, vômito, diarreia, mucosite, anorexia e constipação, e sobrevida global calculadas por meio da diferença entre a data do início do tratamento e a data da última consulta/morte. Os dados serão associados por meio dos testes qui-quadrado/exato de Fisher e modelo de regressão logística multinomial e serão criadas curvas Kaplan-Meier para avaliação da sobrevida global, comparadas por meio dos testes de Log-Rank Mantel-Cox e regressão de Cox (p<0,05, SPSS 20.0).
QUERATOQUISTE ODONTOGÉNICO: REVISIÓN BIBLIOGRÁFICA
Authors: Castro Mariangel Jaramillo , Macas Luis Eduardo Vélez , Vargas Josselyn Adriana Sánchez
Published: August 2023

El presente trabajo de revisión de literatura aborda el queratoquiste y sus características clínicas, radiográficas e histopatológicas, asimismo las técnicas quirúrgicas utilizadas en el tratamiento, el uso de sustancias coadyuvantes y las tasas de recurrencia encontradas en la literatura para cada una. El estudio del queratoquiste y su importancia recae en su extensión, comportamiento y altas tasas de recidiva, por todo esto buscamos determinar el tratamiento más adecuado y así promover la reducción de las tasas de recurrencia. Se realizó una búsqueda de bibliografía electrónica en las bases de datos PubMed Advanced Search Builder,EBSCOhost (MEDLINE) y Cochrane, con el objetivo de realizar una revisión sistemática integradora. Se incluyeron artículos del período de 1960 a 2023 y fueron seleccionados utilizando las siguientes palabras clave: Odontogenic Cysts, Odontogenic Tumors, Oral Neoplasms, Basal Cell Nevus Syndrome. Dando un total de 32 artículos. Los resultados arrojaron que la resección es la técnica con menores tasas de recidiva con 0%, seguido de la combinación entre enucleación, osteotomía periférica y solución de Carnoy con un 0%, la enucleación con solución de Carnoy y la enucleación con osteotomía seguidas con un 18,2% empatadas. Se determinó que la asociación entre enucleación, osteotomía periférica y solución de Carnoy es la mejor alternativa de tratamiento, teniendo la segunda tasa más baja de recurrencia y menores tasas de morbilidad que la resección.
‘’Upaya UMKM Meningkatkan Brand Awareness Produk Baru Melalui Digital Marketing’’
Authors: Bima Setyahardi Paulus , Simamora Virgo
Published: August 2023

Penelitian ini memiliki bertujuan menjelaskan bagaimana “upaya UMKM meningkatkan brand awareness produk baru melalui digital marketing. Penelitian ini menggunakan metode pendekatan kuantitatif dengan teknik pengumpulan datanya menggunakan angket atau kuesioner. Sampel pada penelitian ini adalah generasi-z yang diambil sebanyak 102 responden. Teknik pengambilan sampling pada penelitian ini menggunakan metode purposive sampling yang menggunakan kriteria tertentu untuk mendapatkan sampel. Teknik pengumpulan data dilakukan dengan cara menyebar kuesioner kepada responden yang telah memenuhi kriteria khusus dalam hal ini merupakan generasi-z. Metode analisis data pada penelitian ini menggunakan software smartPLS SEM (Partial Least Square – Structural Equation Modeling) untuk menguji hipotesis penelitian. Hasil penelitian menjelaskan bahwa Digital Marketing (X) berpengaruh secara signifikan dan positif terhadap Brand Awareness (Y).
Gallic acid attenuates the Chronic construction injury of sciatic nerve induced neuropathic pain in mice
Authors: Kaur Satbir , Muthuraman Arunachalam
Published: August 2023

Gallic acid (GA) is one of the natural flavonoids and it is known to protect the neuronal system from various endogenous neurodegenerative processes. The present study is focused on evaluating the role of GA in chronic construction injury (CCI) of sciatic nerve-induced neuropathic pain. The test compound i.e., gallic acid (20 and 40mg/kg), and reference compound i.e., pregabalin (PrG: 5mg/kg) were administered intravenously for 10 consecutive days. The sciatic nerve injury-induced neuralgic sensations were assessed with multiple test methods like acetone drop, pinprick, plantar, tail-flick, and tail pinch tests at different time points i.e., 0, 4th, 8th, 12th, and 16th days. The biochemical level changes i.e., thiobarbituric acid reactive substances (TBARS), reduced glutathione (GSH), superoxide anion, calcium, myeloperoxidase (MPO), and tumor necrosis factor–α (TNF-α) were estimated in sciatic nerve samples. The administration of GA and PreG was shown a significant ameliorative effect against the CCI-induced pain response in a dose-dependent manner. Moreover, it also attenuated the tissue biochemical changes. The observed effects of GA were similar to reference drug PreG treated groups. Hence, GA has neuroprotective and pain relief effects against the CCI-induced neuralgia. It may be due to its natural free radical scavenging; regulation of inflammatory proteins; expression of antioxidant proteins, reduction of intracellular free calcium, and prevention of neuroinflammatory actions.
Propofol Quantification method in Palm Oil Based Nanoemulsion Formula using RP-HPLC
Authors: Eko Prasetyo Bayu , Azmi Norazrina , Laila Lia , Fuad Shamsuddin Ahmad
Published: August 2023

HPLC is one of the methods that is widely used for the routine determination of drug content in a pharmaceutical dosage form. The objective on this research was to develop a simple method to determine the propofol concentration in a new formulation using a palm oil-based nanoemulsion carrier system (NEMS™ MCT/LCT). The method used was reverse phase high performance liquid chromatography (RP-HPLC) using a C18 column with methanol and water (80:20) as the mobile phase and UV wavelength detection was 276 nm. The retention time obtained for the drug in NEMS MCT/LCT was 6.32 min. This was similar to the retention time of the standard. The correlation coefficient value from the calibration curve was 0.9998. The drug contents were 100.90% and 100.24% for the 1% and 2% NEMS MCT/LCT, respectively. The result indicated that the RP-HPLC method used for the analysis of propofol in the palm oil-based emulsion system was able to accurately determine the concentration of the drug.This method is suitable for routine determination of propofol concentration in palm oil-based emulsion formulations.
Reassessing the forgotten cure: Efficacy of bacteriophage as a therapeutic agent against MRSA in diabetic rats
Authors: AN Pradeep , S Ramasamy , JK VeniEmilda , CS VinodKumar
Published: August 2023

Methicillin-resistant Staphylococcus aureus (MRSA) is one of the leading causes of increased amputation, morbidity and mortality among patients with diabetic foot infections. These infections are refractory to antibiotics. Therefore, alternative therapy using phages has re-emerged as a promising option to treat such infections. The present study was conducted to evaluate the efficacy of phage in treating diabetic wound infection caused by MRSA 43300 in rats. Phages were isolated against MRSA 43300 and purified as per standard procedures. Diabetes was induced in healthy albino rats using streptozotocin. The minimum lethal dose (MLD) of MRSA and minimum protective dose (MPD) of phage was identified. A full-size excision wound was created on the back of rats. The rats were divided into five groups (Group I – Non-infected and untreated, Group II- Infected and untreated, Group III - Infected and phage challenged, Group IV- Infected and antibiotic treated, Group V – Non-infected and phage treated). Groups II, III and IV were infected with MLD of MRSA 43300. After 48 h of infection, Group III was treated with a single dose of MPD of phage and group IV was treated with mupirocin on all days. The wound were sampled on designated days, Gram stain was done to detect for the presence of pus cells and Gram positive cocci. Standard culture methods were used to confirm the presence of phage and MRSA 43300 and estimate their titre on different days among different groups. Wound contraction rate was recorded to compare the duration of wound healing between all the groups. Group II served as bacterial control in which all the rats died after 72h. The phage treated group III showed the presence of Gram positive cocci and pus cells in Gram stain till 6 days. Viable MRSA was isolated till 4 days post treatment and more than 50% of the wound contracted by day 12 of infection. Phage-treated group showed better wound contraction rate and faster bacterial clearance compared to antibiotic-treated group. The results of the present study help to reconsider phage therapy for treatment of drug-resistant infection.
Content Estimation of the Mineral Elements (Zn, Mg, Cu, Fe, Co and Ni) in Parsley at Aleppo Region Syria by Flame Atomic Absorption Spectroscopy
Authors: Antakli Saad , Sarkis Nazira , Nahas Firas
Published: August 2023

Metals estimation Zn, Mg, Cu, Fe, Co and Ni in parsley grown in Syrian Aleppo City in three different areas (AlsheikhSaeed, Alwadihi, and Alramouseh) were determined by flame atomic absorption spectrometry (FAAS). The experiments were carried out using atomic absorption spectrometry after wet and microwave digestion methods, in Nitric Acid as digesting solution. The concentrations of the analyzed dried parsley samples in two digestion methods were similar for each metal, we noticed that the relative standard deviations (RSD%) was higher by wet digestion method while the value did not exceed 4.27% in microwave digestion method. The use of microwave digestion system provides a better digestion, with a short period, not exceeding ten minutes in closed containers, where the microwave digestion is not associated with contamination of the sample or laboratory.
Quantitative Determination of Proguanil HCl in presence of Croscarmellose Sodium by HPLC using Competitor Mechanism
Authors: S. Sayare Atul , S. Kalekar Shradha , D. Ghode Prashant , O. Sharma Nishi , A. Kulkarni Monika , A. Yerne Sonali , M. Tarange Sujata
Published: August 2023

A simple, precise and accurate high-performance liquid chromatographic method was developed for estimation of proguanil HCl in presence croscarmellose sodium in bulk and tablet formulation. During analysis a strong interaction between proguanil HCl and croscarmellose sodium was noticed when proguanil HCl in an aqueous solution was spiked with croscarmellose sodium. This interaction leads to retention of drug on the surface of croscarmellose sodium. To overcome the recovery issue an analytical method was set up. This method involves elimination of drug-excipient interaction by competitive inhibition followed by isocratic elution using a mobile phase consisting 0.01% o-phosphoric acid: acetonitrile (55:45v/v). Column used was Qualisil 5 BDS-C18 column (250mm x 4mm i.d., 5 µm particle size) and flow rate was 1mL/min. The detection wavelength was 257 nm. The retention time was found to be 3.821min. Linearity of the method was 10-70µg/mL. The validated method showed excellent results in terms of accuracy, precision and system suitability.
Antiinflammatory and Wound Healing Activity of Curcumin containing Phytosomes, Niosomes and Liposomes in rats
Authors: Singh Deepak , Upadhyay Prashant
Published: August 2023

Curcumin is obtained from Curcuma longa, it possesses various pharmaceutical activities like antiinflammatory, wound healing, anti-cancer, etc. But low aqueous solubility and stability problems limit its use in pharmaceutical formulations. Nanocarriers like phytosomes, niosomes, and liposomes improve solubility and stability problems of curcumin. Curcumin's anti-inflammatory and wound-healing properties were investigated in this study using nanocarriers (phytosomes, niosomes, and liposomes).