Reviewerly/exHarmony huggingface dataset:
Learning From How Humans Correct

&lt;p&gt;In industry NLP application, our manually labeled data has a certain number of noisy data. We present a simple method to find the noisy data and relabel them manually, meanwhile we collect the correction information. Then we present novel method to incorporate the human correction information into deep learning model. Human know how to correct noisy data. So the correction information can be inject into deep learning model. We do the experiment on our own text classification dataset, which is manually labeled, because we need to relabel the noisy data in our dataset for our industry application. The experiment result shows that our learn-on-correction method improve the classification accuracy from 91.7% to 92.5% in test dataset. The 91.7% accuracy is trained on the corrected dataset, which improve the baseline from 83.3% to 91.7% in test dataset. The accuracy under human evaluation achieves more than 97%.&lt;/p&gt;
Retracted: Construction of Pulmonary Embolism Prediction, Early Warning, and Precontrol MDT Collaborative Nursing Model Based on the Smith Model

[This retracts the article DOI: 10.1155/2022/2138826.].
Retracted: The Rise of Cloud Computing: Data Protection, Privacy, and Open Research Challenges—A Systematic Literature Review (SLR)

[This retracts the article DOI: 10.1155/2022/8303504.].
Retracted: Key Technology of the Medical Image Wise Mining Method Based on the Meanshift Algorithm

[This retracts the article DOI: 10.1155/2022/6711043.].
Comparison Of Accuracy Level Of Krisch And Prewitt Methods For Measurement Of Human Body Weight Using Digital Images

Current image processing provides an opportunity for humans to develop systems capable of identifying digital images. Edge detection is a process to produce the edges of an image object. The problem of this research is how to compare the level of accuracy of the Krisch and Prewitt method for measuring human body weight with digital images. The aim of this research is to compare the level of accuracy between the Krisch and Prewitt methods in measuring human body weight using digital images. This research uses an experimental method by taking images of the human body, cropping, resizing, and converting them into grayscale images. Next, edge detection was carried out using the Krisch and Prewitt method. Edge detection results are used to measure human body weight by calculating the pixel distance between certain points on the edge of the object in the image. The results of this study show that the Krisch and Prewitt methods have different levels of accuracy in measuring human body weight. Based on tests that have been carried out on 15 image data samples using the confusion matrix approach, where the accuracy level of the Prewitt method is 60% while the Krisch method is 40%. The conclusion of the research is that the Prewitt method has the best level of accuracy compared to the Krisch method
Peningkatan Minat Belajar Siswa Melalui Kegiatan Ranking 1 di Masa Pandemi Covid-19

The development of technology nowadays became one of the opportunities that can be utilized well by the society especially in the world of education. However, some of the students were not utilized these technology development as well as possible, it makes their interest in learning decreased. The decrease of the students' interests especially during the school from home (online learning) became one of the reasons of the dedication team which is the PPLSP students of Universitas Pendidikan Indonesia, Purwakarta Campus at UPTD SDN 1 Cipaisan Purwakarta held a program that can increase the students' interest in learning especially the students in the elementary school level, the program called Ranking 1. Ranking 1 is a competition program that be held via online using the Quizizz platform. Ranking 1 competition program, using the utility of the internet is necessary to increase students' interest in learning and improve students' awareness. The method that used in this dedication program is interactive quiz using IT Quizizz media. The result of this competition program became one of the efforts to increase students' interest in learning
COMPARAÇÃO DE RESULTADOS DE GERAÇÃO DE ENERGIA ELÉTRICA ATRAVÉS DE DIFERENTES BASES DE DADOS DE IRRADIAÇÃO

Due to the increasing energy demand, the alternative energy generation sources are becoming more popular. Because of its location, mostly an intertropical country, the photovoltaic generation in Brazil has a remarkable potential. The approaches to estimate these systems’ energy are many. This paper aims to compare the estimated generated energy and data from a real system, based in Curitiba, using three different methods: SWERA, INMET database and Paraná’s photovoltaic maps. The results obtained using the INMET database were the closest to the existing photovoltaic system (deviation of 0.5%), while the results obtained using the maps (Atlas Brasileiro de Energia Solar) had the greatest deviations (14.3%, 15.9% and 22.3%). The differences are explained as a reflex of the data acquisition: the maps data is an average, considering the last 10 typical and atypical years, of energy measures while INMET data is obtained in a solarimetric station in the studied real system’s location, during a shorter period. Hence, the INMET database, that shows closest results to the real system’s behavior, can be used to calibrate the installed photovoltaic system after its installation. However, for design and project purposes, it is still recommendable to use the Atlas Brasileiro de Energia Solar database, since its data has been collected for a wider period than the INMET database (4 years of data). It represents better the climate variations, which induces less deviation in the long term.
Retracted: An Efficient Model for Lungs Nodule Classification Using Supervised Learning Technique

[This retracts the article DOI: 10.1155/2023/8262741.].
Retracted: Impact of Activation, Optimization, and Regularization Methods on the Facial Expression Model Using CNN

[This retracts the article DOI: 10.1155/2022/3098604.].
CONCEPÇÃO E VALIDAÇÃO DE UM CONTROLADOR BASEADO EM LÓGICA DIFUSA, PARA GARANTIR PERPENDICULARIDADE AO SOL, ANALIZANDO OS PONTOS CRITICOS NO SINAL DE CONTROLE

The growing demand for energy, is caused by the exponential increase of the world population. The use of solar energy through photovoltaic and CSP technologies is also growing. In this last one, it is necessary to use systems to ensure tracking and positioning perpendicular of the sun, for medium and high temperatures. This is commonly done by modeling, getting the angles that x the sun perpendicular to the capture system. Studies show that the use of solar tracking increases the energy delivery efficiency between 15% and 40%. Several techniques can be used for solar tracking, one of which is based on the use of controllers that use fuzzy logic. These control strategies allow us to analyse complex processes and make decisions to ensure a more precise answer. Thus, this paper presents the configuration of a fuzzy logic based controller, developed in Labview tool Release 11.00. To ensure the position perpendicular to the sun. The controller was created by correcting the output function, being compared with the error, reducing the "overshoot maximum (Mp)" and the "setting time (Ts)" and thus obtaining the wake of "MPPT" of the energy generated by solar systems. A methodology known as analysis of the critical points, was used.
Estimation of Heavy Metals Content at Traffic Inter-Change Ita-Marun Epe Lagos State Nigeria

This study assesses the vehicular and traffic emission at Ita-marun Epe Lagos State. Road traffic area contains contaminants which affects human, animals and plants. Hence, the need to investigate the concentrations of these contaminants within the selected area. Three deposition gauges of 0.15 by 0.20 mm were planted at selected sampling site for 30 days between December 2021 and January 2022. The Lagos State University Epe campus was used as the control experiment for this research work. Deposition flux for each site was determined. The contaminants levels of the heavy metals in particulate matter were evaluated using the Enrichment Factor (EF) analysis. Deposition fluxes determined range from 31.8269-39.7836 g/m2/month at the sampling site while it ranges 42.3934-51.0567 g/m2/month at control site. Elemental analyses of all the samples collected were determined using the Energy Dispersive X-ray Fluorescence (EDXRF). EF reveals that 7 elements Ag, Cd, Cr, In, Mn, Sn, and Zn are highly enriched at sampling site while 6 elements S, Cl, Zn, Ge, As and W at the control site respectively. Results shows that fluxes at the control site were higher than that of the sampling site. EF also reveals that seven elements at the sampling site and six elements at the control site were anthropogenically derived. Due to the findings of this research, a clean-up of this area is highly recommended.
MODELAGEM COMPUTACIONAL DA SÉRIE TEMPORAL DA IRRADIAÇÃO GLOBAL HORIZONTAL ESTIMADA POR DADOS DE SATÉLITE

The item of greatest risk for a solar venture is imperfect knowledge of solar irradiation, due to the fact that there is no capillarity of measurement stations because it would be economically unfeasible to densify at the desired levels. Thus, it is standard in the market to seek or model data from satellite images because they have coverage of virtually the entire globe and long time series of over 20 years, however, they are subject to problems such as bias. The present work aims to develop models for estimating the long-term global horizontal irradiance levels GHI in the city of Patos in Paraíba (Northeast Region of Brazil) using satellite estimated data and fitting them with a time series measured at a high-performance solarimetric station during 01 year. The modeling was done through the methods: multivariate linear regression, Artificial Neural Networks (by use of Multilayer Perceptron approach or MLP) and machine learning (Support Vector Machine for Regression-SVR); implemented in Python language. To obtain better results, the datasets were preprocessed to identify and suppress gaps, remove outliers, synchronize the time series (satellite and terrestrial) and partition into 03 Kt bands. The following results were obtained: in the interval 0.0 &lt; Kt &lt; 0.35 there was improvement in all statistical indicators for the 03 methods and considering all the 04 metrics, the best approach was the MLP; in the interval 0.3 &lt; Kt&lt;0.70 there was no improvement (the differences are rounding errors) and finally in the interval 0.7 &lt; Kt &lt;1.1 there was a slight improvement in the MLP method.
VALIDATION OF 441 TYPICAL METEOROLOGICAL YEAR (TMY) CREATED WITH INMET/BRAZIL STATIONS DATA

Renewable energy sources are essential to solve the problem of scarcity of fossil fuels that we will face in the future, without compromising our quality of life. Yet, the deployment of these technology, especially solar energy, requires a detailed yield, economic and risk analysis to secure financing options. To do so, a set of specialized software (or tools) are used, requiring meteorological and irradiation data as input, known as typical meteorological year (TMY). Recently, our group generated 441 TMY files from the data of the largest weather station network in Brazil, operated by the National Institute of Meteorology (INMET). The authors used the BRL-Brazil separation model to estimate the diffuse and direct normal irradiance and applied the Sandia Method to generate the TMY files. Although the authors generated and provided TMY files across Brazilian territory, it lacks a thoroughly analysis of the accuracy of the generated TMY files and the original data of the INMET station. Cross-validation between the irradiance values in the TMY files and the irradiance data provided in the Brazilian Solar Atlas. The TMY were validated comparing the yearly and monthly means of daily GHI totals from the files against the values provide by the Brazilian Solar Atlas. Small differences were found, with TMY yearly means of GHI differing an average 2% in relation to the Atlas, with maximum deviations are not larger than 10%. Regarding the DNI and DIF values from the TMY, the deviations between the TMY and the Solar Atlas were significantly larger than the deviations found for GHI. This can be explained by the inherent uncertainty in DNI and DIF methods of estimations used to generate the TMY files (BRL-Brazil) and in the Solar Atlas (Brasil-SR). After this validation study, it can be said that Brazil has a database with TMY for 441 cities with known uncertainties, all of which can be used to support solar studies on a continental scale.
Computed Types

Now that we have a deeper appreciation of the fundamentals of TypeScript and how it works with the dynamic structurally typed language of JavaScript, we are ready for the real fun to start! In this chapter, we will explore a powerful feature of dynamic structural typing that is supported by TypeScript, called computed types. These advanced types take advantage of the runtime-typed approach of ECMAScript and JavaScript, making TypeScript's types even more dynamic and flexible than most statically typed languages, and are one of the paradigm’s most powerful features.
Cybersecurity Training for Users of Remote Computing

End users of remote computing systems are frequently not aware of basic ways in which they could enhance protection against cyber-threats and attacks.In this paper, we discuss specific techniques to help and train users to improve cybersecurity when using such systems.To explain the rationale behind these techniques, we go into some depth explaining possible threats in the context of using remote, shared computing resources.Although some of the details of these prescriptions and recommendations apply to specific use cases when connecting to remote servers, such as a supercomputer, cluster, or Linux workstation, the main concepts and ideas can be applied to a wider spectrum of cases.
Blockchain Technology: Its Application in the Financial Sector and Cryptonomics

Blockchain, the technology behind bitcoin, is revolutionizing various aspects of life, particularly in the finance sector. This study aims to bridge the gap between blockchain and its applications in the financial industry. It explores the concept of Cryptonomics, wherein cryptocurrency miners and users seek to transform the current financial payment structure into digital currency. The study draws information from academic and non-academic sources, utilizing qualitative analysis. Through informative articles, the paper examines the blockchain and cryptocurrency markets, providing readers with up-to-date developments. Numerous ongoing studies and financial use cases demonstrate the numerous advantages of blockchain technology. However, challenges related to security, regulation, and industry application persist alongside its efficiency and self-governance benefits. The paper presents case studies of technology and financial companies utilizing blockchain applications in their business processes and suggests potential future directions for further exploration. Overall, this research sheds light on the transformative potential of blockchain in the financial industry.
A dramatistic analysis of Indonesian influencers' statements in responding to sexual harassment allegations

This article aims to dig deeper and reveal the rhetorical strategies of three influencers who are alleged sexual harassment perpetrators in their statements on social media. Social media has given a way for sexual harassment victims to expose their perpetrators, including those who are public figures. However, the alleged perpetrators are also given the same platform to share their statements. Recently, there have been many sexual harassment allegations against social media influencers and celebrities. These public figures then used the same social media platforms they were already familiar with to publish their statements. The study uses qualitative assessment and observation on video statements from Indonesian influencers, Billy Joe Ava, Gofar Hilman, and Niko Al Hakim. Analyses were made based on Kenneth Burke’s Dramatism theory, defining the pentadic elements, and assessing the guilt and redemption approach, as well as the identification strategy. Findings from the assessment reveal that in addressing the allegations, two pentadic elements are dominantly used, agent and scene, with the aim of identifying themselves with the audience, providing a background of the accusation, and hence maintaining influence on their audience. Moreover, scapegoating is the main redemption strategy, with variations in the chosen scapegoats.
Pengembangan Sistem Smart Village Berbasis Internet of Things untuk Meningkatkan Kualitas Hidup di Desa

Internet users in Indonesia reached 55% or more than half of Indonesia's population, while the tools used to access the internet are dominated by smartphones, as much as 60%. These make the internet and smartphones one of the technologies that can be used further. Internet of Things is one of the technological developments in the internet field that can be used in building smart villages. A smart village is an innovative village that seeks to improve its citizens' quality of life, efficiency, and competitiveness by utilizing information and communication technology (ICT). Simdesapp is an intelligent village application that was built to display information obtained from the previously built smartpole hardware—using the Extreme Programming method as a system development method through several stages such as planning, design, coding and testing. The features contained in the software are monitoring temperature, humidity, air quality, panic buttons for emergencies, and early warnings for disasters such as land fires and earthquakes. In contrast, other features in the software are the history of each resident's illness, schedule Posyandu, patrol schedules, profiles of each resident, and village website containing profiles and village potentials.
Need Analysis of English for Specific Purposes at SMK 01 Bombana

The aim of this study is to analyze the needs of students for English for Specific Purposes (ESP) and to find out how to learn ESP in accordance with TKRO department at SMK 01 Bombana. The respondents of this study were grade 12 TKRO students with a total of 35 students. This study used the Needs Analysis theory of Hutchison and Waters (1987), which divided it into 2 namely, target needs and learning needs. The instruments used to collect data were questionnaires and a following up interview. The results of this study show that students TKRO department need ESP to support their future work, with the most needed language skills being speaking and reading. Students need speaking sksills to do presentations in English (about vehicle breakdowns, vehicle repairs, how tools work or inventions) and need reading skills for most students need the skills to help understand the reading in the automotive tool manual (instructions). The final result of this research can be an illustration for English teacher to create syllabus and materials relevant to TKRO department. In conclution, the TKRO student in SMK 01 Bombana needs speaking skill and reading skill in future job.
Penerapan Kinerja Filter Rule dengan Metode Raw dan Layer 7 Protocol di Router Mikrotik

This research aims to improve the security and efficiency of network use in government environments, especially in relation to access to social media sites. This research also aims to implement a healthy internet and avoid the negative impacts that come from pornographic websites. The research method used in this research is state general problem, conduct literatur research, desain methodology, implementation,analyze data, and report result. The results of this research show that the implementation of Filter Rule Performance using the Raw Method and Layer 7 Protocol on the Mikrotik Router at the Communications and Information Service of North Sumatera Office has been successful. Filter Rules with the Raw method are used to process packets before Connection Tracking is carried out, so that they can reduce the load on the CPU. Meanwhile, Layer 7 Protocol is used to perform filtering based on the application protocol used in data packets. However, using the L7 Filter Rule also has a weakness, namely that it can consume Router resources if used for Filtering all types of Traffic.Keywords: Filter Rule, Raw Method, Layer 7 Protocol, Router Mikrotik
The factors that affect the understanding of reading in elementary school

&lt;span lang="EN-US"&gt;Reading comprehension is one of the four language skills in language learning that must be possessed by every human being, especially students. These skills include speaking, reading, listening, and writing. In the elementary school environment, understanding reading in Indonesian is a challenge for students whose mother tongue is Sundanese. Students with different ethnic backgrounds have distinctive learning styles and language learning strategies. This study used 100 students in class V, consisting of 50 students from SD Negeri Sempur and 50 students from SDN Tanjungsari, as respondents who filled out the questionnaire, which was analyzed using SEM-PLS. This study shows that there are factors that do not affect reading comprehension skills in fifth grade elementary school students at SD Negeri Sempur and SD Negeri I Tanjungsari, namely language aptitude, self-efficacy in language learning, and self-regulation in language, because of the construct path with a T value. Statistics below 1.96 with a p value greater than 0.05 mean that the path is declared to have no significant effect.&lt;/span&gt;
Media animasi Powtoon: meningkatkan literasi digital guru

This research aims to investigate the influence and effectiveness of using Powtoon animated media on teachers' digital literacy skills. The research approach is quantitative with an experimental design called one-group pretest-posttest design. the research population consists of all the English language teachers who are part of the MGMP in the Lima Puluh Kota District. The research sample comprises 19 teachers selected using random sampling techniques. The instrument used is a pretest-posttest exam, which will be analyzed using a paired sample t-test and N-gain score. The paired sample t-test resulted in a significance value (2-tailed) of 0.000, where the significance value (2-tailed) is less than the significance level of 0.05. The N-gain score test yielded a score of 0.4, which falls into the moderate category. This research concludes that Powtoon animated media has a significant influence and is effective in enhancing teachers' digital literacy skills. This research has a positive impact on the effectiveness of digital literacy among teachers in using Powtoon animation media.