Reviewerly/exHarmony huggingface dataset:
Growing Together: Modeling Human Language Learning With n-Best Multi-Checkpoint Machine Translation

We describe our submission to the 2020 Duolingo Shared Task on Simultaneous Translation And Paraphrase for Language Education (STAPLE) (Mayhew et al., 2020).We view MT models at various training stages (i.e., checkpoints) as human learners at different levels.Hence, we employ an ensemble of multicheckpoints from the same model to generate translation sequences with various levels of fluency.From each checkpoint, for our best model, we sample n-Best sequences (n = 10) with a beam width = 100.We achieve 37.57 macro F 1 with a 6 checkpoint model ensemble on the official English to Portuguese shared task test data, outperforming a baseline Amazon translation system of 21.30 macro F 1 and ultimately demonstrating the utility of our intuitive method.
Automatic classification of peripheral blood smear cells by the example of lead poisoning

Automatic classification of peripheral blood smear cells by the example of lead poisoningThe first symptoms caused by heavy metals poisoning are usually non-specific, therefore their diagnosis requires specialized knowledge and experience.Incorrect diagnosis can lead to various disorders and irreversible changes in patient's health.Lead poisoning is one of the heavy metals poisoning which is associated with nonspecific symptoms and may cause a broad range of biochemical, physiological and behavioral disfunctions.Lead is commonly found in industry and manufacturing and in 2017, lead poisoning caused over a million deaths worldwide.Due to nonspecific symptoms, lead poisoning is often diagnosed too late or incorrectly.Early symptoms are headache and stomachache, which potentiate with metal concentration.Lead poisoning increasing risk of anemia due to inhibition the ability to produce hemoglobin by interfering the heme biosynthesis pathway and decreasing red blood cell survival.Because of regularly occurred disorders of hematopoiesis and the presence of atypical cell in smears, diagnosis of lead poisoning that gives relevant information is bone marrow and peripheral blood smear study.The manual smear test made by qualified technician involves the evaluation of the preparation by using an optical microscope.Manual microscopic examination of blood cells is time-consuming and subjective.Automation of this process would enable to reduce the risk of human failure and solve the problem with lack of professional staff.Traditional machine learning is the most popular approach to automating microscopic smear testing.This method consists of the following stages: microscopic image acquisition, preprocessing, cell segmentation, feature extraction, followed by classification into types, artifacts and atypical cells.This work presents the recent methods proposed to automate the analysis of peripheral blood and bone marrow smears using traditional machine learning methods.A review of different machine learning methods was carried out, focusing on the presentation of an algorithm for the construction of automatic blood cell classifiers.
End-to-End Speech Translation with Adversarial Training

End-to-end speech translation usually leverages audio-to-text parallel data to train an available speech translation model which has shown impressive results on various speech translation tasks.Due to the artificial cost of collecting audio-to-text parallel data, the speech translation is a natural low-resource translation scenario, which greatly hinders its improvement.In this paper, we proposed a new adversarial training method to leverage target monolingual data to relieve the lowresource shortcoming of speech translation.In our method, the existing speech translation model is considered as a Generator to gain a target language output, and another neural Discriminator is used to guide the distinction between outputs of speech translation model and true target monolingual sentences.Experimental results on the CCMT 2019-BSTC dataset speech translation task demonstrate that the proposed methods can significantly improve the performance of the end-to-end speech translation.
Correction to: Progressive Pricing: The Ethical Case for Price Personalization

The article Progressive Pricing: The Ethical Case for Price Personalization, written by Jerod Coker and Jean-Manuel Izaret, was originally published electronically on the publisher’s internet portal on 4 June 2020 without open access. With the author(s)’ decision to opt for Open Choice the copyright of the article changed on 15 July 2020 to © The Author(s) 2020 and the article is forthwith distributed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
COMPARISON OF TWO FORECASTING METHODS IN TIME SERIES DATA WITH SEASONALITY

This paper describes two forecasting methods in time series data with seasonality.The first method is an exponential smoothing model (parametric model) and the second forecast method is a machine learning model (artificial neural network model).We used a time series data with seasonality such as sunspot number data to evaluate the models.Our experiments show that the second forecast method has a better result in the sunspot data.We have also understood the difficulty in the modeling and implementation of those methods to forecasting and discuss their use in a real world application.Correlation of low season of sunspots and the low market prices is also observed.
Plasma light as one of the New lighting techniques in the Cinema and Television

Plasma light is a green light with a super high power efficiency, with a very long-life compared to any light source. Plasma light has no filament, nor does it has electrodes. One of the essential features of plasma light is that it does not emit carbon dioxide. In fact, it is identical to today’s high-speed cinematography and as it is a flicker free, it is seen as better than HMIs lights. Plasma light comes with many varieties which gives the lighting designer the freedom of painting with light. It can be used in lighting green screens, especially if a person wants to mimic outdoor shooting, because it has super high power with less power consumption. It can also play a vital role in shooting for establishing shots which requires lighting sources with very high outputs so plasma light can solve this dilemma easily. It does not also create noise like HMIs lights. Plasma light gives a more natural look than any LED lights with a very high color rendering index of +94. Plasma light can be used as a cool moonlight, which fits with the modes of fantasy films. Plasma is the perfect lighting for a high-speed camera which will revolutionize the language of the visual grammar of cinema
Associations between Pathological Internet Use and Depression, Anxiety, and Suicidality among College Students

Background:The Internet has become an important global tool used by diverse age groups, especially adolescents and young adults.However, in South Korea, studies on the prevalence of pathological Internet use (PIU) among college students are limited to being compared with those involving adolescents.Therefore, in this report, we assessed the pervasiveness of PIU and its related factors among college students.Methods: Data were collected from 1,390 college students.PIU was screened using the Self-Report Scale for Measuring Behavior Symptoms of Adults' PIU.We analyzed the associations between PIU and depression, anxiety, and suicidality.We also used the self-report questionnaire to assess sociodemographic and other clinical factors.Results: Of the total number of participants, 16.8% (n=234) were identified as problematic Internet users.Univariate analysis revealed significant associations between depression, anxiety, suicidal behavior, and PIU.Multivariate analysis further showed a significant relation between unsatisfactory school life (odds ratio [OR], 2.56; 95% confidence interval [CI], 1.06-6.15;p=0.036), depression (OR, 1.67; 95% CI, 1.03-2.71;p=0.036), and anxiety (OR, 3.36; 95% CI, 1.91-5.93;p<0.001) with PIU.Conclusion: Depression, anxiety, and suicidality are common in individuals engaged in PIU, with a complex interrelation.Further studies are required to clarify the mechanisms of PIU and develop preventive and treatment strategies.
PEMEROLEHAN POLA DASAR KALIMAT ANAK USIA 3;0-4;0 TAHUN (TINJAUAN PSIKOLINGUISTIK) SERTA IMPLIKASINYA TERHADAP KEMAMPUAN BERBAHASA ANAK USIA DINI (AUD)

The purpose of this study is to, (1) to describe the pattern of sentence children aged 3;0-4;0 years, (2) describe the form of speech children aged 3;0-4;0 years, (3) describe the form of implications for the development of language skills early childhood (AUD). This type of research is descriptive qualitative research method. based on the data analysis we can conclude the following matters as this. First, the sentence pattern diujarkan by children aged 3; 0-4; 0 years is. P (Predicate), S-P (Subject-Predicate), S-P-O-Pel (Subject-Predicate-Object-Complement) and S-P-O-Ket (Subject-Predicate-Object-Specification). Second, the form of speech children aged 3;0-4;0 year consists of speech one word, two words, three words, four words and five words. Third, the form of implications for the early childhood language skills.
Penerapan Metode Cooperative Integrated Reading Compasition untuk Meningkatkan Motivasi dan Hasil Belajar Bahasa Indonesia Kelas X-IPS 2 SMA Negeri 1 GemolongTahun Pelajaran 2019/2020

The purpose of this research is to describe, explain implementation Cooperative Integrated Reading Compasition learning model and with that learning model application to increase motivation and resultto study bahasa Indonesia for the student of X IPS 2 SMA Negeri 1 Gemolong.This research is class action research which executed in 2 cyles or two meeting and every meeting consist of planning, action, observation, and reflection.This subject of research is the students of X IPS 2 SMA Negeri 1 Gemolong at semester 1 period 2019/2020.Data source is abtained by teacher, student, place, and learning activity and documentation event be helding.Technique and data's gathering devide use observation.The data's validity uses data source triangulation.Data's analysis uses qualitative analysis.The result of research
Faktor Yang Berhubungan Dengan Kepatuhan Minum Obat Pasien TB Di Wilayah Kerja Puskesmas Parongpong

Background: Everyone has a risk of contracting tuberculosis, this disease also develops rapidly in areas that have high humidity. Mycobacterium is infecting through droplets released by the patient. TB treatment is a long-term treatment which medication is consumed every day, to achieve success in treatment requires adherence from patients to consume drugs.Objective: this research is to find out the factors that influence medication adherence of TB patients in Parongpong Health CenterMethod: Methodology of The study used is a quantitative research design with a correlation approach involving 23 respondents who are undergoing treatment at the Parongpong Community Health Center, respondents selected using purposive sampling. The instrument in this study was a questionnaire that was analyzed using the Spearman rho.Result: From the results of data analysis, it was found that gender had a significant relationship with medication adherence. The four factors studied have a significant relationship to medication adherence with p values &lt;0.05, closeness of knowledge relations (0.620), self-stigma (0.467), self-efficacy (0.494), and family support (0.482)).Conclution: Respondents' knowledge is the most dominant factor in influencing medication adherence. Researcher given advice is to maintain adherence to take medication until the completion of the treatment program, to increase the cure rate of TB patients
UPAYA MENINGKATKAN HASIL BELAJAR SISWA PADA MATA PELAJARAN MATEMATIKA DENGAN MENGGUNAKAN MODEL PEMBELAJARAN KOOPERATIF TIPE JIGSAW DI KELAS V SD NEGERI 050600 KUALA LANGKAT TAHUN PEMBELAJARAN 2017/2018

This study aims to (1) improve mathematics learning outcomes by using jigsaw type cooperative learning model in grade 5 students of SD Negeri 050600 Kuala Langkat Learning Year 2017/2018. (2) Describe the constraints encountered by using jigsaw type cooperative learning model to improve mathematics learning outcomes. The results of this study indicate an increase in student learning outcomes on subjects mathematics material KPK and FPB class V Elementary School 050600 Kuala Langkat. This is evident from the results of research conducted on the pretest of students who got the complete value of 5 people or 21.73% while the students who did not complete as many as 18 people or 78.27%. Then continued research research on the first cycle of students who got the complete value of 14 people or 60.86% while the unfinished students as many as 9 people or 39.14%, then there is an increase in increase in cycle I compared to pretest. But this does not meet the specified category of mastery. Then proceeded on the second cycle of students who get a total score of 20 people or 86.95% while students who are not complete as many as 3 people or 13.05%, then an increase in cycle II compared to cycle I and has fulfilled the specified mastery . Furthermore, teacher activity on observation cycle I obtained an average of 60% and in cycle II increased to 78%. While the student activity on the learning process obtained an average of 58% and in the second cycle has increased to 84%. Thus obtained the conclusion that by using cooperative learning model type jigsaw on subjects mathematics material KPK and FPB in class V SDÂ 050600 Kuala Langkat can improve student learning outcomes. Therefore it is suggested for subsequent learning to use cooperative learning model of jigsaw type so that student learning result can increase
Discussion on the Construction of the Marriage Long-term Cooperation Mechanism of School and Enterprise in Vocational Education

This paper comprehensively analyzes the problems in the integration of industry and education in vocational education at present, and points out that the root of the problems lies in the failure to properly handle the relationship and positioning among school, enterprise and government, and to face up to the differences in the value orientation of the three. This paper holds that the key to solve many problems in the integration of industry and education is to build a marriage long-term cooperation mechanism of school and enterprise. It puts forward some suggestions on how to build a marriage long-term cooperation mechanism of school and enterprise, that is, to build a marriage long-term cooperation mechanism of school and enterprise through the specific measures of "relying on talent training, project cooperation as the link, policy funding as the guarantee, and laws and regulations as the constraint".
SISTEM PAKAR DIAGNOSA KERUSAKAN MOTOR YAMAHA NMAX MENGGUNAKAN METODE FORWARD CHAINING

The recruitment of new mechanics at Mataram Sakti is no longer through the training process at the head office, but new mechanics are placed at the dealership accompanied by the chief mechanic as a supervisor, with the aim of providing training to new mechanics in order to be able to service or periodically repair Yamaha products especially the latest motorbikes namely Yamaha NMAX, because of the flurry sometimes the mechanical head is not in place so that when the mechanic is experiencing problems it cannot directly ask the mechanical head causing the handling of repairs to be less effective and efficient.&#x0D; One way to overcome this is to create a web-based expert system application with a forward chaining method so that the chief mechanic can transfer the knowledge he has into the computer. Forward chaining method is a search technique that starts with known facts and then matches these facts with the IF part of the IF-Then rules, so that conclusions can be drawn. This expert system was built using supporting software including, Macromedia Dreamweaver MX, PHP script language, MySQL database and WAMP server.&#x0D; The expert system for diagnosing damage to Yamaha NMAX motorcycles using the forward chaining method can be used as a new mechanical learning media in diagnosing damage to NMAX motorcycles and as a means of chief mechanics transferring their knowledge.
ANALISIS TINGKAT KEPUASAN PESERTA DIDIK DALAM MENGGUNAKAN E-LEARNING DI SEKOLAH DASAR

Services in both academic and non-academic very important in achieving learning objectives. The availability of learning facilities consisting of e-learning can be a learning resource that can be used by students in learning. This study aims to analyze the level of participant satisfaction in using e-learning at the elementary school level. The method used is a quantitative method using a questionnaire to respondents. While the learning management system (LMS) used is Edmodo. The sample used was class VI as many as 31 students in SDN 3 Dasan Lekong. The results of the study were as many as 5 people or 16% were very satisfied, 23 people or 74% were satisfied, and 3 people or 10% less satisfied were quite satisfied in using e-learning. While there were no students who stated they were not satisfied in using e-learning. Student satisfaction is a form of desires, hopes and needs of students can be met. This is intended as the desires and expectations of students about the use of e-learning obtained from students' responses have been good.
ARTIFICIAL INTELLIGENCE IN ENGINEERING AS A FACTOR INFLUENCING A CHOICE OF STUDIES AT VOCATIONAL SCHOOL AND FUTURE CAREER IDEAS OF STUDENTS

As regards the field of mechanical engineering, artificial intelligence covers the use of digital technology, automation and robotisation and creates conditions for the digital connection of production processes, which has been called the fourth industrial revolution, and all such functioning processes represent Industry 4.0.Nowadays, global producers of mechanical engineering technology offer the so-called smart technologies, covering all kinds of modern technologies for metal machining, which are at the heart of every industrial production.The aim of this study was to examine whether the current possibilities of automation and robotisation as components of artificial intelligence in the engineering production influence the choice of a secondary school in primary school pupils and the extent of pupils' preference to apply digital technologies in the engineering production in their future work.The study also investigated whether respondents' answers are influenced by the year of study at secondary school and their subjectively assessed level of digital competences.The analysis of answers from 320 pupils from two secondary mechanical engineering schools showed that almost 40 % of pupils were positively influenced by the possibilities of automation and robotisation in the engineering production and 70 % of respondents wish their work would be related to the application of digital technologies in the engineering production to at least a certain extent.Using the chi-squared test, we found out that the motivation when choosing a secondary school based on the possibility to use automation and robotisation in the engineering production has a significant impact on students' wish to work with digital technologies in their future work.The same test also proved a significant dependency between pupils' self-assessment of digital competences and their wish to use digital technologies in their future work.
Common Categories and Data for Application Interoperability

Millions of applications from several categories of application marketplaces are used by billions of users on their devices like Smartphone, Tablet, Phablet, Smart TV, Notebook etc. around the world.These applications serve the users on different segments like education, health, finance, business, entertainment, shopping etc.The sharing of data between these applications would be more beneficial to the users when they use these diverse devices together in their home network.This paper presents all categories of applications available on popular application marketplaces and the common data types that can be shared across these applications in a home network using UPnP in which application interoperability is achieved by extending the UPnP Device Architecture.This paper also discusses about the common data formats, data transfer formats, data communication medium and data flow which can be used to achieve communication between these diverse applications in a home network.
Blogger: New Media Relations Strategy in Corporate Communication

The presence of the internet that result to new media such as social media provides a new trend in conveying corporate's messages to the audience.This new trend has brought a transformation in the context of corporate communication to create a new strategy by making bloggers as media partners for endorsement.Engagement with bloggers is part of the corporate's media relations strategy which currently becomes more increasingly complex due to the emergence of diverse and real time media platform choices.In fostering relations with the media, corporates must have a strategy in choosing the right channel.Data collection was conducted through interviews with selected informants with the criteria: Blogger, Blogger Community Founder, Blogger Agency, and Corporate Communication.The results of this study reveal a transformation from old media relations to new media relations through selected bloggers who become corporate's media partners.Selected and effective bloggers in endorsement are those who meet the criteria needed by the corporate, such as quality of writing, interactivity in social media, the ability in Search Engine Optimization (SEO) and Page Rank.
SISTEM MONITORING AGEN PADA XAVIER MARKS REALTY SURABAYA

Xavier Marks Realty is a company engaged in property marketing.The company runs, several obstacles prevent the leadership to make decisions.The availability of information needed by the leadership is very slow because each agent still has to enter sales closing data manually through the admin not directly.The purpose of this research is to create an effective monitoring system, as well as to accelerate the availability of information for leaders.The results of this study can be in the form of an agent monitoring system that can update property sales data directly through an agent without filling in manually and inputted through the admin.Earnings reports from agents and companies will be directly received by the leadership, thus cutting down the admin's performance.The system can display sales developments so that each agent can improve its performance and the leader can monitor directly the agent.