Reviewerly/exHarmony huggingface dataset:
PENGARUH KEGIATAN LITERASI PADA PENINGKATAN MINAT BACA SISWA SMA

The influence of literacy on increasing reading interest is the purpose of this study in order to find out the results of literacy activities carried out. This type of research is descriptive qualitative research. Sources of research data are teachers and students, as well as library officers and research data using data collection techniques, by means of interviews, observations, and questionnaires given to students. Analyzing data using interactive methods including data collection, data selection, data presentation, drawing conclusions and checking data. Based on the data that has been collected, described, and analyzed. The author can draw the conclusion that 1) the influence of literacy activities is able to make students have an interest in reading activities 2) the results of literacy activities seen from library visitors, the results of literacy programs, and questionnaire answers that show high school students know the meaning of literacy 3) there are obstacles in the program of literacy activities but can be handled easily.
Towards Automatic Synthesis of Motion Effects

Motion effects are a key component to improve users’ immersiveness in 4D contents and virtual reality. However, the production of motion effects is still very labor-intensive and time-consuming. In this demonstration, we present synthesis algorithms which generate motion effects by analyzing the audiovisual content of 4D ride and films. Our synthesis algorithm provide compelling multimedia experiences to viewers while greatly improving the productivity.
Upaya Peningkatan Motivasi dan Hasil Belajar Siwa Kelas XI IPS 1 SMA N 3 Boyolali Materi Kebijakan Moneter Melalui Penerapan Metode Pembelajaran Student Team Achievement Division (STAD) Tahun Ajaran 2018/2019

The purpose of this study was to find out: 1) To determine the increase in student learning motivation towards the use of the student method of Economic lesson achievement division (stad) monetary policy material for students of class XI IPS 1 SMA N 3 Boyolali .; 2) To determine the increase in student learning outcomes on the use of the student method of Economic lesson achievement division (stad) monetary policy material for students of class XI IPS 1 Boyolali High School 3. This research includes the type of action research model. The subjects of this study were students of XI IPS 1 SMA N 3 Boyolali class of 2018/2019 as many as 37 students. Data collection techniques using tests, documentation, interviews and observations. The results of the study show that the application of Student Team Achievement Devision (STAD) Learning Method can increase the Motivation and Learning Outcomes of Students of Class XI IPS 1 in SMA N 3 Boyolali Academic Year 2018/2019. The average score of student learning motivation increased to 74.66% in the first cycle from 48.46% in the initial condition. The average score of Learning Motivation increased by 9.46% from the average Learning Motivation first cycle at 74.66% to 84.12% in the second cycle. Economic learning outcomes also increased from 73.85 in the initial conditions increased to 74.86 after the first cycle, then increased to 91.62 after the second cycle. The average learning outcomes which reached 91.62 have exceeded the KKM of 70 16.77% from first cycle of 74.86% to 91.62% in second cycle with no more students who scored under the KKM (70).
Expression of Concern: Estimation of the laser cutting operating cost by support vector regression methodology

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Be ready to address top trends in campus safety

What campus security topics should you focus on to be ready for the future?
Object Counting Based on Density Using Perspective Transformation

This paper presents a framework to count objects in images with perspective issues. The counting framework based on density estimation of the two authors Victor Lempitsky and Andrew Zisserman [1] produces excellent results in counting objects that are severely overlapped. However, the framework does not address the perspective issues, which frequently happen in many situations. It assumes that the subjected objects have the same size in every location of the images. Therefore, we propose a perspective model and integrate it into the existing density estimation framework to reduce the error caused by perspective distortions. In order to generate the perspective model, the heights of some objects are collected in addition to their locations to learn a perspective map. Using the map, we estimate the heights of the objects based on their positions in the images. The framework is adapted to exploit the height information of objects to customize the size of the normalized 2D Gaussian kernel, which is used to generate the ground truth density of images, and the size of the Gaussian window when computing the Scale- Invariant Feature Transform (SIFT) features. The adapted framework is then applied to count the number of motorbikes in Hanoi streets. The results are later compared with the ones produced by the original framework to see the effectiveness of our proposed solution. Our proposed framework performs better in high-density images while maintaining competitive accuracy in low-density images.
Extensible Declarative Management of Cloud Resources across Providers

Tags and labels are annotations on resources in many commercial public cloud models. Little is known about the extent of tagging in commercially relevant settings and there is an absence of automated software to handle tags. We show that by introducing an extensible tag management middleware based on cloud functions, tags can be turned into a powerful declarative means of cloud management. Our universal connector middleware is demonstrated by a typical deployment administration scenario involving both AWS and Google Cloud Platform services.
Student's Strategy In Learning Vocabulary at English Department of STKIP PGRI

This research was conducted to: (1) To examine the vocabulary learning strategies (2) To find outÂ the most and the least vocabulary learning strategies that used by the (3) To analyze the factors affect the students in choosing the vocabulary learning strategy of English Language Education Program at STKIP PGRI Sumbar. The research applied a descriptive research; the population of this researchÂ Â wasÂ Â theÂ Â eighth-semesterÂ Â studentsÂ Â inÂ Â academicÂ Â year 2017/2018. The samples of this research were 49 students chosen by using total sampling technique. The data were analyzed by using descriptive analysis and used Power score and estimate stage for Academic vocabulary. The research result showed that (1) the studentsâ€™ vocabulary proficiency; it was classified as late gradation. It can be said that most of the students are in late gradation in percentage 60.71% and only less students who get early gradation. (2) the most learning strategy mostly used by the students was Consolidation learning strategies in learning vocabulary on percentage 40,81% students . (3) Some factors affect the choosing of vocabulary language learning strategies were found. It was found that the late gradation students chose Memory learning strategies as their strategy in learning vocabulary because of believe, motivation and learning experience. It can be concluded that the studentsâ€™ learning strategy affected their proficiency in vocabulary.
A Proposal of Interactive Contents for Prevention of Smartphone Overdependence

IoT technology application has been part of modern people’s everyday life. This technology makes people to depend on smart devices. ‘Smartphone’ is the most typical example. Despite the advantages given by this device, the bad side effects are also notable. This paper presents interactive content on the dependence of smartphone device. The research objective is to make individuals to reduce the use of smartphones by realizing their own problems of smartphone dependency. Research was progressed by analyzing aspects obtained from users participating in the self-developed interactive game contents. As a result of the analysis, approximately 68% of people were aware of the problem through this content. This indicates the potential of using convergence research in interactive contents with other fields furthermore.
Perintah Kontrol Gerak Kursi Roda Elektrik Menggunakan Sensor Elektromiograf

Paralysis is a disease that can limit the mobility of the sufferer.One solution that can help people with paralysis in carrying out their mobility is the use of an electric wheelchair.In this study, an electric wheelchair with specifications where the wheelchair motion control uses muscles on both arms, so that the electric wheelchair is very suitable for patients with paralysis in the legs and weak hand strength in turning the wheels from the wheelchair.The input of motion control commands is carried out through an electromyograph sensor mounted on the flexor muscle in both patients' arms.The output of each sensor is given a threshold of 2 volts to distinguish control commands or not.When the sensor output is more than the same as the threshold, it is considered logic one and the other is considered logic zero.The method is used to interpret the output as a control command by impulse detection.The electric wheelchair movement that can be done is forward, turn right, and turn left.
A Preventive Approach for Fall Injury Innovative Integration of Chinese Tai Chi and Mat Dance

The purpose of this study is to design daily training method act as a drill, in preventing fall injuries for versatile people, by applying the traditional Chinese Tai Chi with mat dance. These daily training approaches are designed specifically integrated with some selected mat and dance exercises for fall injury prevention, taking the major safety principles of Tai Chi; such as awareness of Yin and Yang, sensibility, flexibility, and sustainable connection in circular motion.
EXAMINING THE TEACHERS USE OF INSTRUCTIONAL RESOURCES IN TEACHING AND LEARNING READING WITH THE GRADE THREE PUPILS IN NAIROBI COUNTY, KENYA

Reading skills are vital to lower primary school pupils because it is the foundation for learning. However, studies worldwide indicate low levels of reading skills in schools and little has been done to find out how different instructional strategies used in lower grade schools influence learners’ acquisition of reading skills. The purpose of this study was, therefore, to establish the use of instructional strategies and resources on acquisition of reading skills among Grade Three Pupils in Embakasi, Nairobi County, Kenya. The research was guided by Robert Gagne Instructional Theory. The study results imply that instructional resources being scarce, the acquisition of reading skills in the study county could not be possible. The study recommended that MoE should provide refresher courses to teachers on teaching methodologies that would improve reading skills among the Grade Three pupils. Article visualizations:
Creating Data-Driven Ontologies : An Agriculture Use Case

The manual creation of an ontology is a tedious task. In the field of ontology learning, Natural Language Processing (NLP) techniques are used to automatically create ontologies. In this paper, we present a methodology using data-driven techniques to create ontologies from unstructured documents in the agriculture domain. We use state-of-the-art NLP techniques based on Stanford OpenIE, Hearst patterns and co-occurrences to create ontologies. We add an NLP-method that uses dependency parsing and transformation rules based on linguistic patterns. In addition, we use keyword-driven techniques from the query expansion field, based on Word2vec, WordNet and ConceptNet,to create ontologies. We add a method that takes the union of the ontologies produced by the keyword-based methods. The semantic quality of the different ontologies is calculated using automatically extracted keywords. We define recall, precision and F1-score based on the concepts and relations in which the keywords are present. The results show that 1) the method based on co-occurrences has the best F1-score with more than 100 keywords; 2) the keyword-based methods have a higher F1-score than the NLP-based methods with less than 100 keywords in the evaluation and; 3) the combined keyword-based method always has a higher F1-score compared to each single method. In our future work, we will focus on improving the dependency parsing algorithm, improving combining different ontologies, and improving our quality evaluation methodology.
Tracer Study Alumnus English Department at UIN Antasari Banjarmasin

Tracer Study is one form of studies that can provide valuable information to evaluate educational outcomes of an institution. Tracer Study can provide structural data on jobs and careers, alumni experiences, and quality improvement of study programs. The type of this research is tracer study, that is, trace study of alumni to obtain information that is used as input to improve learning process and increase the relevance of graduate competence with work world needs. This research used cross sectional approach with total sampling method. Data collection techniques using questionnaires sent via e-mail, whatsApp and submit directly. In this research almost all respondents have got job. A total of 23 respondents have worked as teacher and 11 respondents work in private sector and 1 respondent continue education. The level of satisfaction of alumni is quite good. The average scores given by those employing alumni is satisfied. Most of the respondents who have work is teacher. the level of satisfaction of alumni to competency or service provided is satisfy.The level of user satisfaction is satisfy as well.
Minat Membaca dan Motivasi Belajar Dalam Meningkatkan Indeks Prestasi

This study aims to determine the Effect of Reading Interest (X1), Learning Motivation (X2) and is in the process of determining Reading Interest (X1), Learning Motivation (X2) Against Learning Achievement Grade XI IPA2 Students in Sorong 1 Public High School (Y) ) This type of research is Ex post facto. Purposive sampling is a sampling technique used in this study. The interest and motivation of learning to read have a significant influence on the achievement index of students in class XI IPA2 of Sorong City Senior High School 1, respectively at 70.1% and 67.6%. Taken together the interest in reading and learning motivation has a significant influence on the achievement index of students in class XI IPA2 in Sorong City 1 Public High School, amounting to 74.8%.
Ultimate Google Domains Review. Find Out What Sets it Appart

By the end of this review, you may realize that Google Domains, while adding a small bit of complexity to your website building efforts, is the best thing you have never heard of. Currently in Beta, this service is not only reasonably priced but offers perks you can't get anywhere else (for free). Buying domains from Google, or using Google as your domain registration agent, may be something you choose to do even if you don't want to build a website. The largest perk of registering a domain through Google Domains is the ability to create new, custom email addresses that integrate fully with Gmail and the rest of the G Suite.
F137. Detecting Emotion From Passively Recorded Speech Segments

PRIORI is a system for recording and analyzing speech collected passively. There are 81 subjects from the Prechter Bipolar Disorder (BD) Program that have used PRIORI for up to one year. A subset is the basis for a study of emotional patterns in BD.
Contextual sensing: why we should make sensors "smarter" (Conference Presentation)

Aside from the daunting physics based challenges needed to maintain Moore's Law, it's becoming increasingly difficult to justify the huge foundry investments required. This probable constraint to future electronics provides sensor developers with a unique opportunity to create more "elegant" sensing design options. Instead of continually increasing the amount of data collected in an open-loop manner, we should consider providing "intelligent" feedback to and within sensors in a more "closed-loop" manner. In other words, allow the sensor to dynamically learn how best to allocate its sampling, processing, and communication resources based on both external objectives and internal conditions. Imbedding deep learning machines into sensors designs could help mitigate Moore's Law's possible demise.
Computational Linguistics Models and Language Technologies for Indonesian

The purpose of this research is to describe computational linguistics as a study of science that should pay full attention to linguistics researches improvement. The type of research is a literature review and experimental research by designing a software model for Bahasa. The result of the research shows that computational linguistics is a field of linguistics that can be used as a solution to overcome a problem related to spelling correction and grammar for language users. This field of linguistics is related to software engineering designed to educate the public in producing languages; it can be Bahasa, regional language, and English language as the foreign language for Indonesian. The public can know the standardization of writing a language and equivalence translation between the target language and the source language that can also be precisely acquired. Also, the writer provides several practical examples of how computational linguistics can be applied to the development of writing skills. For instance, the concordance enables us to see any word or phrase in context so that one can see what sort of company it keeps. Thus, the users can, for example, see the correct form based on Bahasa Indonesia rules between the words which they often confuse (e.g., gadget vs. gawai).
Sistem Pengelolaan Cashflow Keuangan Online Di Pabrik Usantex Surakarta

Today, many companies are utilizing information systems in managing business activity data. One of them is the Usantex Surakarta Factory, which already uses an online system for managing cashflow data. However, in some parts the system still has shortcomings. First, in the cashflow menu section which only counts 50 cash in and out data that appears on the page, it should count along with previous transactions. Then, the debt data that is still not displayed based on the debtor. Therefore, in this final project develops a new system using the PHP programming language and PhpMyAdmin database system. This new online system will solve the problems in the previous system as mentioned above. System development method uses Waterfall, which consists of 5 stages including requirements analysis, system design, writing program code, testing, and implementation and maintenance. The new online system testing uses the black box method to ensure all system functions are running as expected and testing the user to find out the suitability of the system with Usantex through a questionnaire using the likert scale calculation. Based on the test results it can be concluded that the system runs according to its function and the percentage of the results of the questionnaire gets an average score of 92.5% so that it is in accordance with the request from Usantex.
IMPLIKASI MOTIVASI BELAJAR MAHASISWA ANTARA YANG BEKERJA DAN TIDAK BEKERJA TERHADAP INDEK PRESTASI KUMULATIF (IPK)

The purpose of this research is to determine the implication of students motivation, between those who were working and not working towards their Cumulative Grade Point Average/CGPA on STIE Indonesia's student year 2014. Methodology that were used in this research is descriptive analysis with case study approach. Data collection will be done quantitatively by using prime and secondary data. The population of this research are the students of Sekolah Tinggi Ilmu Ekonomi Indonesia Banjarmasin, year 2014. Sampling technique that were used in this research is purposive sampling. Number of total samples are 82 respondents. Necessary data are acquired through questionnaire method. Data analysis methodology that were used is quantitative descriptive analysis. The analysis shows that the motivation between working and non-working students are proved to be no difference in relation toward their academic achievement, whereas their their studying achievement were of to no difference; it is shown from their CGPA. The average CGPA of non working students is 3,32; whereas, the average CGPA of working students is 3,30. Both non working and working respondents are agreed with the result of the analysis, meaning that student's motivation on studying is not relevant with whether they were working or not working. They were motivated because they were high spirited and wanted to achieve a better result. Although STIE Indonesia Banjarmasin student's CGPA year 2014 is still fall short from the standard CGPA that were set by private companies and government, which is 3,5.
ON THE ISSUE OF THE FAKE IDENTIFICATION DOCUMENTS

Summarizing the foregoing, we can draw the following conclusions: documents made on a polymer basis have both certain advantages and disadvantages, most of the drawbacks are connected with the use of decentralized personalization, insufficiently effective control over consumable materials and the possibility to reuse the original form for the processing a fake document. The advantage of identification documents is the use in their production and centralized personalization of modern technological solutions, which ensures the presence of a complex of security features. Therefore, in order to ensure the proper level of examination of identification documents, experts should be provided with samples or electronic collections with a description of security features and equipped with modern equipment. Key words: fake, identification documents, expert research.
Neural Belief-Propagation Decoders for Quantum Error-Correcting Codes

Belief-propagation (BP) decoders play a vital role in modern coding theory, but they are not suitable to decode quantum error-correcting codes because of a unique quantum feature called error degeneracy. Inspired by an exact mapping between BP and deep neural networks, we train neural BP decoders for quantum low-density parity-check codes with a loss function tailored to error degeneracy. Training substantially improves the performance of BP decoders for all families of codes we tested and may solve the degeneracy problem which plagues the decoding of quantum low-density parity-check codes.
CrossTrainer: Practical Domain Adaptation with Loss Reweighting

Domain adaptation provides a powerful set of model training techniques given domain-specific training data and supplemental data with unknown relevance. The techniques are useful when users need to develop models with data from varying sources, of varying quality, or from different time ranges. We build CrossTrainer, a system for practical domain adaptation. CrossTrainer utilizes loss reweighting from [6], which provides consistently high model accuracy across a variety of datasets in our empirical analysis. However, loss reweighting is sensitive to the choice of a weight hyperparameter that is expensive to tune. We develop optimizations leveraging unique properties of loss reweighting that allow CrossTrainer to output accurate models while improving training time compared to naive hyperparameter search.