Reviewerly/exHarmony huggingface dataset:
PREDICTION OF BITCOIN PRICE USING MACHINE LEARNING ALGORITHMS

This project is implemented to predict the Bitcoin price accurately taking into consideration various parameters that affects the Bitcoin value. Bitcoins are put away in an advanced wallet which is essentially similar to a virtual financial balance. it is important to anticipate the estimation of Bitcoin so right venture choices can be made. The cost of Bitcoin doesn’t rely upon the business occasions or mediating government not at all like securities exchange. Most measurable procedures pursue the worldview of deciding a specific probabilistic model that best portrays watched information among a class of related models. Likewise, most AI systems are intended to discover models that best fit information. By gathering information from different reference papers and applying in real time. Each and every project has its own set of methodologies of bitcoin price prediction. Machine learning models can likely give us the insight we need to learn about the future of Crypto currency. It will not tell us the future but it might tell us the general trend and direction to expect the prices to move.
Improving Disaster Mitigation Capability from an Early Age by Strengthening Disaster Literacy for Students at SD Negeri 10 Bonepantai Bone Bolango Regency

&lt;p&gt;Tihu Village is located on the southern coast of Gorontalo and is included in an area prone to earthquakes and tsunamis. The impact of the earthquake and tsunami disaster can be in the form of loss of life and material. The losses incurred as a result of a disaster are usually caused by the local community's lack of responsiveness in dealing with an impending disaster. Mitigation efforts are needed in tsunami-prone areas to prevent casualties and material losses. Mitigation efforts can be carried out by socializing the earthquake and tsunami disaster and making tsunami evacuation routes. The programs implemented through this service activity are: 1) survey of potential disasters and identification of disaster-prone zones; 2) manufacture of disaster risk reduction information boards; 3) construction of evacuation route boards and assembly points; 4) Socialization of earthquake and tsunami disaster risk reduction; 5) Installation of evacuation route boards and assembly points.&lt;/p&gt;
Designing Interactive Kid’s Clothes as an Educational Mediator Using Electronic Chips

Children's clothing of all ages is one of the important types that are greatly affected by the quality of design and the uniqueness of design elements, so it must be included in the development, Therefore, this study is concerned with the design of interactive kid's clothes using an electronic mediator and implement some designs by placing some pictures and drawings on them in a way that is suitable with the quality of the electronic mediator and its relation to the pre-school child's learning. And also, the child's interaction by pressing the place of the picture showed what he is wearing and the sound with the interactive light movement. It attracts his attention to modern technology, which helps to raise the value of the technical aesthetic and function of the product with the successful electronic design.
Twespa: A Modern Approach to Twitter Sentiment Analysis

Abstract: Sentiment analysis has become a stimulating field for both research and industrial domains. The expression sentiment refers to the emotions or thought of the person across some certain issues. Furthermore, it's also considered an immediate application for opinion mining. the large amount of tweets jotted down daily makes Twitter an upscale source of textual data and one among the foremost essential data volumes; therefore, this data has different aims, like business, industrial or social aims consistent with the info requirement and needed processing. Actually, the quantity of knowledge , which is very large , grows rapidly per second and this is often called big data which needs special processing techniques and high computational power so as to perform the specified mining tasks. during this work, we perform a sentiment analysis with the assistance of PySpark framework, an interface for Apache Spark in Python which is taken into account an open source distributed processing platform which utilizes distributed memory abstraction. The goal of using PySpark is that we can run applications parallelly on the distributed cluster (multiple nodes). The effectiveness of our proposed approach is proved against other approaches achieving better classification results when using Naïve Bayes, Logistic Regression and Decision trees classification algorithms. Finally, our solution estimates the performance of Apache Spark concerning its scalability. Keywords: Python, Pyspark, Machine learning, tweepy, tokenization.
Artificial intelligence improves efficiency in the one stop symptomatic breast clinic

Introduction: Research to date has focused on the role of Artificial Intelligence (AI) in breast cancer diagnosis as an alternative to conventional mammographic reporting by radiologists. This project assessed the role of AI in supporting conventional radiological assessment of symptomatic breast patients with a view to improving the efficiency of the triple assessment process and reducing waiting times.
Rethinking the Setting of Semi-supervised Learning on Graphs

We argue that the present setting of semisupervised learning on graphs may result in unfair comparisons, due to its potential risk of over-tuning hyper-parameters for models. In this paper, we highlight the significant influence of tuning hyper-parameters, which leverages the label information in the validation set to improve the performance. To explore the limit of over-tuning hyperparameters, we propose ValidUtil, an approach to fully utilize the label information in the validation set through an extra group of hyper-parameters. With ValidUtil, even GCN can easily get high accuracy of 85.8% on Cora. To avoid over-tuning, we merge the training set and the validation set and construct an i.i.d. graph benchmark (IGB) consisting of 4 datasets. Each dataset contains 100 i.i.d. graphs sampled from a large graph to reduce the evaluation variance. Our experiments suggest that IGB is a more stable benchmark than previous datasets for semisupervised learning on graphs. Our code and data are released at https://github.com/THUDM/IGB/.
Pedagogical findings of children's periodics of the USSR (based on 1962 publications)

The presented research is carried out in the context of the general plan of research works of the Book Chamber of Ukraine for 2020. The article is devoted to the Ukrainian Soviet periodicals of 1962, the electronic base of which is formed at this stage. The article prepared by the author raises the issue of children's periodicals of the Ukrainian Soviet Socialist Republic, which, to date, remains insufficiently studied by scientists. Taking into account the special urgency and demand of this topic, the researcher conducted a content analysis of children's magazines published in the USSR during 1962 under the auspices of the Central Committee of the Leninist Communist Youth Union of Ukraine and the Republican Council of the All-Union Pioneer Organization. Lenin. We are talking about the magazine "Malyatko", designed for preschool children, the magazine "Barvinok", which was published for children of preschool and primary school age, the magazine "Pioneer", which reached the teenage audience. All these magazines still exist under their former names, with the exception of the magazine "Pioneer", which is now published under the name "Classmate". The processed editions were published in large editions, distributed among readers at symbolic prices and were distinguished by their powerful educational potential. The editorial boards of these journals have mastered and widely used acceptable for today's practical pedagogy forms of work with the younger generation. Children were instilled with high moral qualities, such as honesty, friendliness, diligence, devotion to the Fatherland, respect for the elderly, equal treatment of people of all races, nations and nationalities, care for nature and more. Magazines formed a culture of family reading, taught children to communicate with each other and adults. These publications had a deep Ukrainian studies content and were an example of exemplary knowledge of the Ukrainian literary language.
Identifying Key Elements of a Sentence for Key Idea with the Help of Connectives under Constructivism

Most people want to be able to read their reading materials quicker and remember them effectively. Covering a large quantity of reading materials at a normal speed requires much more time than is usually available. Good readers, however, can cover a lot of materials by identifying key elements of a sentence for key idea with the help of connectives when skimming. Constructivism theory emphasizes that students need to actively construct the meaning of their knowledge they have learned, and actively explore and discover knowledge. Syntax is the core of the whole language system with syntactic structure occupying a macroscopic and important position in improving students&amp;rsquo; language ability and language level in a real sense. This paper introduces and analyzes how to identify key elements of a sentence for key idea with the help of connectives under constructivism so as to find a practical and feasible reading strategy when skimming. It is advised that readers glance at secondary sentences by reading the connectives as they are helpful in getting possible additional information while successfully identifying key elements of a sentence for key idea. The method fundamentally helps students improve their reading speed and develop their skimming understanding ability. The research methods of this paper are the ones of experience, literature review, theoretical basis, the main language order and keen analysis. This paper concludes by understanding the method of identifying key elements of a sentence for key idea with the help of connectives in skimming practice when reading under constructivism theory and its role is to guide readers to apply the knowledge of subject-predicate-object grammatical rule as the main language order in the skimming practice to help readers to get the general meaning of a sentence, paragraph, passage and a text.
Analysis of the Oral Muscle Training Device Gaumfit® in the Application at Primary Snoring

Introduction: Snoring endangers the health and can lead to the emergence or worsening of existing diseases, such as high blood pressure and heart attack.There are numerous surgical and non-surgical treatment options for snoring and snoring apnea syndrome (SAS).All surgical and conservative treatments do not address the cause of snoring, only the symptom.Gaumfit ® is the first device that treats 90% of the causes of snoring.Aim: To verify that primary snoring improves when the oral musculature is trained by the Gaumfit ® exercise device. Method:In a retropspective analysis on 100 test persons (83 males and 17 females) the effectiveness of the innovative concept of Gaumfit ® exercise device was analyzed.The subjects wore Gaumfit ® for 3x10 minutes a day(!) and were interviewed after four weeks.Results: Snoring was reduced in 94 out of 100 subjects.This represents a success rate of 94%.This finding is highly significant (p=0.008).It felt more rested in the morning 79% of Gaumfit ® users.94 subjects used Gaumfit ® during the four weeks and rated the innovated therapy method with the predicate "good" (school grade 1.95). Conclusion:The oral muscle training device Gaumfit ® significantly strengthens the palatal and tongue muscles and is therefore suitable to alleviate primary snoring.
Assessments of Heavy Metal Contamination in Groundwater Source from Benin Formation Aquifer in and around Dumpsite Environment, and its Impact on Human Health

The paper examines the level of exposure and the health risk associated with chromium (Cr), Nickel (Ni), Lead (Pb), and Iron (Fe) in boreholes in and around dumpsite environment of Asoro, Otofure and Ikhueniro in Benin City, Nigeria. Literature review, structured questionnaire, and ArcGIS were applied to achieve the aim of the study. The results show that the level of exposure of the inhabitants of the study communities to Fe in the three sites investigated was R &gt; 1 for adult, teenagers, and children respectively. ArcGIS geospatial map model revealed that heavy metals assessed in the study dissipated in the direction of groundwater flow. Correlation at P &lt; 0.5 confidence level confirmed the influence of the dumpsites on the quality of groundwater sourced in the area. Based on the result, the groundwater in the study area cannot be consumed unless treated.
PENDAMPINGAN PUBLIKASI MASYARAKAT ILMIAH SEBAGAI SOLUSI PRAKTIS MELALUI WEBINAR: KUPAS TUNTAS RAHASIA LOLOS JUPELAKNAS

Writing scientific articles is one of the things that are mandatory for the scientific community according to its objectives. This community service activity is in the form of a secret peeling webinar activity that passes the National Education Training Center which aims to provide additional education related to professional and academic competencies for the scientific community and become a practical solution for publication for the scientific community. The scientific community in question is people who are in academia, such as teachers (teachers and lecturers), researchers, and students. This activity was attended by 52 participants from various professions and regions. In seeing the success of the objectives of this activity through data collection and analysis techniques in the form of video recording documentation of activities, observations and questionnaire responses of participants were carried out in a qualitative descriptive manner. In the implementation of this webinar activity, it was quite successful in becoming a practical solution for publications for the scientific community, by showing the number of webinar participants attending more than 70% of the total number of registrants, there was a match between the planning and implementation stages, as well as the results of the participant's response questionnaire with average results. more than 80% responded positively. As an alternative solution based on the results of the discussion and Q&amp;A from the webinar activity, these are (a) mentally prepare; (b) pay attention to the ethics of writing and publication; (c) the strategy for selecting journals and their publications by taking into account the selection of journals following the scope of the titles of the articles that have been made, and using a template according to the provisions of the journal we have chosen; (d) strategies in writing good and correct scientific articles.
Self-learning and Motivation Effectiveness for L2 Learners through Using (CALL)

This study aims to explore the effectiveness of computer-assisted language learning (CALL) in promoting L2 learners’ self-learning and motivation. The participants of this study are a randomly selected group of L2 learners attending English Language Training Program (EL). Their levels of proficiency range from beginner to advanced in order to ensure that they have had adequate exposure to English. Data were collected by circulating a 22-item survey consisting of two sections. The first section consists of eleven items that aim to identify the role of CALL in promoting participants’ self-learning strategies, whereas the second section consists of eleven items that investigate the extent to which the participants’ motivation has increased/decreased with the impact of CALL. Data were analyzed descriptively by looking at the participants’ responses to the questionnaire in order to pinpoint any potential themes or patterns concerning the impact of CALL on promoting the two independent variables under study. The findings indicated that CALL contributes to increasing L2 learners’ motivation fairly whereas promote their self-learning significantly.
IMPLEMENTASI LOAD BALANCING MIKROTIK JARINGAN INTERNET DI PARDAMEAN SIBISA, AJIBATA, TOBA SAMOSIR, SUMATRA UTARA

SMK Muhammadiyah 3 Klaten Utara is one of the private schools whose attendance media still uses an attendance manual or handwriting. By using handwritten attendance media, sometimes the stored data is damaged and easily lost so that attendance recapitulation takes a long time. The lack of communication and information between the school and parents resulted in students being able to report that they were in learning activities but in fact the students were playing with friends. So we need a web-based information system that is connected to a network using an SMS Gateway that can be directly connected to parents to control their children going to school or not. Web-Based Student Attendance Attendance Information System Design at Smk Muhammadiyah 3 Klaten Utara aims to help solve these problems. This information system will be able to manage student data, department data, class data, user data, input attendance data, sms and reports that can recapitulate attendance data. The method in designing this information system uses the waterfall model, using the method of observation and interviews at the time the research was conducted.&#x0D; Applications designed and designed using the Unified Modeling Language (UML), and built using a web-based application using the PHP (Hypertext Preprocessor) programming language, and also equipped with a database designed using MySQL and Modem and Gammu as a tool for sending messages. With this application, you can find out the activities of students who are present at school
Implementation of Verbal Linguistics Analysis Development in Ecolexicon and Ecoteks at Bale Sangkep, Green School Bali

Ecolinguistics examines the whole nature of the relationship between language and the environment which is an expression of the entire reality of human life. GSB is an educational environment that preserves nature with the concept of local wisdom with a natural perspective. Lexicons derived from local, national and global languages are widely used in naming buildings, academic activities, aned daily activities. This study aims to describe the ecolexicon and ecotext found in the bale sangkep in GSB. There are 2 research focuses, first, to describe the form, meaning, and grammatical categories of the ecolexicon; second, to describe the tridimensional ecotext social praxis found in the bale sangkep in GSB. The research was conducted with a descriptive approach with qualitative methods. Data collection is done through observation, documentation, and interview methods. The data were analyzed by applying the identity method and the distributional method. The results of the study show that there are 89 lexicons related to the bale sangkep GSB. Lexicons are identified based on grammatical categories, meanings, and the existence of their environment. The total lexicons found are 69 lexicon are categorized as nouns which is consists of 19 nouns in the form of basic words, 3 nouns in the form of derivatives, 1 noun which is a compound word, and 46 other noun lexicon in the form of noun phrases. Meanwhile, the other 20 lexicons are lexicons categorized as verbs, where 1 lexicon is a basic verb and 19 lexicon is a derivative verb. The tridimensional of the ecotext are viewed from: the biological dimension, the speaker’s understanding of the physical entity of the lexicon; sociological dimension, the closeness of speakers through the use and way of implementing the lexicon entity; and ideological dimensions, collective relations, cognitive and psychological systems of speakers in the form of beliefs and beliefs about lexicon references. It can be concluded that this study reveals the richness of the lexicon in GSB as supporting data for ecolinguistics.
The fringe visibility measurements on the complex s-plane: A novel method for the fringe visibility measurement

In this work, a novel theoretical technique to measure the fringe visibility ν of a low-coherence interference pattern is proposed. The new technique is called Fringe Visibility Measurement on the S-Plane (FVM-SP) because it is developed on the s-plane. The FVM-SP technique only requires to know the pole and zero location of the modulated function, which is filtered from the interference pattern. Since the optical parameter ν can take the necessary values into the interval 0 to 1, some limits are determined for the FVM-SP. The limits are specified on the complex plane and obtained analyzing the pole-zero map of a modulated function. In the numerical experiments, our proposal FVM-SP and the traditional technique are compared performing two series of experiments. In the one, a low-frequency interference pattern is considered, ωo=12rads and the fringe visibility ν is between 0 and 1 with a step of 0.1. While, in the second series, a high-frequency interference pattern is used, ωo=62831.853rads and the fringe visibility ν had the same values. Based on our numerical results, both methods produce close results. When the interference pattern has a low frequency, the mean errors were 7 × 10−4 and 17.5 × 10−4. However, if the pattern has a high frequency, the average errors were 3×10-4 and 7×10-4, respectively. The traditional technique is based on the intensity of the interference pattern while the FVM-SP is based on its frequency. The Fringe Visibility Measurement on the S-Plane technique is applied for the case 1D and it has potential application on signal demodulation and low-coherence system analysis.
Quantitative Analysis Of Completeness Of Medical Record Document Filling At Public Health Center

Completeness of filling out medical record documents is a must that must be fulfilled to improve the quality of service quality in health care institutions. The community health center is a first-level individual health service facility, by prioritizing promotive and preventive efforts in its working area. Improvement efforts are carried out by conducting regular reviews, both qualitative and quantitative. The quality of the medical record document is reflected in the completeness status if it meets the criteria: completeness of content, accuracy, timeliness and compliance with legal aspects. In the preliminary study, it was found incompleteness in filling out medical record documents. In the Authentication Review found incompleteness that can reduce or even eliminate the value of medical record documents both financially, therapy continuity and law. This study aims to assess the completeness of filling out medical record documents by using quantitative analysis methods on the completeness of filling out medical record documents. The research method used is descriptive with a quantitative approach. The sample in this study was 20 medical record documents from public health centers which were taken randomly using random sampling method from two different public health centers. The results showed that the Patient Identification Review, the Important Reporting Review, the anamneses were 100% complete, the Authentication Review was 87.5% complete and the Correct Documentation Review was 82% complete. The conclusion obtained is that the Authentication Review section of the doctor's name is 79%, the signature of the doctor or nurse is 96% and in the Correct Documentation Review in the section there are scribbles of 12.5%, the use of type-x is 4% and there is an empty section of 37.5 %. Efforts made to improve the quality of the completeness of medical record documents can be carried out by evaluating the implementation of the established SOP and reviewing the provision of rewards and punishments