Reviewerly/exHarmony huggingface dataset:
MODEL PEMBELAJARAN NEURO-LINGUISTIC PROGRAMMING (NLP) MELALUI TRAINING MOTIVASIBAGI PENINGKATAN KETERAMPILAN BERPIDATO MAHASISWA

Berpidato merupakan salah satu keterampilan yang harus dikuasai oleh mahasiswa Program Studi Pendidikan Bahasa Indonesia. Namun, keterampilan ini tidak mudah untuk dikuasai mengingat pidato itu adalah pendekatan pragmatik tidak hanya menguasai teori, tetapi juga menguasai aspek-aspek praktik. Hasil studi awal menunjukkan mahasiswa belum mampu untuk melakukan berpidato secara maksimal, baik dari aspek kebahasaan dan aspek nonkebahasaan. Salah satu upaya memperbaiki masalah tersebut adalah dengan Model Pembelajaran Neuro-Linguistic Programming (NLP). Penerapan model NLP melalui Training Motivasi menggunakan penelitian RD--- Speech is one of the skills that must be mastered by students of the Indonesian Language Education Study Program. However, this skill is not easy to master considering that speech is a pragmatic approach to not only mastering theory, but also mastering practical aspects. The results of the preliminary study showed that students were not yet able to make speeches optimally, both from the linguistic and non-linguistic aspects. One of the efforts to fix this problem is the Neuro-Linguistic Programming Learning Model (NLP). The application of the NLP model through Motivation Training using R&D research can be used as a speech learning model which has proven its success in this study. The purpose of this study was to obtain an NLP empirical model through motivation training in speech learning for students. The research method used in this research is the R & D research method by modifying the 4-D model (Four-D Models) of Thiagarajan (1974). The design and development of the NLP learning model through motivational training in speech learning includes elements of model orientation, syntax, acquisition, elaboration, evaluation, approach and model strategy. NLP steps are carried out by Pace the state, fire the anchor, lead to desire the state, nested loops, future pacing, build the habbit, and motor skills. The NLP strategy is implemented by directly practicing what is learned, reflection and discussion, building rapport, elicitation and the existence of interventions and locking in change. The NLP model based on motivation training has been proven to improve students' speaking skills. The results of hypothesis testing proved that there was an effect of the NLP model through Motivation Training on improving student speech skills. After the speech learning process, students admitted that they were helped by the learning so that 72.5% of students were able to make short speeches, while 27.5% did not make speeches optimally.
THEME AND RHEMEON STUDENTS’ WRITING WITH DIFFERENT OBJECTS

The objective of this study were to  find out the dominant types of Theme and Rheme used in students’ writing in Science and Social Class and to describe the Theme and Rheme realized in students’ writing in Science and Social Class. Theme is what the writer taking about and rheme was this was what writer saying about and common used in the text. This study was conducted by using descriptive qualitative design. The subject of this study was students’ writing of Recount Text from tenth grade of Science and Social class in SMA Kartika 1-2 Medan. The data were collected from the students’ writing. From the research, it was found all the kinds of theme: topical, textual, interpersonal, marked and unmarked theme were found. And the most dominant kind of theme was marked theme and topical theme.The Theme realization pattern were found in students’ writing of recount text in both Science and Social class namely, topical theme, textual-topical theme and interpersonal-topical theme. While topical-textual-interpersonal was occured in this research simultaneously. Keywords: Theme and Rheme, Students’ Writing, Different Objects.
A Study on the Credit Rating Analysis Based on Apartment Big-Data

With the rapid progress of the fourth industrial revolution recently, related technologies such as IoT, AI and Big-Data have developed innovatively and various kinds of big data are being generated in various fields. In particular, various studies using such big data are underway in the financial sector. Domestic and foreign fintech companies and financial institutions have applied big data and related technologies to credit rating and are making various efforts to expand and apply from traditional to new credit rating methods. Therefore, in this paper, we want to present guide information on the development of new credit rating model, such as carrying out credit rating analysis using apartment big data and visualizing the results so that we can understand them intuitively.
Wolfgram Subject Guides: Scholarly Communication: Author Rights & Predatory Publishers

Scholarly communication is the system through which research and other scholarly writings are created, evaluated for quality, disseminated to the scholarly community, and preserved for future use (ACRL, 1996-2021).
Aplikasi Pembelajaran Kesehatan bagi Masyarakat pada Puskesmas Kecamatan Kemayoran Berbasis Web dengan Moodle

District Health Center of Kemayoran is one of the medical institutions that provide health services 24 hours to the community, especially those residing in the district of Kemayoran. The center often conducts activities such as socialization or counseling to increase public knowledge regarding the importance of maintaining health. Puskesmas is not enough to provide health care only through direct socialization. This is because of the limited time and place to convey health information and not all people follow the socialization because it has other activities that they cannot live. This research aims to produce a health information application that can be learned electronically that can provide learning about health-related symptoms and how to prevent an illness to the community. The research was developed using the waterfall method with Unified Modeling Language (UML) modeling. The result of this research is a health information application that can provide health learning to the community so as to increase the willingness of healthy life independently.
Wujud Akulturasi Hindu, Budha, dan Islam dalam Seni Pertunjukan Wayang

This article deals with the form of acculturation of Hinduism, Buddhism, and Islam in wayang perfo r ming arts”, the writing of this article aims to analyze the results of Hindu-Buddhist acculturation on wayang perf or mance art and the results of Islamic acculturation in the art of wayang perfo r mance. The method used in writing this article is literary study which is used as a data source. The results of writing this article are in the form of acculturation, which means that it is a combination of two different cultures that do not eliminate  elements from the old culture. In this article, we discuss acculturation in the art of wayang perfo r mance. Wayang is a puppet played by a puppeteer. Wayang has undergone acculturation based on its era, where at the beginning wayang was considered as a shadow of ancestral spirits so that the puppet show ceremony is often performed by the ancestors. Then after Hindu-Buddhist religion came, wayang was used as a medium to spread the Buddhist religion by including stories from the Mahabharata and the Ramayana. After the waning of Hindu-Buddhist influence, the nine wali also carried out the spread of religion and teachings of Islam. The guardians acculturate the values of Islamic teachings with wayang. During the Islamic period, the r e was a change in the form of wayang from before because the previous form of wayang was contrary to Islamic teachings so that the puppet was changed into a form that did not resemble humans. Keywords: acculturation, H indu Buddhist Islam, Wayang
Pemasangan Instalasi Listrik Dan Grounding Pada Mesin Sonic Loundri Di Condong Catur

AbstractMany people still ignore the potential dangers of electricity use, some of whom are aware but do not know the procedure for handling electricity utilization properly. For this reason, intensive socialization is needed to prevent the danger of using electricity Therefore this dedication takes tofik, the installation of electrical installations on loundry machines in sonic loundry entrepreneurs. Because the result of errors or non-compliance with the installation regulations stipulated in the PUIL, disturbances can occur such as the danger of fire, damage to other electrical equipment that will even have fatal consequences, namely robbing human lives. Thus, the problem of installing electrical installations in loundri entrepreneurs must really be considered and it is necessary to think about the problems that are directly related therein, namely: the type of conductor / conductor that is suitable, the size and type of security that is installed as well as paying attention to other provisions that must be obeyed. So that the dangers that arise as mentioned above can be avoided or minimized as possible, besides that users / consumers will feel at ease and safe in carrying out activities or use in an electrical installation environment.
Hiding Data in Plain Sight: Towards Provably Unbreakable Encryption with Short Secret Keys and One-Way Functions

It has long been known that cryptographic schemes offering provably unbreakable security exist, namely the One Time Pad (OTP). The OTP, however, comes at the cost of a very long secret key - as long as the plain-text itself. In this paper we propose an encryption scheme which we (boldly) claim offers the same level of security as the OTP, while allowing for much shorter keys, of size polylogarithmic in the computing power available to the adversary. The Scheme requires a large sequence of truly random words, of length polynomial in the both plain-text size and the logarithm of the computing power the adversary has. We claim that it ensures such an attacker cannot discern the cipher output from random data, except with small probability. We also show how it can be adapted to allow for several plain-texts to be encrypted in the same cipher output, with almost independent keys. Also, we describe how it can be used in lieu of a One Way Function.
Review on application of data mining in insurance

Insurance consists of providing security, old-age pensions, as an investment or saving mechanism, as collateral for loans, for tax benefits, provide protection, provide prevention of losses, small capital to cover the larger risk, risk-free trade. Data mining is the productive disclosure of profitable, non-evident data from a substantial accumulation of information. In this study, researchers reviewed 12 research articles in Data Mining application used in insurance companies and the result shows that Data mining can be seen because of the character advancement of data innovation.
[0.9.20] Battle Interface From Zayaz

This battle interface of the player zayaz 0.9.20 for World of Tanks. According to the mod completely changes the appearance of the damage, the mini-map, ...
An attention-based deep learning method for text sentiment analysis

Text sentiment analysis is target-oriented, aiming to identify the opinion or attitude from a piece of natural language text toward topics or entities, whether it is negative, positive or neutral using natural language processing and computational methods. With the growth of the internet, numerous business websites have been deployed to support shopping products, booking services online as well as to allow online reviewing and commenting the services in forms of either business forums or social networks. Use of text sentiment analysis for automatically mining opinion from the feedbacks on such emerging internet platforms is not only useful for customers seeking for advice, but also necessary for business to study customers' attitudes toward brands, products, services, or events, and has become an increasingly dominant trend in business strategic management. Current state-of-the-art approaches for text sentiment analysis include lexicon based and machine learning based methods. In this research, we proposed a method that utilizes deep learning with attention word embedding. We showed that our method outperformed popular lexicon and embedding based methods.
Detection of possible seismic station phase reversals using parametric data from seismological bulletins

&amp;lt;p&amp;gt;A simple and fast technique to detect systematic changes in the performance of seismic stations by using parametric data is being presented. The methodology is based on a simple principal, notably, quantifying the goodness of fit of first motion manually picked polarities from seismological bulletins versus available earthquake mechanism solutions over time. The probability of the reporting polarity data fitting (and not fitting) source mechanisms is quantified by calculating the probability distribution of several Bernoulli trials over a randomly perturbed set of hypocentres and velocity models for each earthquake mechanism - station polarity combination. The method was applied to the registered seismic stations in the bulletin of the International Seismological Centre (ISC) after grouping each polarity pick by reporting agency, using data from the past two decades. The overall agreement of first motion polarities against source mechanisms is found to be good with a few cases of seismic stations showing indications of systematic phase reversals over certain time periods. Specifically, results were obtained for 50% of the registered stations at the ISC, and from these stations 70% show reliable operation during the operational time period under investigation, with only 3% showing the opposite, and 7% showing evidence of systematic changes in the quality of the reported first motion polarities. The rest showed great variability over short periods of time, which does not allow one to draw any conclusions. Comparing waveform data with the associated reported polarities revealed a mixture of cases of either questionable picking or true station phase reversals.&amp;lt;/p&amp;gt;
Route Planning: B

Abstract There is a class of control problems that admit a particularly elegant solution: the linear quadratic Gaussian (LQG) problems. In these problems, the state dynamics and observations are linear, the cost is quadratic, and the noise is Gaussian. Section 14.1 explains the theory of LQG problems when one observes the state. Section 14.2 discusses the situation when the observations are noisy and shows the remarkable certainty equivalence property of the solution. Section 14.3 explains how noisy observations affect Markov decision problems.
KLASIFIKASI PENYAKIT IBU HAMIL DAN MELAHIRKAN DENGAN METODE DECITION TREE DAN ALGORITMA C4.5

Lack of knowledge of diseases of pregnant and childbirth mothers and the limited time for pregnant women to consult a doctor that is often experienced by pregnant women. Therefore, there needs to be an alternative to help pregnant women to diagnose diseases and symptoms of symptoms that often occur when the mother is pregnant. C4.5 algorithm is a decision tree classification algorithm that is widely used because it has the main advantages of being able to produce decision trees that are easy to interpret, have an acceptable level of accuracy, are efficient in handling the attributes of dictation and numerics. For this reason, this research will analyze disease data of pregnant and giving birth mothers using data mining classification, namely C4.5 Algorithm using five parameters, Rubella, Hepatitis B, Gestational Diabetes, Placenta Previa, Anemia. Based on the description, a system that can help an expert diagnose the disease of pregnant women who have a knowledge and experience base on the disease is needed, namely a responsive web-based diagnosis system for pregnant and childbirth diseases, in order to get a faster and more flexible information system. this expert will be applied in web form. So it can be concluded that the research implemented on this web-based basis can help users, especially mothers who are pregnant, to diagnose the disease and symptoms they often experience.
Dalla competenza sintattica alla competenza testuale: le narrazioni dei bambini italofoni dai 4 ai 10 anni

The paper investigates the way Italian children of different ages manage syntactic and narrative competence in Italian L1. The data were elicited by the story Frog, where are you? , created in 1969 by Mercer Meyer and extensively used in several L1 and L2 studies. The study aims at identifying the cognitive prerequisites on which linguistic development is founded at the ages investigated (4, 7 and 10) together with the language specific influence that Italian may have on the way children conceptualize and express information throughout a narrative text. Some crosslinguistic questions are finally considered in order to compare our results with those concerning languages other than Italian.
MOCK-UP | 'Developing a curriculum for designing media architecture with augmented Reality tools and virtual reality tools'

One of our MAB chairs, Waldemar Jenek, has shared with us a mock-up that he created using a combination of different technology tools, as part of his PhD research at Queensland University of Technology. His thesis is titled: “Developing a curriculum for designing media architecture with augmented Reality tools and virtual reality tools” and for his next case study, he is exploring the potentials of designing Media Architecture Facades with a combination of different technology tools. He will work with architecture students to explore what kind of impact virtual reality has on the design process for media architecture and how design ideas can be communicated. In this context, he started to develop a mock-up using Rhinocerous with Grasshopper in order to design a parametric structure. Using the live-connection to ARCHICAD (Graphisoft), he was able to adjust and document the pilot project. Finally, he employed the live-connection from ARCHICAD to Twinmotion based on Unreal Engine (Epic Games) using video materials to simulate a media facade in virtual reality. Waldemar Jenek is a PhD candidate in the School of Design and part of Urban Informatics group within QUT. His principal research interests are technologies used by architects and how they influence the design work. He is fascinated by interactive architecture and how architectural design can be linked with the environment and people. His research interests include how students can be educated employing technologies such as augmented reality and virtual reality.
Jaipur Bus Finder - An Android-based Application

AI Publications is an open access peer review international journal to publish the article in the field of Agriculture, Horticulture, Food science, Rural Development, Environment and Health Research, Chemistry, Mathematics,Physics.
KEMAMPUAN MEMAHAMI STRUKTUR ISI TEKS CERPEN SISWA KELAS IX SMP NEGERI 1 WAWOTOBI

The purpose of this study is to describe the ability of class IX students of SMP 1 Wawotobi in understanding the structure of text content. This research was conducted in class IX of Wawotobi 1 Public Middle School. The research method used is descriptive quantitative, namely researchers who support compliance in the field that aims to test students' understanding of the structure of the short story text content. The findings in this study are comparisons of students who use the structure of the content of short stories in Indonesian language learning in class IX 1 Wawotobi Junior High School by an Indonesian teacher who discusses through calculating averages (X) Average score of 77, 82 aspects of value assessment the average is 86, 23 and the resolution aspect of the student average score is 82.66. The three aspects are categorized as capable because they are in the range of values â€‹â€‹of 66-85. Percentage of students' ability to understand the structure of short story texts in learning Indonesian language and literature in class IX of Wawotobi 1 Public Middle School by Indonesian teacher X) is 82.25. This value, if adapted to the quality of the ability to understand the structure of the short story text that has been determined is in the category of capable. Based on this description, it can be concluded that some of the achievements have succeeded in making the structure of the content of the short stories can be mastered by students. The conclusion in this study is the class IX students of Wawotobi 1 Public Middle School depending on the category of being able to improve the structure of the short story text content.
Need Analysis of the Use of Local Content for English Reading Texts for Grade X Students of SMA Pesona Riam Mangkikit

Students read texts to improve their English reading comprehension. In this case, students really need English reading texts to help them comprehend the local content according to their environment. This study applied a descriptive-qualitative method and to collect the data questionnaire was distributed to the students of Grade X of SMA Pesona Riam Mangkikit as the respondents. The obtained data were analyzed using percentage. The results of this study indicated that students really needed English reading text materials containing their interest and needs of the local content to improve their reading comprehension.
Resource Utilization Prediction with Multipath Traffic Routing for Congestion-aware VM Migration in Cloud Computing

[Load Balancing (LB) is the most essential challenge in cloud computing for assigning the workload equally among each node that avoids the state of nodes being overloaded when others are under-loaded. To tackle this challenge, an Osmotic Hybrid artificial Bee and Ant Colony with Future Utilization Prediction (OH-BAC-FUP) algorithm has been proposed that considers both current and future utilizations of resources for choosing the most suitable Virtual Machines (VMs) to be migrated to the most appropriate Physical Machines (PMs). On the other hand, the possibility network congestion occurrence was high when increasing the bandwidth use between VMs within the cloud data centers. Also, the resource utilization efficiency was degraded when the number of congestions was high. A less-than optimal migration of VMs can lead to high network traffic since it causes inter-VM traffic for traversing the bottleneck network routes. Therefore in this article, OH-BAC-FUP with Multipath Traffic Routing (OH-BAC-FUP-MTR) algorithm is proposed to increase the efficiency of LB and minimize the possibility of congestion occurrence in cloud data centers. Initially, OH-BAC-FUP algorithm is performed for choosing the most appropriate VMs to be migrated to the most suitable PMs. If any congestion exists due to high bandwidth use or traffic flows, then MTR algorithm is applied to partition the flows and route them through multiple link-disjoint routes. Based on this, the congestion is avoided while ensuring the bandwidth and security grade demands. Also, the maximum load on any link is applied as a measure of congestion. Moreover, the current and future network states are taken into account for MTR to select the most optimal route from multiple routes without considering the past utilization of the links. Finally, the simulation outcomes demonstrate the efficiency of OH-BAC-FUP-MTR algorithm compared to the OH-BAC-FUP.]
An Automated Engineering Assistant: Learning Parsers for Technical Drawings.

From a set of technical drawings and expert knowledge, we automatically learn a parser to interpret such a drawing. This enables automatic reasoning and learning on top of a large database of technical drawings. In this work, we develop a similarity based search algorithm to help engineers and designers find or complete designs more easily and flexibly. This is part of an ongoing effort to build an automated engineering assistant. The proposed methods make use of both neural methods to learn to interpret images, and symbolic methods to learn to interpret the structure in the technical drawing and incorporate expert knowledge.