Reviewerly/exHarmony huggingface dataset:
On Dialogue Modeling: A Dynamic Epistemic Inquisitive Approach

This paper introduces a formal model of dialogue based on insights and ideas developed by Jonathan Ginzburg in [11]. This model, which is logic based, takes advantage of inquisitive semantics [4], which allows to model both declarative and interrogative sentences in a uniform way. It appeals to ideas derived from classical epistemic logic in order to model the knowledge states of the dialogue participants, and includes a context-updating mechanisms based on the type-theoretic dynamic logic developed in [15].
Detection and prevention of Phishing Attacks

Phishing is one amongst the main issues visaged by cyber-world and ends up in monetary losses for each industries and people.Detection of phishing attack with high accuracy has forever been a difficult issue.At present, visual similaritiesbased techniques square measure terribly helpful for police work phishing websites expeditiously.Phishing web site appearance terribly similar in look to its corresponding legitimate web site to deceive users into basic cognitive process that they are browsing the right web site.Visual similarity primarily based phishing detection techniques utilize the feature set like text content, text format, HTML tags, Cascading sheet (CSS), image, then forth, to form the choice.These approaches compare the suspicious web site with the corresponding legitimate web site by victimisation numerous options and if the similarity is larger than the predefined threshold price then it is declared phishing [2].
Kritik Sajak F Rahardi “Nasehat Nenek Pada Cucu Laki-Lakinya yang Sedang Patah Hati”

Literature criticism could be used as media for connecting the reader and the literature. Stages done in literature criticism is started by interpretation, analysis, and evaluation. Based on interpreation, analysis, and evaluation, this rhyme use clear diction, so it’s become inappropriate for student. In addition, some Indonesian words such as berak, kencing, cebok, and kentut are assumed as inappropriate words. Thus, this literature has low education value for young readers, like students. The use of inappropriate enjambemen also creates and produces unclear meaning in every line of literature.
The Meranaw In Weddings: Understanding Pragmatics

The Meranaw people are fond of “pananaroon” or proverbs. Most of the old folks use these proverbs to express their thoughts toward a situation. Meranaw and non-meranaw alike who are not exposed to the Meranaw community may misunderstood and misinterpret this Meranaw sarcasm as expressed through proverbs. By using qualitative analytical approach, this research paper aims to unveil the Meranaw pragmatics by analyzing and semiotically interpreting video recorded Meranaw speech acts delivered in Meranaw wedding gathering along with the reactions of the people involved in the interaction. Some of the aspects of language studied in pragmatics which are also be considered in studying the data include diexis, presupposition,performative,and implicature. The study shows how junctures plays a vital role in understanding pananaroon. Morever, the study shows that the Meranaw people are one of those whose language is very powerful in the society. It will take an outsider to immerse himself with the folks to fully understand what a word means and or a gesture means.
An Analysis of the Second Year Students' Difficulties on Reading Analytical Exposition Text at SMA Negeri 9 Pekanbaru

This research was aimed to find out the difficulties of students on reading understanding analytical exposition text. This research is descriptive quantitative research. The population of this research was the second-year students of SMA Negeri 9 Pekanbaru, then for the sample choose one class by using clustering-random-sampling. This research used a reading test and questionnaire as the instrument. The results of this study indicate that there are difficulties for students to understand analytical exposition text based on 8 (eight) indicators, namely finding the main idea, finding factual information, finding, references and inferences, finding vocabulary, identifying the social function, identifying the generic structure and identifying language features of analytical exposition text. The results of the research data indicate that students have difficulty in identifying the social function (56%) was categorized as high level, difficulty in identifying generic structure (54%) was categorized as medium level and difficulty language features of the text (54%) was categorized as medium level. Then, the questionnaire data showed that the students have problems in difficulty level of text, difficulty in reading interest, and lack of review material. Based on the findings, it can be concluded that the second-year students of SMA Negeri 9 Pekanbaru have difficulty on reading analytical exposition text, and it is recommended for the students to learn and practice more about analytical exposition text, and for English teachers are suggested to give more detailed explanation and exercises about analytical exposition text.
The Effect of Generating Interaction Between Schemata and Text (GIST) Strategy on Reading Narrative Text of SMK YPIS MAJU Binjai

The objective of this research is to find out the effect of Generating Interaction between Schemata and Text (GIST) Strategy on reading the narrative text of the 2019/2020 tenth years of SMK YPIS Maju Binjai. This research conducted in SMK YPIS Maju Binjai, which is located on Jl. T. Amir Hamzah village Jati Utomo District of North Binjai Binjai. In this study the sample is divided into 2 groups namely the control class and the experimental class. Each class consists of 32 students. The control class is a class that does not apply the GIST Strategy while the experimental class is a class that uses the GIST Strategy. In this research method is the type of experimental research which is one type of research which aims to provide an overview of the influence of variables x and y variables. The average value of the pretest and posttest the student's ability to control class was 64.4 and 67,2 with standard deviation value of 9.6 and 9,3. The average value of the pre-test and post-test the student's ability experimental class was 70,6 and 78,6 with a standard deviation of 6,9 and 7,5. Based on data normality testing it is known that the overall data both control class and experimental class data are normally distributed data. While the homogeneity of data testing is known that the overall data is homogeneous type. With the price of t = 64,3, r criticism known price at the level of 5% gained 3,65 then 64,3 &gt; 3,65, then the hypothesis of a significant means of experiments conducted have an influence on the experimental group. So that the proposed hypothesis that there is significantly effect of Generating Interaction Between Schemata and Text (GIST) Strategy on reading the narrative text of the 20 19/2020 tenth years of SMK YPIS Maju Binjai”.
The Implication of Communication Framework towards The Selayah Keringkam as a Form of Communication

The role of communication in embroidery has increased through the diversity of cultural or heritage.Motif in textile possess an important communicative role as an extension of spoken and written language.This research focuses on motif of Selayah Keringkam embroidery as a content to be delivered through communication channels, 4C's Effective Communication that consists of Comprehension, Connection, Credibility and Contagiousness.Mix methods have been using in this study by distributing 50 set of questionnaires and in-depth interview session with related authorities.Conceptual framework in this study aims to position Selayah Keringkam embroidery among tourist to raise awareness of this cultural product.
Klasifikasi Curah Hujan Menggunakan Neuro-Fuzzy System Melalui Citra Radar Cuaca

Rainfall intensity can be measured one of them through the reading of the reflectivity of raindrops on the weather radar. Reflectivity values are represented through colors in the visualization of two-dimensional radar images. Based on several approaches to the classification of weather conditions through radar data that has been successfully carried out, a system is designed to classify rainfall according to weather conditions in an area by utilizing weather radar imagery.The system implementation is carried out in several stages, namely pre-processing, feature extraction and labeling, and classification. Pre-processing is done to visualize radar data from Yogyakarta Climatology Station into a two-dimensional image. After capturing features using the RGB and HSV methods and labeling the rain class, classification is performed using the Neuro-fuzzy algorithm with the Adaptive Neuro-fuzzy Inference System (ANFIS) architecture. The results showed that the Neuro-fuzzy System algorithm was able to classify rainfall better on the RGB feature with an accuracy of 85.02% and a precision of 86.19%, while for the HSV feature the accuracy was 82.68%, 86.67% precision.
Rancang Bangun Sistem Informasi Rekam Medis Berbasis Web

Abstractâ€” A medical officer in conducting health services must make a medical record and must report the medical records to the government hospital or local health department. With these problems in place, this study seeks to build a web-based medical registration system. The system built is expected to be able to accelerate the writing of medical records and provide information to the public wherever and whenever that can be accessed via the internet. Furthermore, in terms of reporting between medical officers and health services faster because medical staff can report the patient's medical record recapitulation through a web-based system, and the health department can print reports on medical records through the system, in addition medical staff can interact with the public by making announcements , health information counseling, and comments relating to medical services.Â Keywordsâ€”: medical records ; information systems; web.
More on the question of functions of contact verbs in Russian and Finnish spontaneous speech (based on usage of verbs katsoa and (po)smotret)

The paper considers the issue of functions of so-called contact verbs smotret in Russian language and katsoa in Finnish in spontaneous speech. These verbs are also classified as pragmatems, i. e. linguistic units which to a large extent have lost lexical or even grammatical meaning but still have an exact function in oral discourse. Despite the fact that some researches of this pragmateme’s group both for Russian and Finnish languages have been made, comparative analyze still hasn’t been fulfilled. Material was collected from the contexts representing oral spontaneous non-public speech in Corpus of Spoken Russian (which is a part of The Russian National Corpus) and ArkiSyn-corpus which represents Finnish oral speech. In both languages forms of imperative (second person, singular) were analyzed: forms katso/ kato in Finnish and smotri/posmotri in Russian. When contexts were collected, they were analyzed from the point of serving of such functions: 1) start marker, 2) navigation marker, 3) final marker, 4) renarrative marker, 5) hesitation marker, 6) search marker. The results of the analyze have shown that there is much in common in functions of these linguistic units in Russian and Finnish spontaneous speech. In Finnish form kato is more frequent than katso, while in Russian smotri is more widely used than posmotri. As for functions, it is clear that start, navigation and hesitation markers are more frequent than final markers, which can be explained by the semantics of the original verb. Contexts with the function of narrative marker were not found. Further comparative researches of other contact verbs of Russian and Finnish language would be promising.
Deep Learning Assisted Relay Matching in Multi-user Pair and Multi-relay Untrusted Networks

In this paper, we study the relay matching based on deep learning in multiple user-pair and multiple untrusted-relay networks. In our previous work, Kuhn-Munkras (KM) algorithm was utilized with the goal of maximizing the system secrecy rate based on the weight design. However, the computational complexity of KM algorithm is very high with the number of user pairs and relays increased. Due to the fact that deep neural network (DNN) is capable of dealing with the complex nonlinear relationship and reducing computational complexity, the deep learning assisted maximum weight matching between user pairs and untrusted relays is adopted to address this issue. And batch normalization is used to accelerate the network convergence. The simulation results show that the proposed approach almost obtain the same average user secrecy rate as the conventional KM algorithm, while the system complexity is reduced.
Information Systems Inventory of Goods in The Warehouse at PT. Transvision

On the other hand, the system currently running at PT. Transvision, especially in the inventory section, in data processing errors often occur delays in goods orders due to monitoring of stock items that are still done manually with the number of items available. Even if the goods that consumers are looking for are in empty stock because the delay in stock input of goods can cause sales to decline, the goods that should be able to be sold cannot be sold. The author makes a problem limitation only on the Inventory Information System at PT. Transvision Banda Aceh using Visual BASIC.NET application, which is the purpose of writing, namely to identify and design the Inventory Information System at PT. Transvision Banda Aceh. There are two methods that the author uses to collect data, namely field studies and library studies. From the results of research and observations that have been made at PT. Transvision Banda Aceh, it can be concluded that the existence of this Inventory Information System Program Information system at PT. Transvision Banda Aceh becomes precise, and accurate, especially in the inventory section. And obtain information about the inventory of these goods becomes easier and this information system is able to solve problems that often occur at PT. Transvision Banda Aceh is difficult in controlling and supervising the inventory of goods and planning the procurement of goods. This procurement information system can avoid excess inventory and overcome the scarcity of goods which is of course highly expected by business actors so that an information system program is created in order to obtain quality information.
A Survey on Efficient Management of Large RDF Graph for Semantic Web in Big Data

Semantic web expands the web principles by allowing the computer to understand and easily analyze the data on web. Presently, RDF is used as a triplet model for the semantic web. There is primary need for efficient storage, data retrieval from RDF graph of semantic web in live world application. This paper compares work done in semantic web and also discusses the various challenges involved including scalability, real-time efficient storage and query processing in graph oriented distributed database. The different approaches compared are direct relational mapping approach, entity-based perspectives with different indexing techniques for querying linked data for multilevel indexing framework and graph-based approach. This paper provides an overview of the features and techniques for storing the RDF graph and managing the metadata of data for the semantic web.
Diagnostic Value of Contrast Enhanced Mammography in Detection of Cancer Breast

Abstract Background: Breast cancer in women is a major public health problem throughout the world. It is the most common cancer among women both in developed and developing countries. Aim of Study: This study was undertaken to assess the diagnostic value of contrast enhanced mammography in detection of cancer breast.. Material and Methods: During the period from December 2015 to January 2017, 129 cases with 194 breast lesions in a prospective study presenting with various suspicious or equivocal lesions on mammography that underwent CEDM evaluation to test its diagnostic performance in the final diagnosis using the histopathology results as the gold standard of reference. The study includes 9 patients with past history of breast operations. Descriptive statisticswere used to analyze the data. Results: There were 129 females (the ages ranged from 25-88 years with a mean 50 years) with 194 lesions. Of these lesions 162 (83.5%) are malignant and 32 (16.5%) are benign. The study demonstrated contrast enhancement in 91.9% of the malignant and 41% of the benign lesions. Contrast en-hancement was observed in 136 malignant lesions. 22 (14.9%) lesions of malignant lesions took homogenous enhancement and 114 (77%) lesions took heterogeneous enhancement. In our study the margin of mass enhancing lesions showed ill-defined and speculated margins were significantly higher in malignant lesions. Conclusion: The use of dual energy contrast enhanced mammography technique can significantly improve the diag-nostic quality and cancer detection rate.
Perancangan Aplikasi Penyedia Informasi Perguruan Tinggi Bagi Pelajar SMA/ Sederajat dengan Metode Participatory Design

Continuing study to higher education is an important thing for most of high school students, but there are still obstacles related to the information availability of higher education for high school students. These constraints can be divided into 3 categories, namely limited university information, limited department information, and limited registration information. Currently, there are university information apps, however those applications have not been able to overcome the three categories of obstacles faced. Thus, an design for application that can handle these problems. In this research, a design for application for information about higher education providers was conducted. The application design consists of 4 stages, started by determining needs using the focus group discussion method which involved 9 respondents and produced 23 needs. The second stage, determining design alternatives using the participatory design workshop method involving 8 respondents and producing 4 design alternatives, and selecting an alternative design involving 19 respondents. The third stage is making a high-fidelity prototype with the help of Adobe XD software. In the last stage, evaluation and improvement are carried out by considering the factors of usefulness, effectiveness, efficiency, learnability, and satisfaction. The result of this research is a design of application that provide information about university that meets aspects of functionality and usability. Those aspects including the usefulness factor 81.79%, the effectiveness factor 82.14%, the efficiency factor 82.14%, the learnability factor 71.43%, and the satisfaction factor 79.64%. Based on these results, this application able to use and meets user needs.
Referente didáctico para la autoría de recursos educativos digitales en la Facultad de Estudios a Distancia de la Universidad Militar Nueva Granada (Colombia)

This article describes the significant learning experience achieved over the years by the administrative and teaching team attached to the Academic Directorate of Multimedia Development (DADM) of the Faculty of Distance Studies (Faedis) at the Nueva Granada Military University. It is intended to condense and guide the main premises when developing the multimedia study material for the Faedis. Therefore, the main historical milestones and the guidelines that make up the author's manual or useful didactic guide are narrated for the creation of educational and curricular digital content in technology-mediated education.
Comparative study of standalone classifier and ensemble classifier

Ensemble learning is one of machine learning method that can solve performance measurement problem. Standalone classifiers often show a poor performance result, thus why combining them with ensemble methods can improve their performance scores. Ensemble learning has several methods, in this study, three methods of ensemble learning are compared with standalone classifiers of support vector machine, Naïve Bayes, and decision tree. bagging, AdaBoost, and voting are the ensemble methods that are combined then compared to standalone classifiers. From 1670 dataset of twitter mentions about tourist’s attraction, ensemble methods did not show a specific improvement in accuracy and precision measurement since it generated the same result as decision tree as standalone classifier. Bagging method showed a significant development in recall, f-measure, and area under curve (AUC) measurement. For overall performance, decision tree as standalone classifier and decision tree with AdaBoost method have the highest score for accuracy and precision measurements, meanwhile support vector machine with bagging method has the highest score for recall, f-measure, and AUC.
The Concretization of the Literary Work of Art: Elements for a Comparison between Roman Ingarden and Wolfgang Iser

The notion of concretization introduced by Roman Ingarden in his seminal work The Literary Work of Art makes the reader the one responsible for the creation of the literary work of art as an aesthetic object. Prior to the act of reading, “the work itself,” in Ingarden’s analysis, is a structure of various strata: the stratum of verbal sounds, the stratum of meaning units, the stratum of schematized aspects, and the stratum of represented objectivities. The reader concretizes the work, turning the schematic formation into an accomplished aesthetic object. Concretization is accomplished by adding determinations to the schemata of the text on all strata. By way of their psychic operations readers fill in places of indeterminacy and establish the world of the literary work of art. Wolfgang Iser takes up Ingarden’s concept of places of indeterminacy to develop his own position. Iser recasts the concept of indeterminacy in the form of gaps or “blanks” which allow for more functions and forms than those stated in Ingarden’s analysis. For Ingarden, the process of reading moves in one direction: from the real world to the imaginary (intentional) world. For Iser the process of reading is two-directional: the reader fills in the blanks of the imaginary world using the memory traces collected in his or her mind that derive from the life-world. An attempt to clarify the main points of Ingarden’s phenomenology of reading, may, therefore, elucidate Iser’s contribution. In addition, the notion of concretization has seen many criticisms (R. Wellek, G. Poulet, S. Fish, D. Barnouw among others), and the topic deserves renewed attention.
Android Based Hate Speech Search Applications Using TF-IDF Algorithm and Vector Space Models

The freedom in the use of social media becomes a common means in voicing opinions and expressions byissuing words or phrases of blasphemy (Hate Speech) in social media like Facebook. Hate speech and blasphemouswords are easily spread across social and general media not found that have transgressed the limits and can trace theunrest. To find out what the users of social media especially Facebook we have issued words or phrases of blasphemyon the basis of this report occurred. The study was conducted by using TF-IDF weighting algorithm and VSM (VectorSpace Model) calculation, while the data used was the 30 users post using Graph API. This research resulted in searchwith recall value: 2/2 = 1 which means the result of the relevant document and the precision value of the search resultis 2/13 = 0,154 which means result also raises irrelevant search result. Percentage of hate speech equivalence valuewas 43%.