Reviewerly/exHarmony huggingface dataset:
A Common Derivation for Parsing and Generation with Expectation-Based Minimalist Grammars (e-MGs)

Expectation-based Minimalist Grammars (e-MGs) are simplified versions of the (Conflated) Minimalist Grammars, (C)MGs, formalized by Stabler (Stabler 1997; Stabler 2011; Stabler 2013) and Phase-based Minimalist Grammars, PMGs (Chesi 2007; Chesi 2005; Stabler 2011). The crucial simplification consists of driving structure building only using lexically encoded categorial top-down expectations. The commitment on a top-down procedure (in e-MGs and PMGs, as opposed to (C)MGs, Chomsky, 1995; Stabler, 2011) allows us to define a core derivation that is the same in both parsing and generation (Momma & Phillips 2018).
Autonomous Flight Control of a Small Drone Outdoors Using Sliding Mode Control

In this paper, we designed an attitude controller for a quadcopter based on sliding mode control. Autonomous flight experiments on a straight line path were conducted in the outdoors. The control performance of the conventional PID control method and the sliding mode control method designed in this paper was compared at a wind speed of 3 m/s. In the case of PID control, the maximum errors of the lateral direction, roll angle, pitch angle, and yaw angle were 34.6 cm, 2.59 deg, 5.61 deg, and 15.02 deg, respectively, on the other hand, in the case of sliding mode control, they were 20.5 cm, 1.49 deg, 1.43 deg, and 5.62 deg, respectively. Therefore, under a wind speed of 3.0 m/s, the results of position and attitude angle errors indicate that sliding mode control is effective in improving the robustness of the system.
PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) PADA SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN ALAT KONTRASEPSI (STUDI KASUS: PUSKESMAS KECAMATAN RAMAN UTARA)

The choice of contraception is very important. Usually, the acceptors choose the contraceptive that is easiest to use even though the device is not necessarily in accordance with the existing variables, causing errors in the selection of contraceptives and resulting in the failure of the family planning program. This study aims to build a decision support system that can assist in the selection of contraceptives. This study uses the Simple Additive Weighting (SAW) method using 7 criteria variables and a web-based system built. The results of the research conducted indicate that the decision support system built can help provide contraceptive recommendations based on calculations using 7 criteria. Other tests show that the functions contained in the system have been running well according to user needs.
Multi-method Approach for User Experience of Selfie-taking Mobile Applications

Taking selfies is a popular activity in most social media applications and applying filters/lenses to these selfies has become one of the most demanded features of such applications.This paper aims to design an application for taking selfies to minimize the heavy use of beautifying filters.To understand the current user experience of selfie-taking and filter features, multiple user experience research methods were applied in two steps.In the first step, interviews were conducted with 10 participants to collect data.The key findings of interviews were (i) the need for saving memories as users' primary goal of using the applications, (ii) the need for using slightly beautifying filters as their preferred filter type, (iii) the need for a favorite filters list, and (iv) the need for the opportunity to edit selfies after they are taken.This output of the interviews was used as an input for determining the survey questions in the second step.A total of 340 respondents completed the survey and the findings were consistent with those of the interviews.Further pointing to the rising opportunity for a new selfie-taking application designed to save selfies quickly without sharing and only apply slightly beautifying filters.More studies should focus on increasing engagement and including a saved selfie categorization feature in the design.
A Method for Visual Interpretation of Word2Vec Static Vector Space

Starting its creation, static vector word models was able solving the task of finding word analogies. This task finds a vector of parallel transition that reflects a word into another one changing a property of a former word. Since the task of finding word analogies lacks of precision, researchers are trying to investigate peculiarities of vector models and corresponding semantic spaces. In this paper, we introduce a new method of visual interpretation of such models. Our method uses thematic word collections, separation of semantic space into word groups using LSA method, and visualization of results using heatmap. We found out that vector semantic space can be interpreted not only on a local level, but on the global one as well. In the former case, the resulting grouping of words depends on the text collection used for the model training. Our method is applicable for finding several top layers because of exponential decreasing of the size of a group.
Sign language translator: Web application based deep learning

As a result of different physiological and accidentals causes for the inability of a man to speak. It becomes necessary to develop an efficient user-friendly technique to translate visual sign language into speech. In this paper, a visual-based translator is proposed as a hand gesture classification model. Region of interest (ROI) and hand segmentation is performed using a mask Region-based Convolutional Neural Network (R-CNN). The classification model is trained using a large number of gestures dataset using Convolutional Neural Network (CNN) deep learning and hosted in a web server. The system has realized a high accuracy of 99.79% and a loss of 0.0096. The trained model is loaded from the server to an internet browser using a special JavaScript library. The hand gesture is captured using a smart device camera and applied to the model to provide a real-time prediction.
Changing Data Image Into Numeric Data on Kiln Manufacture Machinery Use Optical Character Recognition (OCR)

In the process of making ceramic tiles, there is a combustion process using a kiln manufacture or oven. To ensure the combustion process goes well, 39 parameters are monitored on the kiln engine which must be monitored manually based on the data generated by the image on the kiln engine. The process of monitoring these parameters is ineffective due to human error or negligence and other human traits that result in losses for the company. Therefore, a system is needed to store the parameter data of the ceramic tile combustion engine which can be stored in a database. After analyzing the kiln, the sensor recorder that displays parameter data can be accessed via a LAN (Local Area Network), but the data generated is in the form of an image, not in the form of alphanumeric digital data. The image data obtained need to be translated into alphanumeric data as a data source. Through the introduction of optical character recognition (OCR) with the template matching method, the image is converted into alphanumeric data so that it can be stored in a database. From the results of this study, the prototype system made obtained an accuracy of 100.00% for the conversion of image data to alphanumeric data.
Motion Generation Using Reinforcement Learning for Violin-performance Robot

We are building a system that can automatically determine the bowing and fingering parameters for our anthropomorphic robot to perform the violin. We adopt the reinforcement leaning with ε-greedy policy, in which a neural network is embedded as a value function. This paper presents simulation results for determining the bow speed and the bowing-direction under the constant bow-force condition. Effects of the discount factor γ and the exploring rate ε on the bowing motion are investigated, while the previous study focused only on the discount factor. Simulation results suggests that by choosing appropriate values for the parameters, we can obtain the bowing parameters with higher reward values than the previous report, which means that the robot can produce sounds close to the target.
An Error Analysis on Using Present Continues Tense

The purpose of this study was to analyze the students’ error in using present continuous tense. The specific objectives were to analyze the percentage of the students’ error and their causes. In analyzing data, the researcher collected the data from the test that must be filled in by the students, identified the students’ errors on their answer sheet, described the types of students’ errors, counted it and analyzed. This research used the descriptive qualitative as the research method, in which include counted on analyzed and present the result of study by described on concluding it. The subject of this research is eight B grade students of SMP N 3 Karawang Timur, amounting to 40 students. The finding showed that there are 375 items of error made by the students. It is found that 56 items or 14,9% errors are addition, 79 items or 21,07% errors are misformation, 55 items or 14,7% errors are misordering, and the most dominant error was error in omission with the frequency 185 items or 49,33%. The causes of error are based on the theory by John Norris (Carelessness, first language inference, and traslacion).
Development of the Application to Promote Daily Physical Activities in Adolescents

Many people, especially adolescents, use mobile applications to control their physical activities and reduce sedentary behaviors. While a large variety of sports applications are available, detection of the activity type is a new research area. There are also specific methods how to measure and collect data or control the type of sports activities. Literature research shows that analysis of the current sports application market is evolving in a fast speed. Some authors show that neuron networks can help detect and analyze specific data of sports activities using sensors or mobile phone. The aim of this research was three-folded: 1) to develop sports application for a simple exercise to promote physical activity in adolescents, 2) to study the abilities of artificial intelligence in a sports application context, and 3) to create an application for detecting and counting everyday physical activity. Methodology: two applications were created, (1) for data collection, and (2) for everyday usage. Many deep learning models and their parameters were tested. Results: application prototype to detect one simple physical activity (squats) using neuron networks was created, one neuron network model to detect and count activity squats was made. Neural network models for walking and jumping rope were created. Conclusions: it is possible to use sports application for adolescents to promote their physical activity. The neuron network model can be used in mobile phone, while the use of this model is dependent on various factors.
Real Time Tracking Trajectory and Obstacle Avoidance for Two Mobile Robots by FLC and NMPC

Fast solution procedures are still persist as a challenge for autonomous mobile robot control for tracking trajectory, while simultaneously detecting and avoiding static and dynamic obstacles.In this work, two fast controllers are investigated: the Fuzzy Logic Controller (FLC) and the NMPC based on the Knowledge Particle Swarm Optimization (KPSO).Theses controllers are used to control two mobile robots at the same time for trajectory tracking and obstacle avoidance in a dynamical environment.Simulation and experimental results are presented for the studied controllers.The results show that the FLC has the fastest computation time with an acceptable accuracy in tracking trajectory and obstacle avoidance while the control signals smoothness and robots navigation accuracy are very good with the NMPC-KPSO.In this latter case, the computation of the control signal needs to be shortened.
RASPBERRY PI SEBAGAI STORAGE VERSION CONTROL SYSTEM TUGAS MAHASISWA POLITEKNIK NEGERI MALANG

File transfer technology is now beginning to develop rapidly, many researchers have begun to develop file transfer methods, now file transfer is present in daily life in various ways. For example, in human life there are many more uses of flash memory for the process of moving files. This makes it risky to get a virus from another computer or laptop that results in file loss. In this study, we are developing a file transfer that can simultaneously manage the user to apply file version control so that the file is still written to the repository and has its own version of each uploaded file. It is hoped that implementing a version control system will help students keep all files in the repository they are working on and make changes to each file. It is expected that this study will help provide an alternative to assessment by each faculty member and may speed up and facilitate decisions related to student assessment at Malang State Polytechnic Institute. The results of this study show that the file transfer QoS on the polynema network has a packet loss value of 0%, latency of 0.672ms (download) and 0.447ms (upload), and a throughput of 330 kbps (download), 544.50 (upload)
Algorithms and Tools for Securing and Protecting Academic Data in the Democratic Republic of the Congo

This paper deals with the implementation of algorithms and tools for the security of academic data protection in the Democratic Republic of the Congo.It consists principally in implementing two algorithms and two distinct tools to secure data and in this particular case, academic data of higher and university education in the Democratic Republic of the Congo.The design of algorithms meets the approach that any researcher in data encryption must use during the development of a computer system.Briefly, these algorithms are steps to follow to encrypt information in any programming language.These algorithms are based on symmetric and asymmetric encryption, the first one uses Christopher Hill's algorithm, which uses texts in the form of matrices before they are encrypted and RSA as one of the asymmetric algorithms, it uses the prime numbers that we have encoded on more than 512 bits.As for tools, we have developed them in php which is only a programming language taken as an example because it is impossible to use all of them.The tools implemented are based on the algorithms of Caesar, Christopher Hill, and RSA showing how the encryption operations are carried out thanks to graphical interfaces.They are only tools for pedagogical reasons to help students and other researchers learn how to use developed algorithms.We have not developed them for pleasure but rather to be used in any information system, which would prevent and limit unauthorized access to computer systems.They will not be used only for the management of academic fees but for any other information system, which explains and shows the complexity of the tools developed.We have not been able to solve the problems of versions for How to cite this paper:
Recognition of Human Body Members and Movements For Kindergarten Kids Based on Android

&lt;p&gt;&lt;em&gt;Learning media needs to be used as a supporter of material delivery to reduce failure in communication and maximize the ongoing process of teaching and learning. Early Childhood Education is in dire need of learning media. With android technology based on android smartphones, learning media becomes more interesting, easier and not boring to learn anywhere and anytime. Learning media in android smartphones are better known as learning applications. The MDLC method is an appropriate method in designing and developing a multimedia application which is a combination of image, sound, video, animation and other media. The MDLC method has six stages as follows: Concept, Design, Material Collecting, Assembly, Testing and Distribution. Recognition of Human Body Members and Movements for Kindergarten Children Based on Android. This application is made using the Android Studio programming language as a medium for making and other supporting software to create images of human body parts. The results of developing educational applications as learning media for early childhood can help in understanding and studying each member of their body.&lt;/em&gt;&lt;strong&gt;&lt;/strong&gt;&lt;/p&gt;
An Ingenious Approach to Create Compassionate Teaching and Learning Environment

Abstract :The topology of Teaching is changing its wings from a vibrant classroom to an ingenious active-based classroom. In this context, up-gradation to build an adaptable Covid-19 system that revamps the traditional way of Teaching tautology to a generic active learning-based system has been essential aid in the topology of Teaching and Learning mechanisms. A conventional adaptive active learning system that justifies the topology needs and pedagogy builds a passionate Teaching and Learning environment. This paper illustrates a pedagogy selected to outline the OSI Model in the Computer Networks and vibrant the deliberate classroom environment to an active learning classroom environment that inspires the classroom teaching form to a compassionate Tautology of Active Learning environment. The literature suggests many ways to imbibe a concept, but literature misrecollects the pedagogy's selection according to the topology. Keywords : Topology, Tautology, Vibrant, Active Learning environment.
Exploring Synaespatia within a Networked Musico-Spatial Virtual Environment

This paper addresses the conference theme of futuristic co-creation through interdisciplinary research that brings together the fields of spatial design, music and sound and spatialisation in virtual reality (VR).We describe a 'Networked Musico-Spatial Virtual Environment' (NMSVE) that spatialises, in real time VR, frequency distribution and wave forms of live and recorded sound, provides a form of real-time 3D spatial notation of musical instruments (digital drum kit, keyboards) and sends and receives these spatialisations to two or more participants in different continents across the network.Through the NMSVE, new forms of 'synaespatia' can be enabled as the experience of sound and music through cross-domain spatialisation across a range of networked performance modalities.Whilst the technologies were developed primarily to advance musico-spatial performance, they offer significant potential to enable new understandings of sound and music for the hearing impaired and as a research tool for architectural acoustics.
Implementation of the C4.5 Algorithm in Predicting the Number of Outpatient Visits Using JKN-KIS at Noongan Hospital

Since 2013, the government has issued the National Health Insurance (JKN) program through the Social Security and Health Administration (BPJS Kesehatan) to provide social and health insurance services. JKN participants will get a Healthy Indonesia Card (KIS) to ease the burden of medical expenses at the hospital. During the pandemic of Covid-19, Noongan Hospital was included as one of the referral hospitals for COVID-19 patients for nearby hospitals and health centers with a coverage of the Southeast Minahasa district, North Sulawesi. Noticeably, 70% of its patients use the JKN-KIS card to get health treatments and more than half the number of patients are outpatients. To anticipate the number of outpatients visits using JKN-KIS, a web-based application was built to generate a predictive model using the C4.5 algorithm. The performance of this predictive model has a classification accuracy of 91,7% and both precision and recall of 95%. The number of outpatient visits using JKN-NIS has increased by 83,33% since the pandemic of Covid-19. Examination flow, medical check-up, queue length, doctor’s expertise, and health treatment objectives are the most influencing factors for outpatient visits. This predictive model provides future insights for the hospital management to rationally allocate healthcare resources and improve the efficiency of outpatient services. Keywords—3 Health Treatments, C4.5 Algorithm, Prediction, Covid-19
Mobile Application Smartphone: Does It Improve the 21st Century’s Competence of Vocational School Students?

Gadgets or smartphones have become primary needs for everyone, especially students and teachers during online learning. These devices provide helps in searching for unlimited learning resources. However, there are only few which provide vocational learning resources. As a solution to this problem, it is important to study and develop mobile application-based media to improve students’ competence. The product was developed using the ADDIE model and was tested on students and teachers at a vocational school in Yogyakarta. The results indicate that Android-based mobile media is very feasible. The empirical testing result also shows that the developed product can promote 21st century’s competence.
Planning in RTS Games with Incomplete Action Definitions via Answer Set Programming

Standard game tree search algorithms, such as minimax or Monte Carlo Tree Search, assume the existence of an accurate forward model that simulates the effects of actions in the game. Creating such model, however, is a challenge in itself.One cause of the complexity of the task is the gap in level of abstraction between the informal specification of the model and its implementation language. To overcome this issue, we propose a technique for the implementation of forward models that relies on the Answer Set Programming paradigm and on well-established knowledge representation techniques from defeasible reasoning and reasoning about actions and change. We evaluate our approach in the context of Real-Time Strategy games using a collection of StarCraft scenarios.
Diversification relatedness and economic performance: does the resource plasticity channel matter?

In this paper, we examine the link between corporate diversification relatedness and economic performance through the resource plasticity channel.In order to do so, we estimate a dynamic panel on a data set of 2,396 diversified firms from the euro area over the 2010-2017 period.Our empirical research documents that a percentage point increase in the level of unrelated diversification is significantly associated with a 1.52 percent improvement in performance and vis-à-vis related diversification with a 1.09 percent increase in performance, considering the sensitivity of these relationships to resource plasticity.These findings contribute to the literature by documenting that diversification relatedness positively impacts performance.Furthermore, evidence is also consistent with the proposition that this relationship is sensitive to resource plasticity.Our results hold after controlling for endogeneity bias and are robust to alternative variable specifications.
A PRÁTICA DA PSICOTERAPIA FAMILIAR COM A INSERÇÃO DE PESSOAS COM DEFICIÊNCIA: uma revisão sistemática da literatura

SOBRE OS ORGANIZADORES 90the dentist's role in achieving the maintenance of the mother's general health.METHODOLOGY: The present study is a review of the literature with a quantitative approach and descriptive character.The articles were obtained after searching the Database: VHL.Database: LI-LACS and BBO.With the use of keywords: Oral health, Pregnant women and Health Education.As inclusion criteria: full text available, articles in Portuguese, articles published between the years 2012-2022 and original articles.RESULT: The lack of knowledge about oral health makes many pregnant women continue to practice wrong habits, causing many oral pathologies.Therefore, it is necessary to disseminate correct information about dental treatment during pregnancy, in addition to reinforcing the training of dentists to serve this specific public.CONCLUSION: Based on strategies implemented by dentists in prenatal care, the pregnant woman can act as a multiplier agent of preventive information, thus contributing to the promotion of oral health.