Reviewerly/exHarmony huggingface dataset:
SISTEM INFORMASI E-PRESCRIBING ( STUDI KASUS : INSTALASI RAWAT JALAN PADA RS TK II DR AK GANI PALEMBANG)

The development of science and technology has been able to support various needs and requests for  information from users, making information has become a major requirement in a company. AK Gani Hospital in Palembang is a hospital which is organized by The Indonesian Army to organize health services. In this hospital,doctors prescribe the prescription by handwriting and if there is unclear handwritten prescription,it will lead to errors during compounding or preparation of drugs in the use of prescribed drugs.Therefore the purpose of this research is to produce the development of an EPrescribing information system or online prescription based on the Rational Unified Process Method. The function of this system is as digital prescriptions, drugs and diseases recording in outpatient care installation. By using e-prescribing systems can facilitate the doctors in prescribing online. The workflow of this system involves three entities: Doctors, Pharmacists, and Administrators. In E- prescribing, there are several steps involved: Authentication, identification of patients, looking at patient data, drug selection, filling in parameters, looking at pharmacy and printing documents. By using e-prescribing, renewal authorization can be an automatically working process that increases the efficiency of prescribers (doctors) and pharmacists.
The Indian chefs process

This paper introduces the Indian chefs process (ICP) as a Bayesian nonparametric prior on the joint space of infinite directed acyclic graphs (DAGs) and orders that generalizes the Indian buffet process. As our construction shows, the proposed distribution relies on a latent Beta process controlling both the orders and outgoing connection probabilities of the nodes, and yields a probability distribution on sparse infinite graphs. The main advantage of the ICP over previously proposed Bayesian nonparametric priors for DAG structures is its greater flexibility. To the best of our knowledge, the ICP is the first Bayesian nonparametric model supporting every possible DAG involving latent nodes. We demonstrate the usefulness of the ICP on learning the structure of deep generative sigmoid networks as well as convolutional neural networks.
Optimizing Distance Computation in Distributed Graph Systems

Given a large graph, such as a social network or a knowledge graph, a fundamental query is how to find the distance from a source vertex to another vertex in the graph. As real graphs become very large and many distributed graph systems, such as Pregel, Pregel+, Giraph, and GraphX, are proposed, how to employ distributed graph systems to process single-source distance queries should attract more attention. In this paper, we propose a landmark-based framework to optimize the distance computation over distributed graph systems. We also use a measure called set betweenness to select the optimal set of landmarks for distance computation. Although we can prove that selecting the optimal set of landmarks is NP-hard, we propose a heuristic distributed algorithm that can guarantee the approximation ratio. Experiments on large real graphs confirm the superiority of our methods.
LibGuides: ENGL 3050: Writing Pedagogy: Getting Started

The purpose of this course guide is to provide research and library resources for ENGL 3050.
Article 15 derogations: Are they really necessary during the COVID-19 pandemic?

Since the beginning of the COVID-19 pandemic, a few human rights academics argued that human rights can be better protected if the governments derogate from international human rights mechanisms during the pandemic In doing so, these governments clearly separate the regime of emergency from normalcy and hence they limit in time the measures they adopt to fight the pandemic Article 15 allows such derogations from the European Convention on Human Rights (ECHR) In this short contribution I question the fundamentals of this argument First, the quarantining effect of derogations is often proven by references to military emergencies I argue that health emergencies are substantively different from the military ones and it is incorrect to draw direct parallels between them Secondly, I argue that human rights enshrined in the ECHR have a “natural quarantining effect” and Article 15 derogations are unable to change the Court’s approach to human rights during the pandemic significantly © 2020 Thomson Reuters and Contributors
Sistem Pakar Diagnosis Penyakit Tanaman Karet dengan Metode Fuzzy Mamdani Berbasis Web

Rubber plants can be attacked by various diseases originating from fungi, pests, animals and even cancer cells. A method that is able to diagnose rubber disease is needed so that it is hoped that it can help farmers detect symptoms early so that the productivity of rubber plantations can increase. This study developed an analysis of the results of the diagnosis of rubber plant disease using the Mamdany Fuzzy method. The choice of this method departs from the fuzzy mamdany research which states that the fuzzy mamdany method is able to resemble the workings of the human brain intuitively. With the implementation of the Expert System for Diagnosis of Disease in Rubber Plants with the Fuzzy Mamdani Algorithm, the work of diagnosing rubber plant diseases can be done more automatically. With 33 sympthon parameter data for rubber plant disease symptoms and 14 classes of rubber disease diagnosis tested using the Mamdany Fuzzy algorithm, the results obtained an accuracy of 81.74%, a value of 5-cross validation of 80.93% and a value of 10-cross validation of 82.30%. This shows that the application of the fuzzy mamdani algorithm produces good accuracy in diagnosing rubber plants.
Sistem Informasi Akuntansi Pelayanan Jasa Rawat Jalan dan Rawat Inap pada Rumah Sakit Umum Mitra Sejati Medan

This study aims to examine both the application and the accuracy of the accounting information system on outpatient and inpatient service at Medan General Hospital of Mitra Sejati. The research method used is a descriptive method using secondary data, in which the obtained data come from existing sources such as the profile of Medan General Hospital of Mitra Sejati, organizational structure, flowchart, and reports of outpatient and inpatient service at Medan General Hospital of Mitra Sejati. Based on the results of this research, it can be concluded that the accounting information system for outpatient service at Medan General Hospital of Mitra Sejati has not been effectively executed. There are a great number of mistakes made by medical staff in inputting patient data. Accordingly, in the future, Medan General Hospital of Mitra Sejati can provide training for employees in using the accounting information system effectively and is expected to improve outpatient and inpatient service to avoid errors that will impact the quality of service in the hospital.
NightOwl: Robotic Platform for Wheeled Service Robot.

NightOwl is a robotic platform designed exclusively for a wheeled service robot. The robot navigates autonomously in omnidirectional fashion movement and equipped with LIDAR to sense the surrounding area. The platform itself was built using the Robot Operating System (ROS) and written in two different programming languages (C++ and Python). NightOwl is composed of several modular programs, namely hardware controller, light detection and ranging (LIDAR), simultaneous localization and mapping (SLAM), world model, path planning, robot control, communication, and behaviour. The programs run in parallel and communicate reciprocally to share various information. This paper explains the role of modular programs in the term of input, process, and output. In addition, NightOwl provides simulation visualized in both Gazebo and RViz. The robot in its environment is visualized by Gazebo. Sensor data from LIDAR and results from SLAM will be visualized by RViz.
Implementasi Enkripsi-Dekripsi dengan Algoritma RC2 Menggunakan Java

Cryptography is a security tool used to hide a message. For that we need a security by means of encryption and decryption of data using cryptographic algorithms Rivest Code 2 (RC2). In the cryptographic algorithms Rivest Code 2 (RC2), designed in java programming netbeans which include the ability to operate directly for RC2 algorithm implemented by mode. Specifications architectures and languages into a specified algorithm implementation does not yet support 64-bit operating efficiently. Therefor, instead of using two 64-bit registers as in RC2, RC2 uses four 32-bit registers. Because it uses four registers there will be two rotation operation on each half-round there, and it will also be a lot of bits that will be used to affect the number of bits that are rotated. This multiplication operation is very effective in producing the effect of diffusion or which of course resulted in the deployment of more secure RC2. Android-based application that is generated by utilizing the latest technology
Metasurface-based microdisplays

Display TechnologyOrganic light-emitting diodes (OLEDs) have found wide application in high-resolution, large-area televisions and the handheld displays of smartphones and tablets. With the screen located some distance from the eye, the typical number of pixels per inch is in the region of hundreds. For near-eye microdisplays—for example, in virtual and augmented reality applications—the required pixel density runs to several thousand pixels per inch and cannot be met by present display technologies. Joo et al. developed a full-color, high-brightness OLED design based on an engineered metasurface as a tunable back-reflector. An ultrahigh density of 10,000 pixels per inch readily meets the requirements for the next-generation microdisplays that can be fabricated on glasses or contact lenses.Science , this issue p. [459][1] [1]: /lookup/doi/10.1126/science.abc8530
The US Congress approves the renewal and permanent extension of the Antitrust Criminal Penalty Enhancement and Reform Act

On June 25, 2020, Congress approved the renewal and permanent extension of the Antitrust Criminal Penalty Enhancement and Reform Act (ACPERA or “the Act”), which limits the civil damages exposure…
Information design from my window

Abstract Information Design and its supporting research developed in parallel. Information design cannot exist without research. During the last 50 years, the development of my information design practice was prompted and shaped by demanding interdisciplinary projects, by intelligent colleagues and experts in design and psychology, and by reading this journal.
Stabilizing Transformer-Based Action Sequence Generation For Q-Learning.

Since the publication of the original Transformer architecture (Vaswani et al. 2017), Transformers revolutionized the field of Natural Language Processing. This, mainly due to their ability to understand timely dependencies better than competing RNN-based architectures. Surprisingly, this architecture change does not affect the field of Reinforcement Learning (RL), even though RNNs are quite popular in RL, and time dependencies are very common in RL. Recently, Parisotto et al. 2019) conducted the first promising research of Transformers in RL. To support the findings of this work, this paper seeks to provide an additional example of a Transformer-based RL method. Specifically, the goal is a simple Transformer-based Deep Q-Learning method that is stable over several environments. Due to the unstable nature of Transformers and RL, an extensive method search was conducted to arrive at a final method that leverages developments around Transformers as well as Q-learning. The proposed method can match the performance of classic Q-learning on control environments while showing potential on some selected Atari benchmarks. Furthermore, it was critically evaluated to give additional insights into the relation between Transformers and RL.
Extreme Process Learning Machine Based on Improved Shuffled Leapfrog Algorithm and Its Application

In this paper, an extreme learning machine model with process input is constructed. The improved shuffled leapfrog algorithm based on three evolutionary strategies autonomous selection is proposed to optimize the number of hidden nodes and network weight of extreme learning machine model. The evolutionary behavior of the worst individuals is determined by calculating the immediate value, the future value and the comprehensive reward of each evolutionary strategy during each iteration. The experimental results show that, compared with five improved shuffled leapfrog algorithms, the proposed algorithm has the best optimization effect in six high-dimensional function optimization and oil well fault diagnosis. It has good practical application value.
PEMANFAATAN FUZZY LOGIC DALAM MENILAI KUALITAS PELAYANAN KARYAWAN PADA DEPARTMENT STORE DI KOTA BATAM

In realizing a prosperous and prosperous society the importance of the role of the developing economy, even in the era of free trade the company faces intense competition one of which is in department stores. The increasing intensity of competition and the number of competitors must always pay attention to the needs and desires of consumers and try to meet consumer expectations by providing more satisfying services than those carried out by competitors. Based on this research, it was found that many problems that often occur are the number of consumers who complain about the lack of satisfaction provided by the department store. This research explains about service, friendliness, and responsibility. In this study a decision support system was made using fuzzy logic. One application of decision support fuzzy logic is the Sugeno Fuzzy Inference System (FIS) Method. From the case examples conducted, it can be concluded that the Sugeno FIS method provides the right decision and is sufficient to assist the company in assessing the quality of employee services. Keywords: Services, Fuzzy Logic, FIS, Sugeno, Matlab
JURNAL BELAJAR UNTUK MENINGKATKAN MOTIVASI DAN EFIKASI DIRI MAHASISWA PGSD

AbstractThe current development of globalization is rapidly increasing, many positive and negative impacts caused. One negative impact is that students are more likely to play with social media compared to learning which is a major demand in 21st century life. Many students are reluctant to read lecture material and write learning outcomes that have been achieved during learning. This results in learning motivation and low self-efficacy. Through the use of learning journals, students will get used to reading and writing them in their individual learning journals. So students understand what they have learned and what they do not know yet. Based on observations made on PGSD University students at Pattimura University, students seemed to be less active in asking questions and expressing opinions, when given assignments they were only done in perfunctory ways, and some even did not. This shows that the motivation and self-efficacy of PGSD students is very low. The subjects of this study were 50 first semester students. The purpose of this study was to determine the increase in student motivation and self-efficacy through the use of study journals. This type of research is Classroom Action Research. The results showed that the use of learning journals was able to increase motivation by 88% and the self-efficacy of PGSD students with very high categories by 90%. Student responses to the use of learning journals are very good, where students are very enthusiastic when in the learning process, opinions and student work are valued. So students have high motivation and self-efficacy towards all assignments given.
Autonomous Drone Racing with an Opponent: A First Approach

Drone racing is a popular sport where human pilots control their drones via radio frequency to fly at high speed through complex race tracks. The latter has motivated to pose the question: could an autonomous drone beat a human in a drone race. Thus, some works have dealt with the autonomous drone racing challenge; however, very few works have dealt with the case of a race when an opponent is present in the track. In this work, we present an initial approach to address the problem of autonomous navigation while considering the presence of an opponent in the race track. To address this problem, we present a compact Convolutional Neural Network that predicts flight commands from a set of camera images captured on the fly. This network has been trained by imitation; this is, the network learns from examples generated by a human pilot. It is important to highlight that there is no explicit gate detection or trajectory planning/tracking in our approach. We have carried out experiments in the Gazebo simulator in a racetrack where the autonomous drone will face an opponent on its way to the gate. Our results show that the network manages to pilot the drone to evade the opponent, and after the evasion, the drone gets on-track towards the gate.
AESTHETIC-DRIVEN IMAGE COMPOSITION ENHANCEMENT : A SURVEY

Composition has a great impact on image. With the development of smart phone, personal digital camera and the social sharing platforms such as Instagram, tons of photos are taken and shared by users. Everyone wants to take beautiful pictures. For professional photographers, due to their professional knowledge, such as rule of third, visual balance, diagonal dominance, they know how to adjust their camera and apply their knowledge to take aesthetically pleasing images. However, for amateurs, because of the lack of professional photographic composition knowledge, they usually don’t know how to take a beautiful image. Many factors lead to aesthetically pleasing photos, one of them is composition. Good composition leads to visually pleasing image. In the recent years, image composition enhancement technics has drawn great attention to the researchers by employing the professional composition knowledge. Many methods have been proposed to improve the composition of the images, i.e., image retargeting, warping, seam carving, image cropping. Due to the popularity of deep learning, some AI technics have applied into the Image composition enhancement methods. In this paper, we present a survey of state-of-the-arts aesthetic-driven composition enhancement technics. In this paper, We first introduce the problem of the image composition enhancement problem, then we discuss the development of the computational aesthetics, next we present a comprehensive review of different image composition methods. At last, we give a conclusion after analyzing each method and present a research direction for the future. This survey intends to give the researchers a reference who wants to set foot in the field of image composition enhancement.
Cosmic Code and ‘Energy’ as Fifth Dimension of Universe

Kurt Godel in 1931, proved in his famous ‘Incompleteness theorem’ about nature of mathematics, that there are problems that can not be solved by any set of rules or procedures [1]. Pure mathematical models of string and super string theories are good, but to understand the outcome of these theories you must before hand a clear problem or question on which to apply this mathematics. To deal with such a paradox we can adopt an approach that is called ‘model dependent realism’ as a tool to carve a string model whose predictions can be verified mathematically. The proposed logistic- mathematical model introduces one more dimension “ Energy” as positive fifth dimension of universe [2] as part of our ten dimensional ‘space matrix’ i.e. Space-Time-Energy of universe; with five positive dimensions formed by strings (named as ‘treo’ in model) and five curled up negative dimensions represented by ‘void’. These new observations will further help to describe finer details of working of space matrix and will decipher a new pattern, the ‘cosmic code’ based on S number (1.85539 x 1043 number; a dimension less new constant) which is universal Rhythm, at which all strings constantly vibrate at Planck frequency. [3] The new quantum model, named as ‘treo model’, only uses Planck units to explain the structure of universe and its working, which will lead to quantum gravitation. Treos or strings are described as one object for creation of space-time- energy and all matter. The role of voids is explored, in producing accelerated expansion of universe with its possible consequences, in our Quantum pendulum universe.
Human Resources Information Systems and Their Impact on Employee Performance Assessment Strategy: A Practical Study on Jordan Telecom Company in the Hashemite Kingdom of Jordan

The study aimed to identify the human resources information systems and their impact on the strategy of evaluating the performance of the employees of Jordan Telecom Company. The objectives of the study achieved through a questionnaire were developed for the purpose of data collection. The (SPSS.16.1) statistical software was used to analyze data. The most prominent results were: The level of importance of human resources information systems (the efficiency of human resources information systems, integration with other MIS, responsiveness) in Jordan Telecom was moderate in terms of respondents’ perceptions, as well as the impact of human resources information systems in the performance assessment strategy. Human resource systems accounted for 54% of the variation in the strategy of evaluating the performance of Jordan Telecom employees. In light of the achieved results, the study recommends, the most important of which is the development of human resources information system aimed at tracking the performance of employees to improve their performance and improvement, and recommended the development of human resources management policies, so as to contribute to the detection of the potential and potential of workers.
Analysis of Cloud Forensics Challenges and Solutions

Cloud computing is a rising technical paradigm shift that replaces computational tasks from local devices to non-localized servers. Due to this, cloud computing is generating various provocations for cyber-forensics professionals. Conventional digital forensics expert works in an area in which system elements are within an individual’s natural extension and control frames are adequately determined. Due to cloud, loss of control and loss of security are widely known. Traditional organization's network infrastructure is local so it is easy to receive, store, or investigate. Less consistent cloud service model makes it more difficult due to a mixture of scientific concerns against cyber-forensics in the cloud.
Analysis of the Needs of English Learning Models in Basic Schools

The purpose of this study was to determine the analysis of the needs of the English learning model in elementary schools. Teaching English in elementary schools is currently still used as a subject of choice in local content whose implementation is still not optimal, so the results are also not optimal. Various problems and factors motivate why the results achieved have not been as expected. Qualitative descriptive research method. Data collection techniques through observation, interviews and tests. The results illustrate that the English speaking skills learning model carried out by the teacher, which is called the teacher model or conventional model, in-class V SDN 532 Merangin Regency emphasizes learning activities that are useful for developing writing skills. Learning that is carried out is teacher-centered where during the learning process the teacher plays a very dominant role while students are passive. The activities carried out do not support the development of students' English speaking skills.