Reviewerly/exHarmony huggingface dataset:
ANALISA SISTEM INFORMASI AKUNTANSI GAJI DAN UPAH DALAM RANGKA PENGENDALIAN INTEREN PADA PT. XYZ

ABSTRACT The wage and salary accounting system is a framework of procedures that are interconnected according to a comprehensive scheme for carrying out the main activities and functions of the company, Internal control is an element of the system that includes the organizational structure, methods and measures which are combined to maintain organizational wealth, check reliability and the rigor of accounting data, encourages competence and encourages compliance with management regulations PT XYZ's salary and wage accounting information system is not in accordance with the supporting theory, although it can be assisted with fingerprint software, Ms Office Excel, and the Accurate Accouting System, but related functions are still not ideal, so that internal control in the salary accounting information system and wages can still be increased, namely in the related functions section, where the division and division of duties are dominant in the financial sector, by forming parts that do not exist such as the employment function, PPh21 function, and other functions, in accordance with the prevailing theory. In the context of internal control of the salary and wage accounting information system, companies are advised to add a performance management system in the form of KPI (key performance indicator). Keywords:  The wage and salary accounting system, internal control, performance management System
The Determination of The Defender Position in Football Uses The Magiq (Multi-Attribute Global Inference Quality) Method

Defender is a stronghold to a football team. Generally position defender there are four position, among other the centre back, full back, wing back, and sweeper. There are ten parameter used to measure defender. Among other things these covering parameter , a heading , pressing , tackling , control , passing , crossing , the stamina , dribling , and shooting. Because the parameters further many , it makes coach was experiencing problems in putting what is appropriate to players. To help coach in determining the position in accordance with their condition players , then required a decision support system. Methods used in system a supporter of this decision is a method of magiq , it was because the measurement of conformity a player with its position use multi criteria. The system made could not determine the position of the right or left.Testing system do with 20 players.The results the coach agree with the system as many as 15 players.It means system based 75 %.This is because in factor mentality and understanding tactics in playing ignored.
Aplikasi Filling Rekam Medis Menggunakan Metode Algoritma Turbo Boyer Moore

Nagaswidak Health Center is one of the community health centers that is quite large and has complete facilities. But the problem that is often faced by officers in the puskesmas is the medical record data processing system which is still manual, causing the accumulation of patient medical record file data, in addition to patients who have been checked before and lost their medical records, it is very difficult for officers to find back, so the officer made a new medical record data. To overcome this problem, a Medical Records Filling Application was made at the Nagaswidak Health Center which includes the processing of medical records, patient data, drug data, action data, doctor data, and admin logins. So that the data search problem is not difficult, the turbo boyer moore algorithm method is applied which is expected to later be able to facilitate the search for patient data in the medical record filling application. Based on the test results Boyer Moore's Algorithm successfully applied to search for the beginning of a word, middle word, and final word. And the level of ease and usefulness of medical records application using Boyer Moore's algorithm obtained results that the level of ease is 80% and 100% usability rate.
Efektivitas Media Board Games Digital Pada Materi Degree of Comparison Untuk Meningkatkan Motivasi Belajar Bahasa Inggris Siswa SMP di Surabaya

English is an international language which the existence is now highlighted, because it is a language that must be studied in this modern era. Language is a window to the world, through language we all can communicate with each other. This is one of the factors of why English must be studied and become one of the compulsory subjects tested for national exams. This study aims to develop digital board games media to improve student motivation to learn English. This study used an experimental research type, using a control group design consisting of two research groups, namely the experimental class and the control class. The control class used the conventional learning method, while the experimental class used the learning method using digital board games as media. The data collection used a student learning motivation questionnaire. The data obtained were analyzed using the independent sample t-test. The results of the student learning motivation questionnaire before using the Board Game Digital media was 52.7 and the group score after using the Board Game Digital media was 67.7. Furthermore, from the results of the calculation of the t-test on learning motivation, it shows that both groups of learning materials are 0,000 or a significance of <0.05 (0,000 <0.05). The results of the independent sample t-test for learning motivation are 0,000 or a significance of <0, 05 (0.000 <0.05) has a significant meaning in increasing student motivation. The development of digital board games media is used to increase student learning motivation in English. It is hoped that further research can improve digital board games media in other forms. The development of digital board games media is used to improve student motivation to learn English subjects, it is hoped that further research can improve digital board games media in other forms.
The Animation of Togo: Achieving hyper realism for 11 CG dogs

Disney+’s ‘Togo’ is a testament to the critical creative partnership between DNEG's Build, Rigging and Animation departments, in the pursuit of a realistic CG dog. This talk will explore the intricacies of creating photorealistic dogs from ideation to finish, demonstrating the process from an Animation standpoint, while addressing the collaborative nature of the project.
The Use of Technical Experts in Software Copyright Cases: Rectifying the Ninth Circuit’s “Nutty” Rule

Courts have long been skeptical about the use of expert witnesses in copyright cases. More than four decades ago, and before Congress extended copyright law to protect computer software, the Ninth Circuit in Krofft Television Prods., Inc. v. McDonald’s Corp., ruled that expert testimony was inadmissible to determine whether Mayor McCheese and the merry band of McDonaldland characters infringed copyright protection for Wilhelmina W. Witchiepoo and the other imaginative H.R. Pufnstuf costumed characters. Since the emergence of software copyright infringement cases in the 1980s, substantially all software copyright cases have permitted expert witnesses to aid juries in understanding software code. As the Second Circuit recognized in Computer Associates Int’l, Inc. v. Altai, Inc., the ordinary observer standard may well have served its purpose when the material under scrutiny was limited to art forms readily comprehensible and generally familiar to the average lay person,” but as to computer programs, district courts must have “discretion . . . to decide to what extent, if any, expert opinion, regarding the highly technical nature of computer programs, is warranted in a given case.”In a shocking departure from the decisions of every other circuit that has confronted software copyright infringement litigation, the Ninth Circuit reaffirmed and applied the bar on expert testimony originating in Krofft Television Prods. to all copyright disputes, including those involving highly technical computer software code. The court in Antonick v. Electronic Arts held that lay juries must decipher and analyze software code—distinct hexadecimal assembly code languages for different processors—without the assistance of expert witnesses, a rule that the authoring judge characterized at the oral argument as “nutty.”The Ninth Circuit’s rule overlooks the key distinction between the use of technical experts to analyze substantial similarity as opposed to enabling lay judges and jurors to perceive the underlying works. Just as it would be absurd to ask a lay jury with no familiarity with Kanji characters to assess whether a translation of HARRY POTTER AND THE PHILOSOPHER’S STONE into Japanese infringed the English original without the aid of a bilingual translator, it makes no sense to ask a non-technical jury to compare computer source codes written in different assembly languages to determine substantial similarity without expert assistance. We contend, consistent with the views of every court outside of the Ninth Circuit that has addressed the issue, that courts should permit the use of technical experts to enable lay judges and juries to perceive the meaning of computer languages and computer code.
Adaptive decision-level fusion and complementary mining for visual object tracking with deeper networks

Multiple region proposal networks (RPNs) have been recently combined with the Siamese network with deeper backbone networks for tracking and shown excellent accuracy with high efficiency. Although the destruction of the strict translation invariance caused by network padding in the original ResNet-50 is solved by a custom sampling strategy, its impact is not eliminated from the network structure itself, and the multilayer feature fusion is insufficient. To this end, we propose an object tracking framework based on SiamRPN with the deeper backbone networks and cascaded RPN (D-CRPN). First, we exploit the cropping-inside residual units for reforming ResNet-50 to break the spatial invariance restriction and train the robust backbone networks for visual tracking. Then, the feature transfer blocks are proposed to achieve the effective integration of the outputs of multiple blocks in a specific network stage. Finally, to improve the robustness of our tracker, we present a quality measure for the synthetic response maps of RPN modules and then use it to calculate the adaptive weights for the linear weighting method. The extensive evaluation performed on OTB100, VOT2016, and VOT2018 benchmark datasets demonstrates that the proposed D-CRPN tracker outperforms most of the state-of-the-art approaches while maintaining real-time tracking speed.
Research Guides: Exploring Waltham: Resources for Research, Teaching, and Learning: Literature and Search Engines

A collection of resources about the City of Waltham to help students, faculty, and other partners engage with their surrounding community.
Augmented Reality Indoor Environment Detection: Proof-of-Concept

The conventional museum experience offers the visitors glimpses of the past with the narrativelimited to the static art that garnishes it. Through technology we already can mix the past with the future,immersing the visitors in a true dynamic journey across the same walls that guard our history. One of thesetechnologies is the Augmented Reality, which aims to enhance our surroundings into a new era of creativityand discovery. This paper presents the proof-of-concept of an indoor portable environment pose estimationmodule (PEPE) present inside M5SAR, a project that aims to develop a five senses augmented reality systemfor museums. The current state of development of this module shows that is already achievable real-worldwall(s) detection and a new environment superimposition over the detection, i.e., it is now possible to have adynamic museum experience with the ability of transforming rooms into historic live stages.
Digital competence in practice: An investigation of Chinese teachers at Swedish secondary schools

Digital competence in practice: An investigation of Chinese teachers at Swedish secondary schools
LibraryGuides: Having Chemeketa Materials Delivered to a Public Library: Chemeketa Community College Library Guides

Describes how persons who are not students or employees can obtain college materials during remote operation
The Theoretical Foundations of the purposeful formation, in the project method, of the personal quality: “independence”.

The meaning of the word is revealed independently; property that is made up from the essence of self-activity, based on the modeling of students' independent activities. The article shows the types and forms of students' independent activity, the criteria and methods of researching independence, as well as the levels of the formation, the autonomy, the reflexivity, the ingenuity, and the achievement of the final form of them in the practical implementation.
Modified gravity: progresses and outlook of theories, numerical techniques and observational tests

"Modified gravity: progresses and outlook of theories, numerical techniques and observational tests." Contemporary Physics, 61(4), pp. 300–301
MENDESAIN MULTIMEDIA PEMBELAJARA DESIGN THE MULTIMEDIA LEARNING OF MATHEMATICS USING GUI MATLAB

GUI (Graphical User Interface) is a MATLAB tool as multimedia or a tool that can be used in learning mathematics. MATLAB is a high-performance programming language for computing science or mathematical problems. MATLAB integrates computation, algorithm building, data acquisition, modeling, simulation and prototyping, data analysis, exploration, visualization. The GUI toolbox available in MATLAB can be used to build multimedia applications for learning mathematics. With graphic objects such as buttons, text boxes, sliders, menus and others, it helps someone design mathematics learning media as desired.
Deep learning-based holographic reconstruction for color imaging of pathology slides

We present a deep learning-based, high-throughput, accurate colorization framework for holographic imaging systems. Using a conditional generative adversarial network (GAN), this method can be used to remove the missing-phase-related spatial artifacts using a single hologram. When compared to the absorbance spectrum estimation method, which is the current state-of-the art method used to perform color holographic reconstruction, this framework is able to achieve a similar performance while requiring 4-fold fewer input images and 8-fold less imaging and processing time. The presented method can effectively increase the throughput for color holographic microscopy, providing the possibility for histopathology in resource limited environment.
Image encryption using anamorphic fractional Fourier lens with transformation materials

A new anamorphic fractional Fourier transform lens designed by transformation optics is proposed for image encryption. Because of its complicated anamorphic patterns, the image can be encrypted with stronger security compared to the normal fractional Fourier transform based systems. Additionally, the proposed lens is more convenient and flexible than the traditional anamorphic fractional Fourier transform based systems, because it consists of only one gradient refractive index lens. The numerical simulations demonstrated and verified the effects of the proposed lens.
Penerapan model pembelajaran cooperative integrated reading and composition untuk meningkatkan keterampilan membaca pemahaman peserta didik kelas iv sekolah dasar

Abstract . The aim of this research was to improve reading comprehension skill by applied CIRC at fourth grade students of  SDN Ngoto at the academic year 2018/2019.This classroom action research is held in two cycles. Each cycles consisted of planning, action, observation, and reflection. Data collection techniques were observation, interview, test and document study. Quantitative data analysis techniques in this research implemented a comparative descriptive technique, and qualitative data analysis techniques implemented a critical analysis technique.The data validity was investigated by content validity and triangulation methods. The improvement can be known from increased number of students who categorized as skilled in reading comprehension in each cycle. The percentage of classical completeness in the pre-action was only 14,29% increased to 40,74% in cycle I and increased to 84,62% in cycle II. The conclusion of this research is the implementation of CIRC model can increase reading comprehension skill at the fourth grade students of  SDN Ngoto at the academic year 2018/2019. Keywords: Cooperative Integrated Reading and Composition, Reading Comprehension Skill, Elementary School.
'Visceral connection:' Social media streamers capture Kenosha chaos, crime as it unfolds

A new breed of citizen journalism, social media streams offer a real-time look at protests and, sometimes, crimes and chaos.
ENMFM Algorithm Applicable for the Multi-Source Heterogeneous Data Source Model of Power Grid Regulatory Cloud Platform

Abstract With the rapid development of the intelligent grid technology and the arrival of the informationalized big data era, the application of computing method to power grid specialty will be a key step for the value of power grid data. Grid data record is not standard, the confusion caused by a device with multiple recording, professional equipment for power grid name recognition and use of data and algorithm based on identification service work will gradually replace artificial recognition, this paper presents a ENMTM algorithm with the grid raw data, which can identify accurately the same equipment with different names. The equipment name record is an important data of power grid business scenario, however, the same device is easy to describe in different situations or staff’s records, which causes data redundancy and equipment confusion caused by error identification of equipment name. The name recognition is to segment the device name string into a structured element unit which can be calculated by the computer, so as to realize the identification of multiple words with one meaning and devices with different names. In this paper, we study the recognition algorithm of recognition, the establishment of professional word library, segmentation and calculation of similarity recognition. The results show that the ENMFM result error rate is only 3.13%, on the basis of segmentation results and the confusion matrix of device name similarity can be seen that the positive samples has good prediction. In addition, in the experiment, the Top N items of higher similarity were given, which provided the staff with professional judgment to ensure the rigor of work. The calculation method to solve the name recognition of power equipment can greatly reduce the human work of identifying equipment, improve the work efficiency of power professional business scenarios, and lay a solid foundation for the unified data environment of intelligent grid.
Dynamic Problem Solving in Space

The paper presents and illustrates the strong spatial cognition paradigm in the example of catching a flying ball by means of an angular control strategy. The strategy makes constructive use of structural geometric properties of 2- and 3-dimensional space in a way that is similar to strategies used by athletes and animals to catch flying objects. We contrast this strategy to predictive approaches employed in robotics: In these approaches, geometric properties are formally reconstructed from analytical domain knowledge which athletes and dogs do not require for catching balls or frisbees. A familiar spatial constellation of a shadow projection helps to understand the geometric principles which enable a constant angular control strategy. We illustrate the structural geometry of the approach by an interactive implementation in a game engine environment that permits observing and tracing the spatial dynamics. We show how the environment can “compute" for us and illustrate how this structural geometry can be used to solve spatial cognitive tasks.
Automatic Patent Classification

Patents have a great research value and it is also beneficial to the community of industrial, commercial, legal and policymaking. Effective analysis of patent literature can reveal important techni ...
SISTEM INFORMASI PENYEDIAAN ATK PADA STMIK PELITA NUSANTARA MEDAN

Information is not only needed by the community, but also companies, one of which is a company engaged in the field of education, namely STMIK Pelita Nusantara Medan. There is a lot of information in STMIK Pelita Nusantara Medan. Information about education, be it about students, lecturers, lecturer performance, information on student activities and lecturer Information has been based online. But not all information contained in STMIK Pelita Nusantara Medan is based online or database based. One of them is information about the use of ATK information, ATK management still uses Microsoft Excel applications. Management of ATK with Microsoft Excel has disadvantages such as, data entered using sheets, with the amount of data when using sheets, it can make the ATK management section experiencing difficulties. Difficulties can be in the form of difficulty in finding the data needed, must use a formula that must be typed, the difficulty of making monthly reports to find out ATK expenditure. So it is difficult to make decisions in the management of ATK supplies. To facilitate the management of ATK inventory, a database-based application is needed. This research was made using Visual Basic. Net applications and the database used was SQL Server..
LibGuides: HACC Testing: Testing Contact

HACC's Testing Center serves students, faculty, and community members by providing a secure and confidential testing environment for academic, personal, and career advancement.
Method for generating infrared big data for deep learning algorithm training by using small sample data

With regard to precision guided weapon, a large amount of feature data is required for the training of non-cooperative target deep learning recognition models. In this paper, based on the remote sensing data and target temperature information, the variable parameters of big data generation are proposed by analyzing the formation mechanism of infrared radiation characteristics. And then, the 3D temperature field of the target is constructed based on small sample information. Finally, based on the 3D temperature field, multiple sets of infrared characteristic data are generated with different observation angles and sun positions. By analyzing the data results, it can be seen that when the observation angle is changed, the variation of the tank barrel radiation characteristics are up to 80%, and when the position of the sun is changed, the variation of the tank hatch radiation characteristics is up to 100%. The big data generation method proposed in this paper has the characteristics of diverse characteristics, high data scalability and high feature continuity, and can be used as training data for deep learning models.
Research Guides: NorQuest Library Basics: Borrowing & Returning

A guide to accessing and using library resources for online students. This page will provide information on how to borrow physical items from the NorQuest Library and other libraries.
Exploring eye-tracking and augmented reality interaction for Industry 4.0 : Study of eye-tracking and augmented reality for manipulation, training and teleassistance

In this project, we explore eye-tracking enabled interaction in augmented reality for training, teleassistance and controlling Internet of Things devices in the forthcoming manufacturing industry. ...