Reviewerly/exHarmony huggingface dataset:
PDF report generation using weasyprint and pandas in python

Reports are essential in every field. Reports will provide useful information that can be used to help develop marketing plans, manage workforce and improve decision-making thereby increasing the performance of an organization. Automating the process of generating reports is a tedious process. Automating the report generation process can reduce efforts, time taken as compared to manual report generation. This paper discusses an implementation of the automated report generation process using pandas, jinja, weasyprint libraries in python. These libraries provide many functions to analyze the data and finally generate pdf reports of the useful underlying information extracted from the data. Pandas library is used to apply some data analytics operations and extract some useful information from the data set. The pdf generating engine used is the weasyprint. This paper gives an understanding about the functions that are required to manipulate pandas DataFrames, plot graphical visualizations, generate pdf reports with DataFrames and plots using weasyprint.
OPTIMIZATION OF APPLICATION USE MICROSOFT OFFICE EXCEL BASED FOR STUDENT DATA MANAGEMENT

So far, in managing student data in schools using manual methods, the work becomes difficult, ineffective and takes a long time. The many types of student data that must be created by schools make schools strive to manage student data that is practical and stored digitally. By optimizing the use of student administration applications based on Microsoft Office Excel, it is hoped that it can provide convenience in managing student data in schools, especially helping to facilitate the work of administrative staff and teachers in schools. This research was conducted through interviews with several schools which were used as research objects to use student administration applications. The study was conducted in several schools in the Pesawaran district of Lampung province in the 2019/2020 school year. After the school optimizes the use of Microsoft Office Excel-based student administration applications, the management of school student data is organized effectively, practically, doesn't take long, and the data is stored digitally neatly. Keywords : Optimization, Excel MO-based Applications, Student Data Management
Study Guides: Music & Sound Design: Referencing for Music & Sound Design

This guide will help Music & Sounds Design students find and evaluate key resources needed to successfully complete their assessments.
Design Of Stationery Management Information System In Malang Customs

The Intelligence And Enforcement Section At Malang Customs And Excise Was Assigned To Build One Of The Systems Related To The Duties And Sops In The Intelligence And Enforcement Section. One Of The Problems That Were Found Was That The ATK Data Collection System Had Not Implemented The Recording Of Every Use Of Stationery. This Situation Caused The Stationery Number And Availability Not To Be Directly Monitored By The Employees. The Offered Solution For This Problem Was To Design A System That Could Organize The ATK Data Collection. The System Had Various Recording Features Ranging From Requesting Stationery, Monitoring The Availability Of ATK, To Recording ATK Usage. So, Building An ATK Management Information System Made It Easier To Monitor The Availability Of Stationery In Real-Time
Panoptic Segmentation Forecasting

Our goal is to forecast the near future given a set of recent observations. We think this ability to forecast, i.e., to anticipate, is integral for the success of autonomous agents which need not only passively analyze an observation but also must react to it in real-time. Importantly, accurate forecasting hinges upon the chosen scene decomposition. We think that superior forecasting can be achieved by decomposing a dynamic scene into individual ‘things’ and background ‘stuff’. Background ‘stuff’ largely moves because of camera motion, while foreground ‘things’ move because of both camera and individual object motion. Following this decomposition, we introduce panoptic segmentation forecasting. Panoptic segmentation forecasting opens up a middle-ground between existing extremes, which either forecast instance trajectories or predict the appearance of future image frames. To address this task we develop a two-component model: one component learns the dynamics of the background stuff by anticipating odometry, the other one anticipates the dynamics of detected things. We establish a leaderboard for this novel task, and validate a state-of-the-art model that outperforms available baselines.
Digital Native Service Production

In recent years, AI that replaces human perception such as character and voice recognition has been developed rapidly, and its application interface (API) has been continuously strengthened. By combining these APIs with APIs provided by various industries and different business types, it is possible to create many SoE (System of Engagement)-oriented services that co-create customer values and enhance the customer engagement. This paper clarifies the characteristics of digital native services that are based on these environments and discusses the concept and method of service production.
BioGen: Generating Biography Summary under Table Guidance on Wikipedia

Capturing the salient information from an input article has been a long-standing challenge for summarization.On Wikipedia, most of the wiki pages about people contain a factual table that lists the basic properties of the people.Illuminatingly, a factual table can be regarded as a natural summary of the key information in the corresponding article.Thus, in this paper we propose the task of tableguided abstractive biography summarization, which utilizes factual tables to capture important information and then generate a summary of a biography.We first introduce the TaGS (Table-Guided Summarization) dataset 1 , the first large-scale biography summarization dataset with tables.Next, we report some statistics about this dataset to validate the quality of the dataset.We also benchmark several commonly used summarization methods on TaGS and hope this will inspire more exciting methods.
Transformation of Evidence Collection and Transmission Mode in Online Trial

Online trial; Evidence collection; Evidence transmission
Matthew Lee Knowles, <i>For Alan Turing</i>. Ledger. Online performance, 17 February 2021.

Long-duration performances have been an interest of mine, since finding Morton Feldman's score for String Quartet No 2 . Like, I believe, many readers of TEMPO, I enjoy the feeling of immersion in pieces such as Catherine Lamb's Prisma Interius IX , discussed in issue 289 of this publication, or James Week's Windfell, reviewed in issue 291. These works, as pleasurable as they are to listen to, also ask for particular endurance and concentration on the part of the performer.
Ethereum based electronic voting system

Voting is the fundamental characteristics of every democratic country. E-Voting or electronic voting is a means for the election process to be conducted without the use of traditional paper ballots. An election, which takes place in the form of voting, is a process that involves members in mutual competition. Voting is the activity of choosing someone or something in an election. Blockchain technology is providing various opportunities for developing the new and existing digital services by providing the blockchain characteristics such as immutability, integrity, transparency, anonymity, etc. Blockchain is distributed ledger technology which provides decentralization. Electronic voting system using blockchain services provides the security, transparency. The working of blockchain will ensure the votes are maintained and the systems are not rigged by any third party. Every vote that is casted will be considered as an individual transaction. These votes will be counted and the voting results and winner of the election will be announced.
Crispin Thurlow, Christa Dürscheid, &amp; Federica Diémoz (eds.), Visualizing digital discourse: Interactional, institutional and ideological perspectives. Berlin: Mouton de Gruyter, 2020. Pp. 270. Hb. €100.

Crispin Thurlow, Christa Dürscheid, &amp; Federica Diémoz (eds.), Visualizing digital discourse: Interactional, institutional and ideological perspectives. Berlin: Mouton de Gruyter, 2020. Pp. 270. Hb. €100. - Volume 50 Issue 3
МАСОФАВИЙ ТАЪЛИМ ОММАЛАШГАН ДАВРДА ТАЛАБАЛАРНИНГ МУСТАҚИЛ ИШЛАРИ САМАРАДОРЛИГИНИ ОШИРИШ

In the process of training modern specialists, self-study learning occupies an important place. Only the effective use of the opportunities presented in the educational environment contributes to the full implementation of the tasks of self-study learning in professional training. The efficiency of self-study learning depends on how the given process is organized. In the age of popularization of distant education, the organization of self-study learning has its own specifics. The article offers directions for proper organization and improvement of the self-study learning effectiveness.
Visualization of Microblog Keyword Data Based on 3D Interactive Word Cloud

The rapid development of the Internet makes it easier for users to share information. On various network platforms (such as Microblog), a large amount of text data containing useful information flows every day. The visualization of these data is of great significance to cognition and use of this information. Although the current scholars have extensively studied the processing of text data and the visualization of its results, there is still confusion, monotony, etc. on the visualization of this special and widely used multi-domain text data of microblog text. We improve the traditional text data display method - word cloud and combines a 3D model to propose a new type of word cloud. Additional, we improve traditional topic model LDA and propose E-LDA to get better topics from short text data. Experiments show that we get better results in topic extraction. And in terms of the traditional word cloud, there are obvious improvements in results presentation, topic relationship presentation, and interaction friendliness.
Oppositional Butterfly Optimization Algorithm with Multilayer Perceptron for Medical Data Classification

Medical data classification can be assumed to be a crucial process in the domain of medical informatics. Generally, medical data comprises a set of medical records and literature which are considered as the essential healthcare data sources. But the existence of medical data includes complicated medical vocabulary and medical metrics makes the classification process challenging. Though several models are available in the literature, there is still needed to improve the classification performance. In this view, this paper devises a novel oppositional based learning with butterfly optimization algorithm (OBLBOA)and multilayer perceptron (MLP) called OBLBOA-MLP for medical data classification. The presented OBLBOA-MLP model involves three stages of operation such as preprocessing, classification, and parameter tuning. Primarily, data preprocessing is carried out to remove the unwanted data and raise the data quality to a certain extension. Besides, MLP model is applied as a classifier to determine the existence of the diseases. In addition, OBLBOA is employed for the hyperparameter optimization of the MLP model. The application of OBL helps to increase the performance of the BOA. A detailed set of simulation analysis was performed to determine the appropriate detection results of the OBLBOA-MLP model. The obtained experimental values pointed out the improved classification performance by attaining a higher accuracy of 98.23% and 92.67% on the applied CKD and skin disease dataset respectively.
SISTEM PAKAR DIAGNOSIS GANGGUAN KEHAMILAN MENGGUNAKAN METODE FORWARD CHAINING (STUDI KASUS : RUMAH SAKIT KAMBANG):

Pregnancy is something that is very important for a mother. Information about pregnancy disorders that occur during pregnancy is needed, especially for pregnant women. Pregnant women tend to feel symptoms that are different from the normal pregnancy experienced by pregnant women. The risk of maternal mortality is caused by several factors, namely being late to recognize danger, delaying decision making to be referred, being late to health facilities and being late to get adequate services by health workers. The purpose of this study is to design an expert system for pregnancy disorders by applying the Forward Method Chaining. The system to be designed is a system that transfers the knowledge of a doctor to an expert system (Artificial Intelligence), which will help patients know the disease they are suffering from. This system is designed based on Website using PHP Framework Code Igniter script and using MySQL database. With the established Pregnancy Disorders Expert System, it makes it easier for pregnant women to diagnose pregnancy disorders so that they can provide the right treatment or treatment.
On Constacyclic Codes over F_p+v_1 F_p+v_2 F_p+v_3 F_p+v_4 F_p+v_1 v_2 F_p

We study the structure of ω-constacyclic codes over the ring R = F p +v 1 F p +v 2 F p +v 3 F p +v 4 F p +v 1 v 2 F . A Gray map is introduced and it is shown that the image of ω-constacyclic codes of length n  are (1,2,2,2,2,4) multi-twisted codes of length 6 n . The generators of such constacyclic codes for an arbitrary length are determined and their dual codes are also discussed. Finally some examples are given.
The Use of Mentimeter Applications in Online Learning during the Covid-19 Pandemic at the MGMP PPKn Garut Regency

The Covid-19 pandemic has a global impact on various sectors, including the education, health, economy, social, cultural and political sectors. The world of education also feels the impact. Changing teaching patterns from conventional learning to online learning is a demand for every educator around the world. Of course every educator needs to master the technology of learning methods and designs to support online learning and educators must ensure that teaching and learning activities continue, even though students are at home. The solution, educators are required to design learning media as an innovation by utilizing online media. This service activity aims to provide knowledge and at the same time practice the use of the meter application in online learning during the Covid-19 pandemic at the MGMP PPKn Garut Regency. This activity was attended by several participants from the national scope of lecturers, students, teachers at all levels of education. This workshop is open to the public, which is the locus of service, namely MGMP PPKn Garut Regency. The one-day workshop was held with the material of introducing the use of the stop meter application to support learning during the Covid-19 pandemic. The results of this service are: 1) Participants are given theoretical and practical material about the meter application, 2) Participants are involved in workshop activities and are also given training on how to use the meter application and are guided by the speaker through zoom meeting interactions, 3) At the end of each participant's session depositing assignments given by the speakers at the workshop activities via email and video display of interaction zoom meetings, 4) The results of the google form that are distributed to the majority of participants understand and can practice using the meter application for online learning
POTRET PEMOTONGAN DAN PEMUNGUTAN PAJAK OLEH BENDAHARA DANA BANTUAN OPERASIONAL SEKOLAH (BOS)

This study aims to examine the implementation of tax deductions and collection by the Treasurer of Bantuan Operasional Sekolah (BOS). The research data analysis used a descriptive qualitative approach. The research objects were SD Negeri Banyuajuh 3 Kamal Bangkalan Madura and SMK Kesehatan Yannas Husada Bangkalan. Data collection techniques used unstructured interviews, observation and documentation. The results showed that the implementation of witholding tax and levy carried out by the treasurer at SD Negeri Banyuajuh 3 Kamal Bangkalan Madura and SMK Kesehatan Yannas Husada Bangkalan was still not optimal and some were not in accordance with the applicable taxation regulations. The results show that there are five (5) things that can make the treasurer make the mismatch, namely: first, the high incomprehension of the treasurer about tariffs, the basis for imposition and obligations related to taxation. Second, the lack of training attended by BOS fund treasurers. Third, the rapid change in taxation rules. Fourth, lack of socialization from related parties (such as the Tax Service Office, Education and Culture Office). Fifth, the high level of activity apart from taking care of BOS funds from the BOS fund treasurer. This mismatch automatically causes the tax, which is generally the state revenue that is relied on the most to become less than optimal. This is because there are still funds that should go to the state treasury. Keywords: Treasurer; BOS Funds; Deductions; Collections; Taxes
Optimizing System Management Based on Trust of Domain

This paper first introduces the conventional way of APG40/43 account management, points out the shortcomings of the conventional way, puts forward the centralized account management, and gives the configuration details.
Edge Guided Loss in Image Inpainting

Image inpainting, also known as image completion, is the process of filling in the missing region of an incomplete image to make the image is visually plausible. Recently, the learning-based inpainting approach has revolutionized image inpainting. A variety of deep learning models have been applied to image inpainting and have achieved amazing results. This study concentrated on the loss function rather than the structure of the model in learning-based approaches. In this paper, a novel loss function containing the combination of edge guided loss term and weighted perceptual loss term was proposed. The proposed method was tested on the test set of ICME 2019 image inpainting challenge, which PSNR score is 1.3354 dB higher than the method without edge guided loss term, SSIM is 0.0014 higher, the qualitative result produced by the proposed method in objects removal task also is visually plausible and pleasing which won the objects removal track in ICME 2019 challenge.
Quantum Walk Coupled to Environment

In this paper, we considered quantum walk coupled to environment by introducing the concept of diamond product.We examined its basic properties and its unitary representation was obtained.
Towards a temporal commons:Shared time in a more-than-human world

As our planet makes a turbulent collective transition from the Holocene to the Anthropocene, it becomes increasingly clear that there is a mismatch between the social and economic cycles associated with humanity and those of environmental, evolutionary, and geological change. However, the standardised measures of time, such as Coordinated Universal Time, which we use to coordinate everything from daily life to transport, energy production, and global trade, build anthropocentrism into our world view at many levels. How then might we introduce into daily life ways of thinking time from a more-than-human perspective that can decentre the human? This paper considers this question through a work of speculative design developed by the author, conceived as a convergence of fieldwork, artwork, and timepiece. Through this work, the paper considers the experience of time at various temporal scales to articulate a temporal commons among humans, non-humans, celestial mechanics, and technology.
LibGuides: . Information Commons Resource Guide: Tools for Research

An all inclusive guide to how to utilize Sarasota-Manatee campus Library Services resources. Get a thorough understanding of each of the USF Libraries Research tools.
Research Guides: OER by Subject: Transitional Studies: OER starting points

OER Subject guide for Transitional Studies classes at Clark College. This guide has been adapted from the original content, Transitional Studies (ABE, AESL, EAP, Dev ED) TCC OER Guide, created by Jennifer Snoek-Brown, Tacoma Community College Library, and
Academics Evaluation for Students Results Using K- Means Clustering Algorithm

In this paper based on data collected from various schools student academic performance are measured by quarterly exam, half yearly exam, and final exams results. We collect the marks of three of exams results of different school like government school and private school from same district and we are comparing the final results of govt. school and private school from collected data. By using k-means clustering algorithm, we predicted the best school which   according to their academic performances and we have identified the result of the best school. This will to the identify best between private & government schools in town .The strategies and techniques of the best school will be followed which will help in making the education system better.
Implementation of Parallel Components of High Dynamic Range Images Algorithm Using FPGA

Abstract High Dynamic Range (HDR) images capturing, and reproduction have been an essential area to investigate by researchers, especially after the escalating acceleration in computers processing capabilities and the widespread of digital cameras. In this paper, parallel components of HDR algorithm are employed using field programmable gate array (FPGA) to produce HDR image. The implementation involves different pre-processing stages to separate images, color matrices, and then group the similar colors to perform a series of arithmetic operations. In consequence, the algorithm has inherited parallelism to exploit so that the FPGA provides parallel computational speed. The algorithm is implemented using Simulink and ModelSim-Altera MATLAB software to produce the response curve and HDR color components signals. After preforming the tone mapping, the results show that the HDR image provides much greater details and a truer color.