Reviewerly/exHarmony huggingface dataset:
Separating your app

While some packages start their lives fully born as standalone installable libraries, it’s more typical to begin in one form or another as functionality in an existing project. This may be spread throughout or in its own app within the project.
Лазерно-локационный метод определения метеорологической дальности видимости: аннотация к дипломной работе / Евгений Александрович Илькевич, БГУ, Факультет радиофизики и компьютерных технологий, Кафедра квантовой радиофизики и оптоэлектроники; науч. рук. – профессор Кугейко М.М.

As a result of this work, a program was created that simulates the behavior of drones in a swarm of unmanned aerial vehicles and visualized their movement huddled in a flock. Drones in a company stay within the pack and do not touch each other.
Effects of Postpartum Care Program on the Knowledge and Confidence regarding Postpartum Women and Newborn Care on Visiting Nurses

This paper identified the effects of a postpartum program on the knowledge and confidence regarding postpartum women and newborns in visiting nurses. The study used a non-equivalent control group and pretest-posttest design. A postpartum program was treated by an experimental group (n=29), while no treatment was given to a control group (n=30). The study was conducted from May 1 to June 30, 2018 and the study subjects were visiting nurses who worked at the community health center in B city. Data were analyzed by chi-square test and t-test using the SPSS program. Postnatal care knowledge (t=3.244, p=.002), confidence (t=3.161, p=.003) and neonatal care knowledge (t=2.314, p=.024), and confidence (t=2.642, p=.011) were found to increase significantly in the treatment group. Based on the above, visiting nurses should care for postpartum women and newborns after receiving education on postpartum care.
Defining the scope of a Django standalone app

Every software project is defined by boundaries, whether you have deliberately chosen it or not. In this chapter, we’ll begin our adventure with Django standalone apps by exploring the benefits of developing – and sharing – your standalone app, as well as how to consider what other dependencies to bring along and even whether your Django app should be a Django app at all.
Specific Features of Organizing Academic Mobility Among Kazakhstan Republic and Russian Federation Students During the Globalization Period

The purpose of this article is to identify factors that can positively affect the level of organization of academic mobility of students in Kazakhstan and Russia in the context of globalization, which takes into account the factors of globalization in relation to the process of academic mobility, including the quality of education, attitudes to participants and conditions for students to study in another state. All these parameters are analyzed from the point of view of psychological stability and educational element, which are compared at three levels: at the level of national educational institutions, at the level of international educational institutions and at the level of private educational institutions.
Development of an iOS, Augmented Reality for disaster management

Disaster management is a field, where any kind of information is essential for planning and rescue operations. The availability of real-time data on a portable device, such as a smartphone, can be very useful for emergency workers, during rescue operations and citizens as well. Augmented mobile reality is a system where the users can see overlayed data and visuals in the real environment through their smartphones or tablet screens. In this study, we have developed and tested a mobile application on the iOS platform, with disaster specific software functionalities. The mobile application has been designed to serve disaster management teams during the rescue operations for better coordination and information exchange. The system uses a combination of Geolocation services and Augmented Reality to present in real-world information, such as Points of Interests, citizen’s health status or previous building’s states so that will ease the work of the rescue teams and help citizens find shelter. One of the primary aspects of this study is to find a suitable method to measure the accuracy of the iPhone 8 Plus render augmented information in reality. For that, we conducted 144 tests for different distances and azimuths to verify the accuracy of the augmented information on the real world. The results of this study show that the iPhone 8 Plus can render objects with very high accuracy and can provide accurate information to the user. Finally, the app has been presented for two scenarios, during a disaster response phase, to have an overall picture, whether the application could prove satisfying results or not, and how useful it could be for future use. (Less)
Geochemistry of Garga-Sarali intrusive granitoids (central domain of the central African fold belt in Cameroon): petrological implication

The Garga-Sarali granitoids outcrop in form of large slabs and undistorted large blocks, into a schisto-gneissic basement. These rocks contain mainly muscovite and microcline, followed by K-feldspar, quartz, biotite, pyroxene, zircon and oxides, with coarse-grained to fine-grained textures. Geochemical analysis show that it belongs to differentiated rocks group (granodiorite-granite) with high SiO2 (up to 72 wt%) contents. Their genesis was made from a process of partial melting and fractional crystallization. These rocks are classified as belonging to I- and S-Type, meta-peraluminous, shoshonitic granites; belonging to the domain of volcanic arcs. The rare earth elements patterns suggest a source enriched of incompatible elements. The Nb-Ta and Ti negative anomalies from the multi-element patterns are characteristics of the subduction domains.
On the Optimum Number of Fourier Descriptors for Closed Boundary Retrieval

In the post segmentation scenario, when objects in the scene have been extracted, the focus shifts to object identification.This can be achieved through shape or texture.Finding the object boundary has been a reliable means of shape description.Among the mathematical approximation techniques for shape analysis, Fourier descriptors have proven to approximate closed boundaries of objects quite well, albeit with some limitations.A statistical thresholding technique to restrict the number of descriptors for a reasonably good approximation of the target shape is explored and tested on some medical images.Encouraging results were obtained particularly when segmentation in the pre processing stage was effectively carried out.
PERANCANGAN PROGRAM REPOSITORY UNOFFICIAL THEME

In a daily life human cannot be separated from electronic interactions, one of the example is handphone / smartphone. On a smartphone there are so many types of applications and chatting application is the most used application by smartphone users. Now using picture media is more desirable compared to other media for used in a chatting. Because of that chatting application that have a theme and sticker feature usually more desirable. line application is one of them. There are several line users that can create his own theme (creator) and then they spread the theme (unofficial theme) by timeline or official account from line@ application. But there are some problems experienced by theme users or creator, like banned account caused by line@ without obvios cause, hard for searching official account or theme that desired. Because of that writer made a system or place that can solve the problems.
PENINGKATAN KETERAMPILAN MEMBACA AKSARA JAWA MELALUI MEDIA AUDIOVISUAL PADA SISWA KELAS V SD NEGERI 2 PADOKAN BANTUL

This research aims to describe the improvement of Javanese literacy skills through audiovisual media in 2 Padokan Bantul State Elementary School. The application of audiovisual media can improve the reading skills of Javanese script in the fifth-grade students of 2 Padokan Bantul State Elementary School. This research is a Classroom Action Research (CAR). The subject of this research was all the fifth-grade students of 2 Padokan Bantul State Elementary School Academic Year 2018/2019 which amounted to 31 students. Data collection techniques used observation, testing, and documentation techniques. The results of this research indicate that after using audiovisual media, students' reading literacy skills can increase. The increase can be seen from the percentage of the students whose grades reached KKM (75). Before the action was taken, the percentage of the students who reached KKM was still lacking, 32.26%. After the first cycle of action, the percentage of the students who reached KKM increased to 50.84%. At the end of the second cycle, the percentage of the students who reached KKM increased to 80.64%. These results are following the criteria for the success of the prescribed actions, namely ≥75% of the students get scores above the KKM (75).
Learning Implicit Text Generation via Feature Matching

Generative feature matching network (GFMN) is an approach for training implicit generative models for images by performing moment matching on features from pre-trained neural networks.In this paper, we present new GFMN formulations that are effective for sequential data.Our experimental results show the effectiveness of the proposed method, Se-qGFMN, for three distinct generation tasks in English: unconditional text generation, classconditional text generation, and unsupervised text style transfer.SeqGFMN is stable to train and outperforms various adversarial approaches for text generation and text style transfer.
LibGuides: Kirksville Campus Curbside Pickup: Home

Information about how and where to pick up and return requested books from the Missouri Campus Library
Evaluating the capability of the Sentinel 2 data for soil organic carbon prediction in croplands

Abstract The short revisit time of the Sentinel-2 (S2) constellation entails a large availability of remote sensing data, but S2 data have been rarely used to predict soil organic carbon (SOC) content. Thus, this study aims at comparing the capability of multispectral S2 and airborne hyperspectral remote sensing data for SOC prediction, and at the same time, we investigated the importance of spectral and spatial resolution through the signal-to-noise ratio (SNR), the variable importance in the prediction (VIP) models and the spatial variability of the SOC maps at field and regional scales. We tested the capability of the S2 data to predict SOC in croplands with quite different soil types and parent materials in Germany, Luxembourg and Belgium, using multivariate statistics and local ground calibration with soil samples. We split the calibration dataset into sub-regions according to soil maps and built a multivariate regression model within each sub-region. The prediction accuracy obtained by S2 data is generally slightly lower than that retrieved by airborne hyperspectral data. The ratio of performance to deviation (RPD) is higher than 2 in Luxembourg (2.6) and German (2.2) site, while it is 1.1 in the Belgian area. After the spectral resampling of the airborne data according to S2 band, the prediction accuracy did not change for four out of five of the sub-regions. The variable importance values obtained by S2 data showed the same trend as the airborne VIP values, while the importance of SWIR bands decreased using airborne data resampled according the S2 bands. These differences of VIP values can be explained by the loss of spectral resolution as compared to APEX data and the strong difference in terms of SNR between the SWIR region and other spectral regions. The investigation on the spatial variability of the SOC maps derived by S2 data has shown that the spatial resolution of S2 is adequate to describe SOC variability both within field and at regional scale.
Translation Errors of Noodles Product Cooking Instructions from Indonesian into English

This paper discussed the translation errors in various top brands of instant noodles in Indonesia, ranging from the products produced by the local industries to the one imported from overseas. In this research, the researchers used a descriptive qualitative research method. The sources of data mean for the objects of the research were ten cooking instructions or procedures of various brands of instant noodles in Indonesia, translated from Indonesian into English. The data were collected through documentation techniques. The types of data were words, phrases, and sentences. The data were classified and tabulated based on the error types, following the standard of ATA’s Framework for Standard Error Making Classification. The result of the analysis showed that there were 40 translation errors found in 10 of 23 error categories with Omission as the most frequent error produced. The three most prominent error categories found in the instant noodles’ cooking instructions are Omission, Mistranslation, Syntax, and Cohesion. Omission turns to be the highest category of translation errors, which appeared 13 times out of 40 errors or 32.5 % of errors found in the analysis, followed by Mistranslation with 15% and Syntax and Cohesion that shares the same percentage of findings by reaching 12.5%. The researchers also found out that out of 10 instant noodles brands, instant noodle brand D has the most translation errors with 9 error findings out of 40 errors in total, followed by brand J with 8 findings of errors.
SFJ: An Implementation of Semantic Featherweight Java

There are two approaches to defining subtyping relations: the syntactic and the semantic approach. In semantic subtyping, one defines a model of the language and an interpretation of types as subsets of this model. Subtyping is defined as inclusion of subsets denoting types. An orthogonal subtyping question, typical of object-oriented languages, is the nominal versus the structural subtyping. Dardha et al. [11, 12] defined boolean types and semantic subtyping for Featherweight Java (FJ) and integrated both nominal and structural subtyping, thus exploiting the benefits of both approaches. However, these benefits were illustrated only at a theoretical level, but not exploited practically. We present SFJ—Semantic Featherweight Java, an implementation of FJ which features boolean types, semantic subtyping and integrates nominal as well as structural subtyping. The benefits of SFJ, illustrated in the paper and the accompanying video (with audio/subtitles) [27], show how static type-checking of boolean types and semantic subtyping gives higher guarantees of program correctness, more flexibility and compactness of program writing.
Mixed dependency support

In the previous chapter, you learned how to manage version compatibility between your app and different versions of Python and Django. In this chapter, we’ll look beyond Django and toward offering feature compatibility with both Django and other non-Django-related libraries.
Refusal Expression in L2 and its Comparison with Native Speaker: A Study Case in the Japanese Language

This study aims to fill the gap of the comparison study between Japanese learners and native Japanese speakers, focused on the semantic formula of refusal act. Sixteen Japanese native speakers and twenty-two Indonesian learners are the subjects of this study. We use a questionnaire or Discourse Completion Test (DCT) to collect the data, and we use the semantic formula by Ito and Ikeda to analyze the refusal utterances. This paper reveals that Indonesian Japanese learners tended to not aware of different social status levels and use different semantic formulas in Japanese. The lack of knowledge of the pragmatic competence within the use of speech act is the main problem in Japanese education.
Changes Are on the Horizon from PCI SSC: Phasing Out PA-DSS v3.2 in 2022

PA-DSS v3.2 Made Its Way into the PCI Framework in 2016 Just a little over three years ago, the Payment Card Industry Security Standards Council (PCI ...
LibGuides: Introduction to Comics for Adults: Where Should I Start?: Fan-Created Content

The world of comic books can be intimidating. This guide outlines various notable works, databases, and other resources to help you feel more confident the next time you enter a comic book shop or graphic novel section of your local public library.
THE EFFECTIVENESS OF “THIEVES” TEACHING STRATEGY IN TEACHING READING COMPREHENSION AT THE SECOND GRADE OF MA NIPI RAKHA IN THE ACADEMIC YEAR OF 2018/2019

The objective of this research is to find out whether or not THIEVES teaching strategy effective and improve students’ reading comprehension. This research was carried out from March 12th to April 15th 2019. In this research, the researcher used quantitative method based on experimental research. The design of this research is quasi experimental with pre-test and post-test. The population of this research was the students at second grade MA NIPI RAKHA which consist of 199 students with divided into six classes. The sample of this research was XI MAK as the control class which consist of 25 students and XI KEAG A as the experimental class which consist of 36 students. The results showed that from calculating t-test, t value = 2.43 was higher than t table for α: 0.05 = 2.00 (2.43>2.00). The alternative hypothesis (Ha) is accepted and null hypothesis (H0) is rejected. It can be concluded that there is significant difference in the students’ score in explanation text with the second grade of MA NIPI RAKHA in the academic year of 2018/2019 who have been taught by using THIEVES strategy and those who have been taught without using THIEVES strategy.
PREDICTION MODEL FOR THE NUMBER OF ARI CASES IN CHILDREN IN SURABAYA USING ARIMA METHOD

Forecasting is an important element in planning decision-making related to estimating future events. Forecasting techniques that are often developed and used today are the Time Series. Time series is a measurement of events through the stages of time in hours, days, months, and years format. This research uses the ARIMA time series method. The ARIMA method is used to model acute respiratory infections (ARI) in children. The best model is determined using the smallest error through the Mean Absolute Percentage Error (MAPE). The study aims to predict the number of ARI cases in children in Surabaya. This research is an unobtrusive/nonreactive research. The researcher conditioned the subjects to not being aware that the subject is being studied and therefore, left the subject uninterrupted. The data used was the number of ARI cases in children from January 2014 to December 2018. The data was obtained from the monthly report of the Health Information System Unit (HIS) of the Surabaya Health Office. The conclusion from this study showed that the ARIMA method obtained the best model results, namely ARIMA (2,1,2) with a MAPE value of 15.024. Forecasting results fluctuated and a downward trend in the case of ARI children in Surabaya. In certain months, the number of acute respiratory infections has increased significantly, including in February and March.
Managing version compatibility

When you write a Django app to include in your own project, you have known versions of Python, Django, and every other dependency used. When you create a standalone app, you have neither knowledge nor control over these versions since this will be deployed in other people’s projects. As a result what "works for me" may turn out not to work in even subtlety different environments for other developers. You may not be able to know exactly which versions every user and prospective user have deployed, but you can anticipate major combinations of Python, Django, and even dependency versions and ensure that your app works in each. This has the added bonus of making upgrades easier for you wherever you use your own standalone app.
LibGuides: Business Resource Guide: Home

A guide from Funderburg Library on how to use library resources to do research for your accounting, business, economics and finance classes.
LibGuides: ENG 230 - Professor DeMaagd: Getting started

This guide will help students gather sources need to complete the historical essay assignment for Dr. DeMaagd's ENG 230 course.
HIGH PERFORMANCE RNS FOR QR DECOMPOSITION MATRIX INVERSION ARCHITECTURE

Field Programmable Gate Arrays (FPGA) is emerged in many Digital Signal Processing (DSP) applications with the inclusion of dedicated core processing elements as logical blocks. But the technology remains limited in its ability to support high speed demands which gives rise to unified arithmetic models for performing some core functional units. This paper presents high performance RNS (Residue Number System) arithmetic for Q-R decomposition (QRD) to perform matrix inverse core which limits the overall system performance of FPGA implementation of OMP algorithm for compressive sensing signal reconstruction. In this article is also introduced a new memory efficient on-chip Ram-based) reverse conversion unit capable of performing high speed RNS computation. This hardware-optimized RNS architecture can take wide range of input operand sizes with different sets of moduli sets. The design is implemented in an ALTERA FPGA Cyclone-II device. Experimental results proved that this memory efficient reverse conversion RNS architecture outperforms all other stateoftheart FPGA implementations.
PENERAPAN SIMPLE ADDITIVE WEIGTHING PEMILIHAN KAYU UNTUK PEMBUATAN GITAR

Wood is the main material for making guitars, if the wood selected is not suitable, then the guitars produced may not be perfect wood selection is not yet optimal if it only relies on one criterion, there must be a systematic and accurate calculation when selecting wood in order that the guitar produced can be perfect, when the guitar was sold, there would be no more complaints about it, such as inferior sound, fragile body, etc. One of the means to assist calculation is the Simple Additive Weighting (SAW) method,which can calculation the value of wood, criteria of wood, and value of each sub-criteria of wood, so that the wood chosen after the calculation would be suitable for marketing. After going through the stages of wood data testing from’fajar musik’, and the calculation also used predetermined criteria, namely sound quality, wood age, wood physique, and wood texture/pattern. &#x0D; Keywords - guitar, wood, selection decision support, simple additive weighting
Handling app settings

Every Django project is configurable by its settings module, its settings.py file. This is how you specify what database you're using and how to connect to it, how to configure your template system, and of course what apps to install. A typical settings file contains a mix of general Django settings (like databases and the secret key), project app settings, and of course settings for standalone apps.
High school project “I am Ecomanifest” in the system of digital communications

An exhibition of posters and a presentation of the interactive project “I am Ecomanifest”, dedicated to environmental issues, took place at the Institute of Public Policy of Russian Presidential Academy of the National Economy and Public Administration on December 20, 2019. The training project has become an independent communication statement. A system of visual communications has been developed, using modern digital tools that help to solve the environmental problems.
Comparing Common Criteria's Vulnerability Analysis with SAFECode's Secure Coding Practices

Common Criteria is today used by multiple countries and authorities, to evaluate and certify secure IT products. This process is a lengthy one, that can take upwards of eighteen months. This thesis ...