Reviewerly/exHarmony huggingface dataset:
PENGENALAN DAN PELATIHAN PEMBUATAN JASA PENYEDIAAN BANDWIDTH DENGAN SISTEM RT/RW NET PADA MAJELIS TAKLIM HIJABERS SAKINAH JAYAPURA

Data quota has become a basic requirement for the people at this time. Data quota can be used as a business opportunity, by providing data quota through the RT/RW Net system that utilizes the availability of fast internet connections from existing providers. The target community of this service activity is members of the Majelis Taklim Hijaber Sakinah Jayapura. This activity aims to provide knowledge about the RT / RW Net system as a provider of internet quota through Wi-Fi networks and can be used as an additional opportunity for members of Jayapura's Hijaber Sakinah. The method used in this study is the lecture method and demonstration of the use of equipment used in the RT / RW Net system.Keywords: Data Quota, RT/RW Net System, Wi-Fi, Majelis Taklim Hijaber Sakinah
Development of Electronic Educational Resources for Physics with Elements of Augmented Reality Technology

&lt;p class="0abstract"&gt;The paper presents the work on the educational mobile application based on Unity game engine using Vuforia platform. The appropriate research on electronic educational resources and augmented reality technology was conducted. The authors also studied the world experience in the use of the technology in various fields of its application, in education as a whole and in physics in particular. As an outcome of the work, an electronic educational resource for secondary educational institutions was developed. It was implemented as an application for conducting virtually a set of the laboratory works in physics using augmented reality.&lt;/p&gt;
AFTER FALL MOTION DISCRIMINATION SYSTEM USING AUTOENCODER

With the increase in world?s older population, the cases of fall accidents among the elderly has increased, with 32% - 42% of the annual fall accidents from people aged 70 years and older. Because the impact of falls can cause some serious aftereffects on the elderly, early detection of the fall accident and appropriate treatment based on the condition after the fall are required. To perform appropriate treatment upon arrival at the incident scene, it is essential to assess the behavior and condition of the elderly after the fall (whether they are standing, conscious, or unconscious) in advance. Under these circumstances, many previous researches have proposed automatic fall detection systems for early detection. Our previous studies have proposed an unconstrained fall detection system utilizing a microwave Doppler sensor; however, these studies did not focus on behavior assessment after fall accident. Hence, this study proposes a system that could assess behavior after fall accident.This study used two types of sensor: a microwave Doppler sensor, which was attached to the ceiling, and a piezoelectric ceramic, which was installed on the floor. The output signal from the microwave Doppler sensor was extracted for 3 seconds after the time the impact on the floor was detected by the piezoelectric ceramic. The extracted data was downsampled to reduce the data size and was applied to the autoencoder to compress dimension. The compressed data was used as input to a neural network for multiclass discrimination. The output from the neural network was converted into probability by the softmax function. Finally, the class with the largest probability was determined as the motion after the fall.In the verification experiment, four subjects in their 20s were set up. Each subject was asked to stand up and not to stand up (unconscious and conscious) after each fall, with 30 times data for each set, which corresponded to 3 classes to be discriminated. The sampling frequency, sampling points, and measurement time were set to 4000 Hz, 60000 points, and 15 seconds, respectively. From the data collected, 2400 points were obtained with downsampling point of five. Then, the dimension of the hidden layer was set to 50. For the evaluation of the proposed system, leave-one-subject-out cross-validation was performed. The result shows a correct answer rate of one for all subjects.
To the question on power and society in the political ontology of Y. F. Samarin and Slavophiles

The object of this research is the problem of power and society in the political ontology. The indicated problem is viewed in the works of the founder of political philosophy in Russia Y. F. Samarin in the context of teaching of the representatives of &amp;ldquo;Moscow School&amp;rdquo;. An attempt is made to demonstrate the multidimensionality of the philosopher&amp;rsquo;s key ideas and avoid their simplifications and distortions. The evolution of Samarin&amp;rsquo;s philosophical-political views is described: the initial stage of this writings is focused on the eschatological pursuits, the take roots in the Russian spiritual culture and are associated with the ideas of transformed power, grateful type of being; the next period is concentrated on the ida of national policy, when the power must originate with people, strengthen the interethnic unity and serve to the historical calling of Russia, rather that the distracted political beginning. The analysis of Samarin&amp;rsquo;s views on power led to the following conclusions: the philosopher believed that it is essential to respect boundaries between the church and state life, but underlines the need of spiritual influence upon the power; each new form of power had to comply with the organic social development, be generated by it, rather than be created artificially or borrowed; the government should lean on the enlightened nation, rather than on cosmopolitan leadership. It is claimed that Samarin&amp;rsquo;s political position &amp;ndash; the &amp;ldquo;revolutionary conservatism&amp;rdquo;, which essence consists not in destruction, but construction of the state supported by spiritual culture of Russia and peculiarities of its national pattern, but at the same time in uncompromised antagonism to everything impeding well-being the superpower. It is concluded that the political ontology of Y. F. Samaring and classical Slavophiles became the foundation for philosophical-political constructs of the thinkers of Silver Age and white &amp;eacute;migr&amp;eacute;. Some of his ideas may become the foundation for political ideology of modern Russia.
Towards Automated Risk Analysis of "One-day" Vulnerabilities

Common Vulnerabilities and Exposures (CVE) databases such as Mitre’s CVE List and NIST’s NVD database identify every disclosed vulnerability affecting any public software. However, during the early hours of a vulnerability disclosure, the metadata associated with these vulnerabilities is eithermissing, wrong, or at best sparse. This creates a challenge for robust automated analysis of new vulnerabilities. We present a new technique based on TF-IDF to map newly disclosed vulnerabilities to the most probably affected software products, formulated as an ordered list of relevant entries in the Common Platform Enumeration (CPE) database. For doing so we rely only on the human readable description of the vulnerability without any need for metadata.
Robustness Verification of Quantum Machine Learning

Several important models of machine learning algorithms have been successfully generalized to the quantum world, with potential applications to data analytics in quantum physics that can be implemented on the near future quantum computers. However, noise and decoherence are two major obstacles to the practical implementation of quantum machine learning. In this work, we introduce a general framework for the robustness analysis of quantum machine learning algorithms against noise and decoherence. We argue that fidelity is the only pick of measuring the robustness. A robust bound is derived and an algorithm is developed to check whether or not a quantum machine learning algorithm is robust with respect to the training data. In particular, this algorithm can help to defense attacks and improve the accuracy as it can identify useful new training data during checking. The effectiveness of our robust bound and algorithm is confirmed by the case study of quantum phase recognition. Furthermore, this experiment demonstrates a trade-off between the accuracy of quantum machine learning algorithms and their robustness.
What flowers can bloom in a green open access landscape? Imagining a future with BitViews.

BitViews is a blockchain application that collects, validates, and aggregates worldwide online usage data of author’s approved manuscripts (AAMs) deposited in Open Access Institutional Repositories. It creates a free public ledger of usage events that allows anyone to see which research outputs have been accessed, where, and when, thus providing the raw material to construct discipline- and region-specific non-citation based measures of research impact. BitViews’ short-term implications include: 1. The re-alignment of journal impact measures (from citations to usage); 2. Changed patterns in the production of research articles (towards high- usage topics); 3. Creation of new networks of research collaboration; 4. Enhanced opportunity for open data sharing. BitViews’ long-term effects are transformative. Because BitViews promotes the “unbundling” of AAMs from published articles, it endows AAMs with independent value. Two disruptive consequences follow: the very concept of APCs is undermined and the conditions are created for the academy to regain ownership of peer review. Relegating commercial publishers to the role of providers of post-AAM services, huge resources will be released. As soon as AAMs are de‐ coupled from articles, the same process and infrastructure can be applied to research monographs, thereby completing the cycle of Open Access to the whole production of knowledge.
PENINGKATAN KEMAMPUAN LITERASI PEMUDA ELELIM DI DISTRIK ELELIM KABUPATEN YALIMO PAPUA

Literacy programs in the form of community service in Elelim Village can be a means to develop the knowledge and potential of local local communities so that they have broad understanding, literacy skills and adequate competence. The community can explore and empower all potentials of the region to the maximum to support the progress of the community and the region. Literacy programs in the local community in Elelim Village can also develop the values of local wisdom that are part of people's lives. The youth or youth community has a role in the development of the nation's future and the dynamics of youth in the journey of national life determine the future direction of the Indonesian nation. The aim of community service literacy program is to increase the literacy ability of Elelim youth in Elelim Village, Yalimo Regency, Papua. The method used is a lecture method that approaches the local cultural character or adapts according to the culture of the local community. And the accompanying educational method by providing examples or symbols to improve literacy skills with any objects, plants or animals in the local area. So that its to improve youth literacy skills in the Elelim Village. The results of community service can be concluded that the motivation and enthusiasm of the Elelim young generation's willingness in studying literacy can improve the literacy ability of Elelim youth in Elelim District, Yalimo Regency, Papua. Keywords: Literacy programs service, Youth Elelim Village, Regency Yalimo, Papua
Can news help measure economic sentiment? An application in COVID-19 times

We construct a new newspaper-based sentiment indicator for Spain that allows us to monitor Spanish economic activity in real-time. As opposed to the traditional survey-based confidence indicators that are released at the end of the month, our indicator can be constructed on a daily basis and updated in real-time. We compare our proposed index with the popular Economic Sentiment Indicator of the European Commission, and we show that ours performs significantly better in nowcasting the Spanish GDP. In addition, our indicator proves to be helpful in order to predict the current COVID-19 recession from an earlier date. All in all, our indicator performs similarly to or even outperforms other soft indicators, with the advantage of being updated daily. Thus, it provides a valuable option when measuring the confidence in the economy.
LibGuides: Free Resources: Wifi Locations

In this guide you will find resources that have been made free for use to colleges in response to COVID-19 or are always free.
WSRNet: Joint Spotting and Recognition of Handwritten Words

In this work, we present a unified model that can handle both Keyword Spotting and Word Recognition with the same network architecture. The proposed network is comprised of a non-recurrent CTC branch and a Seq2Seq branch that is further augmented with an Autoencoding module. The related joint loss leads to a boost in recognition performance, while the Seq2Seq branch is used to create efficient word representations. We show how to further process these representations with binarization and a retraining scheme to provide compact and highly efficient descriptors, suitable for keyword spotting. Numerical results validate the usefulness of the proposed architecture, as our method outperforms the previous state-of-the-art in keyword spotting, and provides results in the ballpark of the leading methods for word recognition.
Development of Worker’s Nonstandard Motion Detection System in Cell Production Line

In this paper, we propose a method to detect workers’ nonstandard motion in cell production lines. Our method consists of three features: (1) sensing motion of a person, (2) measuring the time of motion by using Dynamic Time Warping and (3) analysis of the motion time. We applied the method to a prototype cell production line in our factory and verified its effectiveness. In an interview with Industrial Engineer, we have confirmed that our system has the potential to reduce the time taken for discovering nonstandard motion from 10 hours to 2.5 hours. From the above, we conclude that our method can enhance the efficiency of cell production line improvement.
PROPER SAMPLE SIZES FOR ENGLISH LANGUAGE TESTING: A SIMPLE STATISTICAL ANALYSIS

Purpose of study: Small sample size is the most common limitation which restricts the generalization of research results, and this is true to many fields, including language testing. The current study is sought to show the predictive power of sample sizes over the population mean to decide what sample minimum size can be considered as a proper sample size for a language test.&#x0D; Methodology: The data for this quantitative research was 5,250 paper-based TOEFL test scores considered as the population, which includes listening, structure, and reading tests, and it is the most familiar standardized test among EFL researchers. Due to its objective nature, it leaves little chance for bias scores. The score ranged between 30.7% of 417 in the TOEFL scale and 95.7% or 653. Standard error was used as the parameter in deciding the proper sample size. It was the cut-off point when the parameter did not show any obvious change when the sample size was added. We used hierarchical agglomerative clustering with three clusters, determined using 30 indices through the majority rule, in finding out the cut-off point.&#x0D; Main Findings: It was found that the cut-off point is at the sample size of 52 with the range between 46 and 59. Therefore, it can be concluded that the minimum proper sample size for a research study involving a language test is n = 46.&#x0D; Application of this study: The results of this study apply to the area of English language teaching and testing. However, it does not rule out the possibility that the study result applies to tests in other languages.&#x0D; Novelty/Originality of this study: The result of this study should be treated as statistical evidence of the proper sample size to avoid inaccurate or conflicting research results in language teaching where a test is used for analysis.
A Named Entity Extraction System for Historical Financial Data

Access to long-run historical data in the field of social sciences, economics and political sciences has been identified as one necessary condition to understand the dynamics of the past and the way those dynamics structure our present and future. Financial yearbooks are historical records reporting on information about the companies of stock exchanges. This paper concentrates on the description of the key components that implement a financial information extraction system from financial yearbooks. The proposed system consists in three steps: OCR, linked named entities extraction, active learning. The core of the system is related to linked named entities extraction (LNE). LNE are coherent n-tuple of named entities describing high level semantic information. In this respect we developed, tested and compared a CRF and a hybrid RNN/CRF based system. Active learning allows to cope with the lack of annotated data for training the system. Promising performance results are reported on two yearbooks (the French Desfossé yearbook (1962) and the German Handbuch (1914–15)) and for two LNE extraction tasks: capital information of companies and constitution information of companies.
How to Train Your Robust Human Pose Estimator: Pay Attention to the Constraint Cue.

Both appearance cue and constraint cue are important in human pose estimation. However, the widely used response map supervision has the tendency to overfit the appearance cue and overlook the constraint cue. In this paper, we propose occlusion augmentation with customized training schedules to tackle this dilemma. Specifically, we implicitly force the neural network focus on the constraint cue by dropping appearance information within keypoint-aware strategy. Besides, a two-steps schedule is designed to deal with the information shortage in early training process, which effectively exploits the potential of the proposed occlusion augmentation. In experiments, as a model-agnostic approach, occlusion augmentation consistently promotes most SOTAs with different input sizes, frameworks, backbones, training and test sets. For HRNet within W32-256x192 and W48plus-384x288 configurations, occlusion augmentation obtains gains by 0.6 AP (75.6 to 76.2) and 0.7 AP (76.8 to 77.5) on COCO test-dev set, respectively. HRNet-W48plus-384x288 equipped with extra training data and occlusion augmentation achieves 78.7 AP. Furthermore, the proposed occlusion augmentation makes a remarkable improvement on more challenging CrowdPose dataset. The source code will be publicly available for further research in this https URL.
Improving National Crisis and Emergency Management through a Core System - A Lesson from the COVID-19 Disaster -

The purpose of this study is to find out the problems and improvement measures on the national crisis and emergency management system in South Korea through the core system. Based on the lesson from the COVID-19 disaster, this study analyzed the five major elements of a core system and four stages of crisis management model. The recommendations from this study are as follows; (① value) the value of human respect should be preserved during the pandemic, regarding funeral, high-cost vaccine and treatment, (② prevention) the Infectious Disease Control and Prevention Act should be revised in a way to expand the authority of local government for infectious disease management, (③ preparedness) the crisis management manual should be revised to raise the alert levels, (④ response) rapid propagation, transparent disclosure, excessive government response, active civic cooperation would be needed, (⑤ recovery) the actual amount of the damage to the medical institutions should be compensated, (⑥ leadership) the prime minister should serve as a head of the Central Disaster and Safety Countermeasures Headquarters, (⑦ devotion) country-wide dedication and commitment would be needed along with appropriate compensation system, and (⑧ expertise) rapid diagnosis, treatment and contact tracing using digital technology would be critical.
ICT-Enabled Teaching: The E-Bug Project

The main objective of the e-Bug project, launched in September 2009 in Europe, was to provide, across Europe, a new hygiene teaching resource for schools.The student website of the e-Bug project, hosting teacher resources and student activities, was launched in 2011 and was developed following successful school evaluation of the initial resource, providing interaction of the young people in Europe with high-priority public health issues (essential hygiene, prevention of infections and prudent use of antimicrobials), in a joyful and pleasant manner that increased microbiology literacy in the society.In order to achieve its aim, the eBug website (www.e-bug.eu) is continously enriched, by the cooperation of health and education professionals, to include disease fact sheets, more interactive games, quizzes, home experiments and downloadable resources, hence supporting the learning objectives, for both junior as well as senior school students.The student website is translated to all European languages, updated regularly and often visited by children and teenagers, as a resource for school projects and amusement activities.Furthermore, e-Bug is hosted as a link in webpages by various relevant public and private organizations and has been a reference for institutions, societies and health promotion campaigns initiatives.All the above offer a complete approach through the transformation of information to knowledge and the evolution of this knowledge to skills and behavioral trends, so that the harmful belief and practice of microbiophobia is dispeled and prevention of infections is achieved, in the future generations of planet Earth.
LibGuides: Doctor of Nursing Practice (DNP): A Guide to McFarlin Library Resources: What's new? RSS feeds from selected nursing sites and blogs

This guide is designed for the use of students taking courses for the DNP Program at The University of Tulsa. The purpose is to help you in getting started doing your library research using McFarlin's resources.
Verifikasi Tanda Tangan Menggunakan Ekstraksi Fitur LBP dan Klasifikasi LVQ

Signature is one of the media used for verification and legalization of information, such as documents that are closely related to legality. In general, signature verification is done manually by direct comparing, this is certainly not effective, especially if doing a lot verification. Therefore, we need a computer system that can automatically verify a person's signature to save time in matching and reducing errors. This research was conducted using feature of Local Binary Pattern (LBP) method and Learning Vector Quantization (LVQ) classifier. Materials that used in this research are 600 signature images with a size of 500x500 pixels taken from 30 respondents where each respondent taken 15 original signatures and 5 fake signatures. The results of this research are that the signature identification process resulted in 93% and the verification process resulted in an accuracy of 63%, a sensitivity of 89%, and a specificity of 42%.