Reviewerly/exHarmony huggingface dataset:
Algorithmic Error Mitigation Scheme for Current Quantum Processors

We present a hardware agnostic error mitigation algorithm for near term quantum processors inspired by the classical Lanczos method. This technique can reduce the impact of different sources of noise at the sole cost of an increase in the number of measurements to be performed on the target quantum circuit, without additional experimental overhead. We demonstrate through numerical simulations and experiments on IBM Quantum hardware that the proposed scheme significantly increases the accuracy of cost functions evaluations within the framework of variational quantum algorithms, thus leading to improved ground-state calculations for quantum chemistry and physics problems beyond state-of-the-art results.
UZZY-MULTIPLE ASSESSMENT OF UNIVERSITY ATTRACTION BASED ON APPLICANT'S PREFERENCES

A new fuzzy-multiple technique is presented and tested in the article, which makes it possible to assess the level of attractiveness of a university in the eyes of applicants based on a list of university performance indicators available on the website of the Ministry of Education and Science, and also to compare the attractiveness of universities selected by the applicant’s criteria. The methodology is supposed to be implemented in software (software) focused on applicants to universities.
Implementing SLA constraints in Multi-Cloud environments

The Cloud is today one of the most popular technologies in the field of Information Technology. When dealing with constraints related to a too low number of resources that are offered by a single Cloud Service Provider the Cloud Service Customers might interact with other Cloud Service Providers that offer the required number of resources. Other possibility is when the Cloud Service Provider (CSP) rents resources from other Cloud Service Providers. There also might be a composition of the two strategies. When dealing with Multi-Cloud Federation in the case of Cloud Service Providers it is critical to not violate the Service Level Agreement (SLA) contract that is in place between the Cloud Service Provider that uses various Cloud Service Infrastructures and the Cloud Service Customers (CSCs). In this article we discuss those SLA parameters and the security and trust ideas behind the Multi-Cloud Federation.
Integrasi Data Walktest Sistem Saas Cloud Computing PT. Bentala Sakti Globalindo

Abstract — Cloud Computing is a combination of the use of computer technology (computing) and internet-based (cloud) development. Cloud is a metaphor of the internet, as clouds are often depicted in computer network diagrams. As with the cloud in the computer network diagram, cloud (cloud) in Cloud Computing is also an abstraction of the complex infrastructure that is hidden. It is a computational method in which capabilities related to information technology are presented as a service (as a service), so that users can access it via the internet (in the cloud) without knowing what is in it, experts with it, or have control over the technology infrastructure that helps it.
메타인지 전략을 활용한 한국어 통번역 교육 연구 -중국인 학습자 대상의 번역 교육을 중심으로-

This study aims to improve the translation capability of Korean majors in Chinese universities, and to explore more effective strategies to guide teaching. At present, although the Korean language education in Chinese universities attaches great importance to the training of the learners’ translation capability, teaching methods are still limited and outdated. Moreover, Korean majors in Chinese universities are learning Korean in the form of KFL (Korean as a foreign language), so the language environment that can be provided to learners in their daily life is also limited. In order to overcome the existing problems in Korean translation education, it is necessary and urgent to find out more effective learning strategies of Korean-Chinese and Chinese-Korean translation and to use them to guide teaching. By means of questionnaires, the study analyzes the current teaching methods used in Korean translation education in Chinese universities. The results show that both teachers and students show positive attitudes towards the use of new teaching methods and strategies to guide the learning process in the translation education. Therefore, systematic and long-term learning strategy training is necessary in order to improve learners’ language proficiency and their independent learning capabilities. This study is centered on Korean majors in Chinese universities, and explores effective teaching-learning schemes using meta-cognitive strategies for the development of Korean translation teaching based on CALLA. Therefore, this study first reveals the theoretical background of meta-cognition theory and discusses the environment of Korean translation education in Chinese universities. Furthermore, it explores the teaching principles and the teaching-learning direction and procedure of the meta-cognition strategy in Korean translation education based on CALLA. Finally, after the training of students’ meta-cognition learning strategy, the author concludes that this strategy has produced positive results for Korean translation teaching. (Sun Yat-sen University Busan University of foreign studies)
Active learning by increasing model likelihood for Gaussian mixture models based classifiers

Abstract A problem in many classification tasks is to acquire labelled data, while large amounts of unlabelled data are available. One way to overcome these problems is to apply active learning. This technique aims to select the most informative examples and to build optimally classifiers. In this paper, we propose an active learning algorithm for Gaussian mixture model classifiers by maximizing the current model likelihoods. The method assumes a large pool of unlabelled examples is available, the examples are i.i.d according to some underlying distribution, and the labels are distributed according to the class-conditional distribution. Experiments using artificial and real datasets show that, the proposed method outperform and show efficiency in the context of the query number compared with random and expected likelihood queries.
Engineering Data Reduction for Nested Dissection.

Many applications rely on time-intensive matrix operations, such as factorization, which can be sped up significantly for large sparse matrices by interpreting the matrix as a sparse graph and computing a node ordering that minimizes the so-called fill-in. In this paper, we engineer new data reduction rules for the minimum fill-in problem, which significantly reduce the size of the graph while producing an equivalent (or near-equivalent) instance. By applying both new and existing data reduction rules exhaustively before nested dissection, we obtain improved quality and at the same time large improvements in running time on a variety of instances. Our overall algorithm outperforms the state-of-the-art significantly: it not only yields better elimination orders, but it does so significantly faster than previously possible. For example, on road networks, where nested dissection algorithms are typically used as a preprocessing step for shortest path computations, our algorithms are on average six times faster than Metis while computing orderings with less fill-in.
Efficient mixing of arbitrary ballots with everlasting privacy: How to verifiably mix the PPATC scheme.

The long term privacy of voting systems is of increasing concern as quantum computers come closer to reality. Everlasting privacy schemes offer the best way to manage these risks at present. While homomorphic tallying schemes with everlasting privacy are well developed, most national elections, using electronic voting, use mixnets. Currently the best candidate encryption scheme for making these kinds of elections everlastingly private is PPATC, but it has not been shown to work with any mixnet of comparable efficiency to the current ElGamal mixnets. In this work we give a paper proof, and a machine checked proof, that the variant of Wikstrom’s mixnet commonly in use is safe for use with the PPATC encryption scheme.
PENGARUH SISTEM PENGENDALIAN INTERN TERHADAP KUALITAS LAPORAN KEUANGAN DANA BANTUAN OPERASIONAL SEKOLAH (BOS)(Studi Kasus Pada Seluruh Sekolah Menengah Pertama Penerima Dana BOS di Kota Serang)

This study aims to determine the influence of the internal control system on the quality of the financial statements in all junior high schools receiving BOS funds in Serang. The total sample used in this study are 61 schools. The original sample determined by researcher were 76 schools, however, as many as 13 schools did not return the questionnaire and 2 other schools in 2019 were declared bankrupt.This research used saturated sampling. The data in this reseach is collected by distributing questionnaires. Hypothesis testing is conducted by using SEM-PLS with the help of SmartPLS 3.0 software. The results obtained from this research shows that the internal control system affects the quality of the financial statements of BOS funds in junior high schools receiving BOS funds in Serang City.
Electricity Net Generation and the Cryptocurrency Market

In this paper, we investigate whether the Bitcoin return can predict the electricity net generation in the United States. By utilizing the data from February 2014 to July 2019, we find that higher Bitcoin return leads to a higher electricity net generation via the possible channel that increases the Bitcoin trading volume. Furthermore, we find that the US-China trade war could weaken the connection between the U.S. electricity net generation and Bitcoin volume while the China crypto-trade policy has no effect on the relationship.
Teacher’s ‘the standpoint of personal participation’ and Indirect Communication: Metapraxis Perspective

이 글의 목적은 메타프락시스적 관점에서 교과와 교사, 그리고 교사와 학생의 관련을 모색하여 유기적으로 설명하는 데에 그 목적이 있다. 여기서 ‘유기적’이라는 말은 마치 살아있는 생명체가 그러하듯이, 하나의 요소라도 배제되면, ‘교육이라고 하는 생명체’에 치명적인 타격이 불가피하다는 것을 가리킨다. 그럼에도 불구하고, 특별히 교사의 존재는 교과와 교사, 교사와 학생의 관련에 있어서 ‘핵심적인 지위’를 차지한다. 그도 그럴 것이, 교사는 교과를 내면화하여 ‘자득지’(自得知)에 있는 사람이며, 한편으로 자신이 내면화한 교과―총체로서의 세계―를 온몸을 활용하여 후세대에 전수해주는 역할을 하는 사람이기 때문이다. 이러한 교사의 자득의 측면은 특히 ‘당사자적 자세’에 의해 학생에게 전달(간접전달)될 수 있다. 그리하여 이들의 ‘유기적 관련’에 보다 근본적으로 ‘숨을 불어넣는 존재’는 교사라고 할 수 있으며, 교사의 실존 또는 그의 삶의 태도, 즉 ‘당사자적 자세’는 온 인류의 존재 근거를 확립하는 중차대한 일이라는 점을 밝혀 보았다.The purpose of this study is to explore the relationship between subjects, teachers, and students from the metapraxis perspective and to explain them organically. Here, the term ‘organic’ refers to the inevitable blow to life, which is called education, if one element is excluded, as if it were living life. Nevertheless, the existence of teachers in particular takes a key position in the relation between subjects and teachers, teachers and students. He also does so because the teacher is a person who internalizes the subject and is in the self-acceptance, and on the other hand, he plays a role of transferring the internalized subject - the world as a whole - to the later generations using the whole body and his spirit. This aspect of teacher s self-interest can be delivered (indirectly) to students, especially by ‘the standpoint of personal participation’. Thus, the existence that breathes more fundamentally into their organic relation can be said to be a teacher, and the existence of the teacher or his attitude of life, that is, the ‘the standpoint of personal participation’, is a serious thing to establish the basis of existence of the whole human race.
Feature Extraction with Apparent to Semantic Channels for Object Detection

This paper focuses on using traditional image processing algorithms with some apparent-to-semantic features to improve the detection accuracy. Based on the optimization of Faster R-CNN algorithm, a mainstream framework in current object detection scenario, the multi-channel features are achieved by combining traditional image semantic feature algorithms (like Integral Channel Feature (ICF), Histograms of Gradient (HOG), Local Binary Pattern (LBF), etc.) and advanced semantic feature algorithms (like segmentation, heatmap, etc.). In order to realize the joint training of the original image and the above feature extraction algorithms, a unique network for increasing the accuracy of object detection and minimizing system weight called Multi-Channel Feature Network (MCFN) is proposed. The function of MCFN is to provide a multi-channel interface, which is not limited to the RGB component of a single picture, nor to the number of input channels. The experimental result shows the relationship between the number of additional channels, performance of model and accuracy. Compared with the basic Faster R-CNN structure, this result is based on the case of two additional channels. And the universal Mean Average Precision (mAP) can be improved by 2%-3%. When the number of extra channels is increased, the accuracy will not increase linearly. In fact, system performance starts to fluctuate in a range after the number of additional channels reaches six.
SISTEM INFORMASI PENAGIHAN BERBASIS KOMPUTER PADA USAHA DAGANG DAN WARNET HAFIZILLAH DI DESA TANJUNG ATAP BARAT

This service program aims to compile an adequate recording of internet cafe usage transactions and a computer-based billing information system at the Hafizillah Trade and Warnet business, Tanjung Atap Barat Village, Ogan Ilir Regency which has experienced problems in compiling transaction records for the use of internet cafes called Fatan. The main activity of this internet cafe business is the use of customers' internet cafes, in addition to typed printing, photo printing, binding, making banners and brochures. Due to company characteristics, billing management has become a major requirement in the smooth operation of day-to-day internet cafes. Through this Billing Information System Application (Billing), the company began to record and present billing information from internet cafe customers in a computerized manner, so that information could be more accurate and up to date.
The role of academic subjects in formation of a sense of responsibility in primary school pupils

As presented in the content of documents of state importance, primary education is an important component of continuing education in the country, and its effective organization can be an important guarantee of success in the next stages of education. Indeed, there is an opportunity to further enrich and strengthen the skills of learning activities and spiritual and moral qualities acquired by students in primary schools, while studying in basic schools, academic lyceums, vocational colleges and higher education institutions. In this regard, it is advisable to focus on fostering a sense of responsibility from the time ofprimary education. The qualities formed in the student's behavior during this period are strengthened in the later stages of the system of continuing education.
The Effectiveness of Elicitation Technique in Teaching Writing on descriptive Text (An Experimental Research at the second grade of MA. Al-Mumtaz Pulosari-Pandeglang)

Moh. Eka Hilmi Abrori. 132301531. 2019. The Effectiveness of Elicitation Technique in Teaching Writing on descriptive Text (An Experimental Research at the second grade of MA. Al-Mumtaz Pulosari-Pandeglang.The Research is conducted based on the main problem 1) how is the students’ writng ability at MA. Al-Mumtaz Pulosari-Pandeglang? 2) How is the effectiveness of elicitation technique in teaching writing on descriptive text? To answer the question, the researcher used quantitative research by implementing quasi experimental design as the research method. The population of this study was the students of the second grade of MA. Al-Mumtaz Pulosari-Pandeglang. The sample was divided into two groups, namely control group and experimental group. There were 30 students in control group and 30 students in experimental group. The experimental group was taught by using Elicitation Technique and control group was taught without using Elicitation Technique. After conducting the treatments and evaluating both pre-test and post-test have given, the researcher found that there was significant influence of using Elicitation Technique to improve writing skill. After collecting and calculating the data, the value of the result of t-test shows that to:tt = 2.94 > 1.67 in degree of significance 5% and to:tt = 2.94 > 2.23 in degree of significance 1% so that Ha (alternative hypothesis) of the result is accepted and Ho (null hypothesis) is rejected. It means that Using Elicitation Technique has significant influence on teaching writing descriptive stext.
ANALISIS PERMUKAAN NANOPARTIKEL FERIT SENG BERDASARKAN ADSORPSI ISOTERM GAS NITROGEN

This research aims to analyze surface characteristic of zinc ferrite nanoparticles based on the N2 adsorption isotherm. The morphology and size of zinc ferrite nanoparticles were observed using a scanning electron microscope. Analysis of N2 adsorption isotherm using the Brunauer- Emmett-Teller  equation  obtained  a  specific  surface  area  of  9.78  m2/g  and  mesoporous structure.    Zinc  ferrite  nanoparticles  were  composed  of  spherical  primary  particles  with  a diameter  of  67  nm.  The  size  of  the  nanoparticles  obtained  from  the  specific  surface  area analysis was greater than the scanning electron microscope image analysis. This finding shows that zinc ferrite nanoparticles are agglomerating to form larger secondary particles. Keywords: Zinc ferrite, nanoparticle, surface area, agglomeration
Library Guides: CJS 190: Introduction to Crime and Justice Studies: APA Quick Guide

This guide is for students in Professor Baboolal's Introduction to Criminal Justice Studies class and any CJS student new to the discipline. Use it to introduce yourself to the discipline and to locate high quality news and research resources.
A Study on the Innovation Efficiency Evaluation by the R&amp;D Operation Type : Focused on the Information Services Industries

This study estimates the innovation efficiency of information service industries using data envelopment analysis. For the input oriented BCC DEA analysis, I use the number of employees and innovation expenses as input factors and total sales as an output factor. And Kruskal Wallis one-way ANOVA has used to find differences between efficiency distributions by the R&D operation type. In the results of this study, the results show polarization of innovation efficiency score. And it is better to operate R&D center as needed than operate own research laboratories.
On Self-Contact and Human Pose

People touch their face 23 times an hour, they cross their arms and legs, put their hands on their hips, etc. While many images of people contain some form of self-contact, current 3D human pose and shape (HPS) regression methods typically fail to estimate this contact. To address this, we develop new datasets and methods that significantly improve human pose estimation with self-contact. First, we create a dataset of 3D Contact Poses (3DCP) containing SMPL-X bodies fit to 3D scans as well as poses from AMASS, which we refine to ensure good contact. Second, we leverage this to create the Mimic-The-Pose (MTP) dataset of images, collected via Amazon Mechanical Turk, containing people mimicking the 3DCP poses with selfcontact. Third, we develop a novel HPS optimization method, SMPLify-XMC, that includes contact constraints and uses the known 3DCP body pose during fitting to create near ground-truth poses for MTP images. Fourth, for more image variety, we label a dataset of in-the-wild images with Discrete Self-Contact (DSC) information and use another new optimization method, SMPLify-DC, that exploits discrete contacts during pose optimization. Finally, we use our datasets during SPIN training to learn a new 3D human pose regressor, called TUCH (Towards Understanding Contact in Humans). We show that the new self-contact training data significantly improves 3D human pose estimates on withheld test data and existing datasets like 3DPW. Not only does our method improve results for self-contact poses, but it also improves accuracy for non-contact poses. The code and data are available for research purposes at this https URL.
Introducing a Fundamental Problem of Language Science

Several authors express doubts that the ongoing accumulation of data in language research will ever coalesce into a coherent theory of spoken language. Some point to a basic problem: there is an ontological incommensurability between basic concepts of language analysis and observations. What is the source of this incommensurabilty? More importantly, why does such a problem persist despite advances in instrumental techniques extending to neuroimaging?
Electronic Medical Records Using Machine Learning Methods and Medical Data Mining AI Applications

Machine Learning, that may be a trade of AI, aims to alter the machines in mechanically learning from the environment and rising their in progress practicality. This can be done from the expertise by interacting with the environment, while not having being programmed expressly. Machine Learning, that may be a trade of AI, aims to alter the machines in mechanically learning from the environment and rising their in progress practicality. This can be done from the expertise by interacting with the environment, while not having being programmed expressly. In order to forestall medical accidents at hospitals, it's vital to know those events at early stages that cause severe medical accidents so take applicable actions supported the events. These events, that square measure outlined as incidents, square measure sometimes according by medical workers to the protection management department that's accountable for the bar of medical accidents in hospitals. The reports square measure analyzed by the department so as to determine that measures ought to be enforced by the clinical staffs. This mechanism is termed a happening coverage system
Rectified Differential Cryptanalysis of 16 Round Present

In this paper, we have suggested rectifications in differential cryptanalysis of ultra-lightweight block cipher PRESENT reduced to 16 rounds. We have shown that proposed differential attack by Wang [3] on 16 round PRESENT can recover at the most 30 subkey bits, although the author has claimed to recover 32 bits of subkey for last two rounds. We have also computed data complexity and success probability for recovering 30 subkey bits accordingly by the differential attack on 16 round PRESENT.
The Effect of VCO + MDT Intervention Compared with that of Giving MDT Only to Tuberculosis Sufferers

Tuberculosis is one of the top 10 diseases that cause death in the world. This study uses a Quasi-experimental research method with the Nonequivalent control group design namely in this design, the experimental group as well as the control group were not randomly selected. To see changes in the conversion from AFB (+) to AFB (-) in the source sample (patient sample), and see the change in conversion from AFB (-) to AFB (+) in the family sample. The results of this study indicate that for the intervention group using VCO + MDT with the results of laboratory examinations in the second month, all respondents were 30 respondents (100%) Negative BTA, whereas in the control group by giving MDT alone, there were 26 respondents (86.67%) of 30 Negative BTA respondents or as many as 4 respondents (13.33%) Positive BTA. Conclusions based on the results of the T-Test in the intervention group and the control group after 2 months of treatment of Tb patients it can be concluded that there is an influence of MDT + VCO treatment on Tb treatment.