Reviewerly/exHarmony huggingface dataset:
Flow conditions for continuous variable measurement-based quantum computing

In measurement-based quantum computing (MBQC), computation is carried out by a sequence of measurements and corrections on an entangled state. Flow, and related concepts, are powerful techniques for characterising the dependence of the corrections on previous measurement results. We introduce flow-based methods for quantum computation with continuous-variable graph states, which we call CV-flow. These are inspired by, but not equivalent to, the notions of causal flow and g-flow for qubit MBQC. We also show that an MBQC with CV-flow approximates a unitary arbitrarily well in the infinite-squeezing limit, addressing issues of convergence which are unavoidable in the infinite-dimensional setting. In developing our proofs, we provide a method for converting a CV-MBQC computation into a circuit form, analogous to the circuit extraction method of Miyazaki et al, and an efficient algorithm for finding CV-flow when it exists based on the qubit version by Mhalla and Perdrix. Our results and techniques naturally extend to the cases of MBQC for quantum computation with qudits of prime local dimension.
CO-WORKING SPACE DI PONTIANAK DENGAN PENDEKATAN EKOLOGI

Currently, there is an increase in workforce that start new independent businesses in the creative economy, either as entrepreneurs or freelancers, this because number of job is not comparable to the number of the workforce. The increase in workers in the creative economy is in line with the digital transformation in Indonesia. The government also responded well to this by making programs related to the creative economy, especially in the digital field. Pontianak City has the potential for development with an increase in the number of workers in the creative economy every year, but Pontianak City does not yet have space to accommodate workers' activities. Co-working space can accommodate workers in the creative economy so they can work in a productive and creative environment. In addition, the provision of supporting digital services in co-working spaces is expected to support entrepreneurs or freelancers in developing their business into the digital field. The co-working space design process uses an ecological approach. Ecological approach is an approach that is environmentally friendly. The Ecological Approach serves as a tool that are implemented towards designs that take into account the potential for the natural surroundings as well as the interrelationships between buildings, nature and people.
Information System for Bricks Sales Online Based

&lt;p&gt;Bricks are a building material that has long been known and commonly used by the community in line with the increasing number and rate of population development. Bricks are materials made of clay with or without additives which go through several processes and stages. The data used in this study is to look directly at the employers and workers who manufacture bricks and look at the various existing literature related to the title that the author studied. The author is interested in researching this stone-making business because to find out how the sales or marketing system for making bricks. From the results of the research conducted by the author, the sales or marketing system for making bricks in Pasar VI village is still done in a simple way, and there is no application. Based on the problems that researchers have observed, an online web-based application is needed so that brick producers can market bricks quickly and earn better profits. This research activity starts from giving directions, providing equipment as sales / marketing aids such as computers, creating websites and training on using the website. The achievement indicators are an increase in partner income by up to 85%, an increase in the amount of production by up to 85%, the partner has a marketing website and can use the website&lt;/p&gt;
Психологія творчості: співпраця студентів закладів вищої художньої-дизайнерської і психологічної освіти

International scientific and practical conference «Pedagogy and Psychology in the Modern World: the art of teaching and learning» : conference proceedings, February 26–27, 2021. Riga, Latvia : «Baltija Publishing». 444 pages.
Graphics Devices and Laying Out Plots

Graphics devices are where R and RStudio create graphic images or files. In Chapter 6, we describe what a graphics device is and the kinds of graphics devices available in R and RStudio. We also cover the functions that work with graphics devices. Following the description of the graphics devices, we go over the arguments of par() not covered in Chapters 3 and 4, then the functions layout() and split.screen(). Three arguments of par() and the functions layout() and split.screen() can create graphics with multiple plots.
Online Teacher Training Design Based on Learning Management System For TPACK

This paper aims to provide training references for teachers during the Covid-19 pandemic and post-pandemic using the Technological Pedagogical Content Knowledge (TPCK) model.In an era that is increasingly advanced and developing, teachers generally have to keep up with existing developments.Technology cannot be separated from an education level.However, the technology used in the educational process must have a strong philosophical and juridical understanding.Besides, existing technology must be accompanied by qualified competencies to create quality education.This study uses a qualitative approach with documentation as a basis for teacher training development based on knowledge technology content.The method used is a literature study.Analysis of research results using national policy analysis.
Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network

We present a novel conditional Generative Adversarial Network (cGAN) architecture that is capable of generating 3D Computed Tomography scans in voxels from noisy and/or pixelated approximations and with the potential to generate full synthetic 3D scan volumes. We believe conditional cGAN to be a tractable approach to generate 3D CT volumes, even though the problem of generating full resolution deep fakes is presently impractical due to GPU memory limitations. We present results for autoencoder, denoising, and depixelating tasks which are trained and tested on two novel COVID19 CT datasets. Our evaluation metrics, Peak Signal to Noise ratio (PSNR) range from 12.53 - 46.46 dB, and the Structural Similarity index ( SSIM) range from 0.89 to 1.
LibGuides: Management of Engineering and Technology: Home

This guide is for the NCU Management of Engineering and Technology specialization. It contains resources available in the NCU Library.
Identifying complaints from product reviews in low-resource scenarios via neural machine translation

Automatic recognition of customer complaints on products or services that they purchase can be crucial for the organizations, multinationals and online retailers since they can exploit this information to fulfil their customers’ expectations including managing and resolving the complaints. Recently, researchers have applied supervised learning strategies to automatically identify users’ complaints expressed in English on Twitter. The downside of these approaches is that they require labeled training data for learning, which is expensive to create. This poses a barrier for them being applied to low-resource languages and domains for which task-specific data is not available. Machine translation (MT) can be used as an alternative to the tools that require such task-specific data. In this work, we use state-of-the-art neural MT (NMT) models for translating Hindi reviews into English and investigate performance of the downstream classification task (complaints identification) on their English translations.
Формування креативної компетентності майбутнього педагога в умовах коледжної освіти як психолого-педагогічна проблема

International scientific and practical conference «Pedagogy and Psychology in the Modern World: the art of teaching and learning» : conference proceedings, February 26–27, 2021. Riga, Latvia : «Baltija Publishing». 444 pages.
On Mitigation of False Positive Problem in Singular Value Decomposition-Based Digital Image Watermarking

Due to the effortless sharingKoley, Subhadeep of multimedia data (mainly images) over the communication channels and social media platforms, copyright protection of such data has become the topic of research interest. This paper presents a robust and false positive free watermarking scheme for digital image copyright protection with singular value decomposition (SVD) in the Stockwell transform domain. Unfortunately, most of the earlier SVD-based watermarking algorithms suffer from false positive or watermark ambiguity problem. In this study, we showed an approach to mitigate the false positive problem. A human visual system (HVS)-based method has been incorporated via discrete Cosine Stockwell transform (DCST). After projecting the input image in the DCST domain, SVD has been performed on the DCST coefficients. Finally, a total insertion-based approach has been presented to embed the watermark logo into the singular matrix of the DCST coefficients. Furthermore, the proposed approach’s security has been augmented by encrypting it with a novel cryptic algorithm called the chaotic logistics map. A detailed false positive analysis proves that the proposed method is free from all kinds of watermark ambiguity problems. Qualitative and quantitative comparisons with other state-of-the-art methods delineate the primacy of the proposed algorithm under most types of malicious signal processing and geometric impairments.
Correction to: A note on the three methods of item analysis

In the original publication of the article, Appendix A was published incorrectly.
Learn from Home with a Simple Think Pair Share

When learn from home becomes a new normal, teachers should switch the class to online. Meanwhile, mastering writing skill is still important in online class because the subjects will be able to express their ideas, feeling and experiences in the written form appropriately. The objective of this study was to find out whether or not writing skill of second semester students of English Language Education Study Program, Faculty of Teacher Training, Mahasaraswati Denpasar University in Academic year 2019/2020 could be improved trough Think Pair Share with distance learning model. The study was designed in the form of classroom action research. Based on the result of the pre-test, post-test, and questionnaire, it could be concluded that writing skill of the second semester students of English Language Education Study Program, Faculty of Teacher Training, Mahasaraswati Denpasar University in Academic Year 2019/2020 could be improved trough Think Pair Share with distance learning model.
The school library and e-learning platforms

The teacher-librarian should be the most effective weapon for collaborative teaching and learning within a school. Teacher-librarians do struggle to find time to effectively plan for the cooperative teaching and learning activities. Often school libraries run their own website as they struggle to offer a digital 24/7 library service for its users. The school library website makes it easier for the teacher-librarian to manage the information delivery but isolates the content. The teacher-librarian managed website is often not an effective tool for cooperative planning and teaching. This paper will look at how the teacher-librarian can use e-learning platforms to deliver a digital 24/7 library service, and in addition, offer a great collaborative space for effective cooperative planning and teaching. This paper will focus on examples of practice in two schools. The first school is a New South Wales government high school and uses Moodle as the e-learning platform. The second school is an international K-12 private school and uses StudyWiz as the e-learning platform.
Assessment of Literature on Webometrics Published in the Scopus-Elsevier Database from 2003 - 2019

To evaluate, year-wise, document types, subject-wise classification, authorship pattern, language pattern, and collaboration of countries in research productivity of webometrics published in journals indexed in the Scopus database from 2003 -2019.The study data retrieved from the Scopus-Elsevier database on file format with commaseparated value (CSV) and note paid techniques as plaintext for measuring the statistical positions to fulfill the study's aim.MS Office Excel Sheet 2010 used for tabulations.The mainstream of documents existing on article shape, followed by conference papers, review articles, editorial, and book chapters.Computer science with 55, 73% take leading space to follow by three other subjects.A majority 61; 81.3% articles written collaboratively, and the remaining 14; 18.6% research papers produced by a single or solo author.The journal Scientometrics got the attention of researchers and published eight articles out of 75 articles.Webometrics attract authors affiliated with 101 countries to mark their sketch in collaborative manners in seven languages, but the English language with 64, 85.3% on the top slot.This study of webometrics indicate a new field of exploration to determine the value of hindrances for more analysis, improvement, and outcomes in the provision of ideas, layout plans, and their execution, and achievement to rise higher in the time of delivering of services or products.
Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion

RGB-D salient object detection (SOD) is usually formulated as a problem of classification or regression over two modalities, i.e., RGB and depth. Hence, effective RGBD feature modeling and multi-modal feature fusion both play a vital role in RGB-D SOD. In this paper, we propose a depth-sensitive RGB feature modeling scheme using the depth-wise geometric prior of salient objects. In principle, the feature modeling scheme is carried out in a depth-sensitive attention module, which leads to the RGB feature enhancement as well as the background distraction reduction by capturing the depth geometry prior. Moreover, to perform effective multi-modal feature fusion, we further present an automatic architecture search approach for RGB-D SOD, which does well in finding out a feasible architecture from our specially designed multi-modal multi-scale search space. Extensive experiments on seven standard benchmarks demonstrate the effectiveness of the proposed approach against the state-of-the-art.
Prototypical Region Proposal Networks for Few-Shot Localization and Classification

Recently proposed few-shot image classification methods have generally focused on use cases where the objects to be classified are the central subject of images. Despite success on benchmark vision datasets aligned with this use case, these methods typically fail on use cases involving densely-annotated, busy images: images common in the wild where objects of relevance are not the central subject, instead appearing potentially occluded, small, or among other incidental objects belonging to other classes of potential interest. To localize relevant objects, we employ a prototype-based few-shot segmentation model which compares the encoded features of unlabeled query images with support class centroids to produce region proposals indicating the presence and location of support set classes in a query image. These region proposals are then used as additional conditioning input to few-shot image classifiers. We develop a framework to unify the two stages (segmentation and classification) into an end-to-end classification model -- PRoPnet -- and empirically demonstrate that our methods improve accuracy on image datasets with natural scenes containing multiple object classes.
Enhancing and Learning Denoiser without Clean Reference

Recent studies on learning-based image denoising have achieved promising performance on various noise reduction tasks. Most of these deep denoisers are trained either under the supervision of clean references, or unsupervised on synthetic noise. The assumption with the synthetic noise leads to poor generalization when facing real photographs. To address this issue, we propose a novel deep image-denoising method by regarding the noise reduction task as a special case of the noise transference task. Learning noise transference enables the network to acquire the denoising ability by observing the corrupted samples. The results on real-world denoising benchmarks demonstrate that our proposed method achieves promising performance on removing realistic noises, making it a potential solution to practical noise reduction problems.
Fault mitigation in real-time cloud computing

The introduction of computers has been a huge plus to human life in its entirety because it provides both the world of business and private an easy and fast means to process, generate and exchange information. However, the proliferation of networked devices, internet services and the amount of data being generated frequently is enormous. This poses a major challenge, to the procurement cost of high performing computers and servers capable of processing and housing the big data. This called for the migration of organizational and/or institutional data upload to the cloud for highlevel of productivity at a low cost. Therefore, with high demand for cloud services and resources by users who migrated to the cloud, cloud computing systems have experienced an increase in outages or failures in real-time cloud computing environment and thereby affecting its reliability and availability. This paper proposes and simulates a system comprising four components: the user, task controller, fault detector and fault tolerance layers to mitigate the occurrence of fault combining checkpointing and replication techniques using cloud simulator (CloudSim).
YouTube como recurso de enseñanza para estudiantes del área de la salud

The objective of this paper is to make a bibliographic review and narrative about the implementation of the YouTube platform withinthe Teaching Learning Process in students from health-related careers, knowing that it facilitates the creation and dissemination ofknowledge; they increase the capacity for communication, collaboration and information development and effectively promotesthe exchange of information, communication and collaboration in educational contexts as demonstrated since its creation in 2005.However, YouTube as a single tool is not enough and needs to be regulated so that its access gives the student quality information.That’s why YouTube is being incorporated by many universities as a complement in the traditional way system of learning, toreinforce learning.
Offline Multilanguage Validation Analysis Using FEDSEL

Handwriting recognition is a challenging task. In this paper, characters are first extracted from the English, Arabic, and Chinese handwriting dataset. The handwritten content recognition process comprises four stages, namely information preprocessing, segmentation, feature extraction, and dimension. The character segmentation algorithm is based on forward and backward classification. The present work implements the feature dimension sequence labeling method (FEDSEL) and semantic role labeling (SRL) for handwritten recognition. The dataset used is the HCAR database. The accuracy of the proposed method is 95.77%.
Improvements on "Secure multi-party quantum summation based on quantum Fourier transform"

Recently, a quantum multi-party summation protocol based on the quantum Fourier transform has been proposed [Quantum Inf Process 17: 129, 2018]. The protocol claims to be secure against both outside and participant attacks. However, a closer look reveals that the player in charge of generating the required multi-partite entangled states can launch two kinds of attacks to learn about other parties' private integer strings without being caught. In this paper, we present these attacks, and propose countermeasures to make the protocol secure again. The improved protocol not only can resist these attacks but also remove the need for the quantum Fourier transform and encoding quantum operations by participants.
Quadratic residues and related permutations

Let $p$ be an odd prime. For any $p$-adic integer $a$ we let $\overline{a}$ denote the unique integer $x$ with $-p/2<x<p/2$ and $x-a$ divisible by $p$. In this paper we study some permutations involving quadratic residues modulo $p$. For instance, we consider the following three sequences. \begin{align*} &A_0: \overline{1^2},\ \overline{2^2},\ \cdots,\ \overline{((p-1)/2)^2},\\ &A_1: \overline{a_1},\ \overline{a_2},\ \cdots,\ \overline{a_{(p-1)/2}},\\ &A_2: \overline{g^2},\ \overline{g^4},\ \cdots,\ \overline{g^{p-1}}, \end{align*} where $g\in\Z$ is a primitive root modulo $p$ and $1\le a_1<a_2<\cdots<a_{(p-1)/2}\le p-1$ are all quadratic residues modulo $p$. Obviously $A_i$ is a permutation of $A_j$ and we call this permutation $\sigma_{i,j}$. Sun obtained the sign of $\sigma_{0,1}$ when $p\equiv 3\pmod4$. In this paper we give the sign of $\sigma_{0,1}$ and determine the sign $\sigma_{0,2}$ when $p\equiv 1\pmod 4$.
VC - A Method for Estimating Time-Varying Coefficients in Linear Models

This paper describes a moments estimator for a standard state-space model with coefficients generated by a random walk. A penalized least squares estimation is linked to the GLS (Aitken) estimates of the corresponding linear model with time-invariant parameters. The VC estimates are moments estimates. They do not require the disturbances to be Gaussian, but if they are, the estimates are asymptotically equivalent to maximum likelihood estimates. In contrast to Kalman filtering, no specification of an initial state or an initial covariance matrix is required. While the Kalman filter is one sided, the VC filter is two sided and therefore uses more of the available information for estimating intermediate states.. Further, the VC filter has a clear descriptive interpretation.
IMPACT OF THE COVID-19 PANDEMIC ON ONLINE EDUCATION OF PUBLIC RELATIONS STUDENTS IN RUSSIAN UNIVERSITIES

IMPACT OF THE COVID-19 PANDEMIC ON ONLINE EDUCATION OF PUBLIC RELATIONS STUDENTS IN RUSSIAN UNIVERSITIES
ATF and Crime Stoppers offering cash reward up to $6,000 for ID of burglar who stole 15 pistols in Auburn

The ATF is asking for your help to ID this unknown male who used bolt cutters and a pry bar to break through an outer and inner door of Coastal Farm and Ranch in Auburn at about 4 a.m. on Tuesday, Feb. 16.
Be Wise - Condomise

The paper is based on a Master’s thesis that investigated how different organisations in Botswana inform people about AIDS. The thesis also addressed how some receivers of the AIDS information experience it. The study was conducted through interviews and observations. The findings revealed that the organisations and the information-receivers do not always have the same perception of the best ways to inform people about AIDS. Mass communication campaigns were most often used, but the young women studied preferred to be informed on a more personal level. A discussion about HIV/AIDS and school libraries follows.