Reviewerly/exHarmony huggingface dataset:
Extending classical processors to support future large scale quantum accelerators

Extensive research in material science together with outstanding engineering efforts allowed quantum technology to be significantly improved hence enabling continuing scaling of quantum circuit size. In around 10 years, quantum annealing circuits have reached 103 qubits and trailing by several years, universal quantum circuits now demonstrate similar trends. From the current trends we can expect that quantum computers will reach thousands of qubits in the next 5--10 years.
THE CORRELATION NOUN PHRASE AND WRITING OF DESCRIPTIVE TEXT AT TENTH LEVEL STUDENTS OF SMA N 5 OKU

The aim of this research was to find out whether or not there was a significant correlation between noun phrase and writing descriptive text. This study was using quantitative approach. The technique for collecting data was noun phrase test and written test. This study was conducted at SMA N 5 OKU. The population of this study was the tenth grade students of SMA N 5 OKU in academic year 2018/2019 and the samples were 122 students which were choosen randomly from the population. The data were collected by using noun phrase test and written test. The data were analyzed by using the correlational analyses and computerized by using SPSS 23. After conducting the research, the researcher got the data which showed that there was significant correlation between noun phrase and writing descriptive text. The correlation was significant in terms of the correlation coefficient was 0.424. It meant that research hypothesis (Ha) alternative hypothesis was accepted and (Ho) null hypothesis was rejected.
MindCam: An Approach for Sketch Based Image Retrieval

Image retrieval plays a major role in computer vision applications.FaceSketch Based Image Retrieval (FSBIR) draws attention with its wide application in criminal investigation by law enforcement agencies.Automatic retrieval of face images from police mug-shot databases guides investigators to locate or narrow down the search area.MindCam is an efficient image retrievalsystem based on face sketch queries.MindCam leverages Scale invariant Feature Transform (SIFT)to figure out the interest points and extract the features independent of scale.Binary hashing is used to compute binary hash codes from SIFT feature descriptors.This makes feature matching more efficient by computing the Hamming distance of the binary codes.Pool of matching candidates is identified based on Hamming distance and Fine Grained Matching is done on candidates in the pool.A user interactive approach is guaranteed by re-ranking of retrieved results.Reduced computational complexity makes MindCam suitable for realistic applications like mobile devices and wearable devices.System also provides audio description of results which makes the system user friendly.
Needle in a haystack: an empirical study on mining tags from Flickr user comments

In the Web2.0 era, user generated content has become the main source of information of many popular photo-sharing websites such as Flickr. In Flickr, many photos have very few or even no tags, because only the uploader can mark tags for a photo. Meanwhile, the user can deliver his/her comment on the photo, which he/she is browsing. Therefore, it is possible to recommend new tags or enrich the existing tag set based on user comments. The work of this paper contains two phases, i.e., the tag generation, and the ranking algorithm. In the phase of candidate tags generation, two methods are introduced relying on natural language processing (NLP) techniques, namely word-based and phrase-based. In ranking and recommending tags, we proposed an algorithm by jointly modelling the location information of candidate tags, statistical information of candidate tags and semantic similarity between candidate tags. Extensive experimental results demonstrate the effectiveness of our method.
Simulator to Improve the Productivity of Yogurt Processing Based on a Model of Finite Automaton

The technological tools contribute to the leverage of PymES (small and medium enterprises) in their productive processes.The developed simulator presents a friendly interface that facilitates the manipulation and interpretation of the information of the mathematical model of the process of industrial manufacturing of yogurt; through the implementation of the user's communication with a database system that allows to classify and store the information related to this process, guaranteeing compliance with the requirements of the system through the execution of tests.The simulator complies with the stages of the RUP methodology and has two levels of security, allowing the end user to carry out follow-ups that help determine faults in the production process to obtain high-quality products.
Real-Time GIS for Health Disaster Response in the Largest Archipelagic Country

Introduction: Besides being located on the Pacific Ring of Fire, Indonesia is the largest archipelago country in the world. Some parts of the country are not very accessible. It raises difficulties in controlling and monitoring a disaster response mission remotely in real-time. Muhammadiyah, the Indonesian non-governmental organization (NGO) that has been responding to disaster since 1919, used Geographic Information Systems (GIS) for Health Disaster Response (HDR) in the Lombok Earthquake 2018, in cooperation with ESRI Indonesia, as one alternative to disaster response controlling and monitoring. Aim: To show the benefit of using real-time GIS for HDR in an archipelago country. Methods: While responding to the disaster in Lombok, the Muhammadiyah Health Disaster Response Team was collecting data of patient, medication, problem, need, location, and resource with computers and smartphones, inputting the data that was forwarded to the ArcGIS platform. The Health Disaster Response Team coordinator and Muhammadiyah Board monitored and analyzed the health response through the GIS dashboard in Yogyakarta, 652km far from Lombok Island. Results: Using real-time GIS has been useful for disaster response. It was efficient by cutting flight and other transport costs, connected by the internet, and communicative by graphic and map dashboard. It was a green approach since it was paperless, and analysis-friendly by real-time data compilation and computation. Discussion: One of the big gaps in disaster response monitoring seems to be real-time data. Especially in an archipelago country, it is costly, time-consuming, and resource consuming. Daily big data may be frustrating and can become “white paper syndrome.” One of the good approaches to that is GIS Web services although it must be realized that the internet connection in a rural area can be another challenge. It can be solved by in-gadget data memory that can be delivered while the internet connection is available.
Pengelolaan Arsip Dinamis Di Dinas Kearsipan Provinsi Sumatera Selatan

The purpose of this study is to find out the management of dynamic records and archival retrieval systems at the Archives Office of South Sumatra Province. This study uses the observation method with data collection techniques in the form of interviews, namely Mr. H. Ir. Muhammad Sidik Faisol, M.Sc as a guest speaker. The results obtained from this study are known that the management of dynamic records in the Office of Archives of South Sumatra Province uses a classification system as a means of structuring the archives so that in the archive storage will be arranged based on classification numbers. The archive destruction method used was enumeration, this method was chosen because it was considered more environmentally friendly than the combustion method. And for the file retrieval system, still by manual or by using a computer system.
Comparative Study on Text Detection and Recognition from Lecture Videos

Lecture videos are rich with textual information and to be able to understand the text is quite useful for larger video understanding/analysis applications.Textual information extracted from these sources can be used for automatic image and video indexing, and image structuring.But, due to variations in text style, size, alignment of text, as well as orientation of text and low contrast of the image and complex background make challenging the extraction of text.From the past recent years, many methods for extraction of text are proposed.This paper provides with analysis, comparison of performance of various methods used for extraction of text information from images.It summarizes various methods for text extraction and various factors affecting the performance of these methods.
3D Object Retrieval

In the last few years, the various technologies related to acquiring 3D models of everyday objects has seen a steady increase. These models are then being used in many areas such as, engineering, museums, cinematics and healthcare. Hench, there has been an increasing need for 3D content-based object retrieval and it has become the focus of many research activities. One of the important research area is to find sufficient number of descriptors in order to capture local and global characteristics of an object. In this paper, we propose joint learning of the view-model relevance for retrieval of 3D objects by formulating the objects using different structures of graph such as hyper graphs. Here the model-based and view-based relevance are jointly explored in a graph-based framework.
Deep CNN jointing low-high level feature for image super-resolution

Image super-resolution methods based on forward-feed convolutional neural networks (CNN) reconstruct the image with more details and sharper texture. However, most of these methods do not consider the influence of high level semantic feature to improve image perceptual effect. In this paper, we propose a deep CNN architecture jointing low-high level feature for image super-resolution. Our method uses 17 weight layers to predict residual between the high resolution and low resolution image. And we joint the low level and high level image features to constraint the network parameters updating. Experimental results validate that our method reconstruct the high resolution images with clear edge and less warp.
The Effectiveness of Reciprocal Teaching Strategy to Increase Students Reading Comprehension in Narrative Text

Reciprocal Teaching Strategy has proven as a good method in increasing students reading comprehension. This method has been applied in teaching in elementary school students, ESL (English as Second Language) and EFL (English as Foreign Language) contexts. The researcher doing a research about the implementation of Reciprocal Teaching Strategy to increase students reading comprehension. The objective of this research is to find out whether Reciprocal Teaching Strategy is Effective in Increasing Students Reading Comprehension in Narrative Text and to know how Reciprocal Teaching Strategy enhance students’ reading comprehension in narrative text. This research use a quantitative method Quasi Experimental Design. The data is analyzed by the researcher using SPSS and Microsoft Excel. The subject are eighth grade one of the State Junior High School of Surabaya. This research done for about one month from 20th January until 22nd February 2018. Reciprocal Teaching Strategy has 4 steps in it, such as: Predicting, Questioning, Clarifying, and Summarizing. This strategy is effective for students’ cognitive process in reading that prevent from failure and the result showed Reciprocal Teaching is Effective In Reading Narrative Text, it can be seen from the significant improvement of students score of pretest to post test.
RESPONSIBLE PROFESSIONAL BEHAVIOR OF THE PROFESSION OF SOCIAL PROFILE: ACMEOLOGICAL ASPECTS

The article deals with the acmeological aspects of responsible behavior of a specialist in the sociological profile. The professionalism of a specialist in the sociological profile is the high level of development of professional competence, individual qualities and personality traits. Professionalism is an inalienable degree to its highest quality – the level of skill in a particular activity. A specialist in the sociological profile is a mature person by all means. Acmeology considers maturity as the ability to self-improvement (physical, moral, psychic, professional) by means of self-education, self-design, self-planning, self-organization and self-organization, self-control, self-correction by a person of his own activities. The main factor of creative development of a person (specialist of sociological profile), an indispensable condition for internal education, readiness for responsible and successful activity, e education. For all representatives of socio-economic occupations inherent desire to reach the peaks in their profession through self-development. In the course of self-development on the basis of professionalism, through the strategies of cooperation, responsibility is formed: oneself, close people, microsotsium, mesosotsium, macrosiums. Responsibility is programmed by certain actions. Professional responsibility is an acmeological invariant of the specialist of the «man-man» system. The article describes the types of professional and personal development: altercentered, conventional, dominant, and research (cognitivized). The professional ethics as a system of moral requirements for the professional activity of a person are analyzed. The categories of professional ethics are: professional duty, professional responsibility, professional conscience, professional honor, professional dignity, etc. The basis of professional compliance is the actual relationship between the result of professional activity (pragmatic and psychological) and its consequences for the individual and society. Professional deprivation implies a conscientious attitude to work. A professionally responsible specialist performs his professional duties in a qualitative way. A very important factor in the successful implementation of the professional activity of a specialist in the sociological field is his responsible professional behavior, in the process of formation of which considerable factors are acquired such factors as joy – gloom, pessimism – optimism, euphoria – wisdom.
Interfacing solid-state single-photon sources and integrated photonics circuits: high rate three-photon coalescence

We report the interfacing of an integrated solid-state single-photon source with an integrated, reconfigurable photonic tritter demonstrating a highly efficient quantum interference of three indistinguishable single photons. © 2019 The Author(s)
A semi-supervised approach of graph-based with local and global consistency

An approach of graph-based semi-supervised learning is proposed that consider the local and global consistency of data. Like most graph-based semi-supervised learning, the algorithm mainly focused on two key issues: the graph construction and the manifold regularisation framework. In the graph construction, these labelled and unlabelled data are represented as vertices encoding edges weights with the similarity of instances, which means that not only the local geometry information but also the class information are utilised. In manifold regularisation framework, the cost function contains two terms of smoothness constraint and fitting constraint, it is sufficiently smooth with respect to the intrinsic structure revealed by known labelled and unlabelled instances. Specifically, we design the algorithm that uses the normalised Laplacian eigenvectors, which ensure the cost function can converge to closed form expression and then, we provide the convergence proof. Experimental results on various datasets and entity relationship classification show that the proposed algorithm mostly outperforms the popular classification algorithm.
Relevansi Penyajian Materi Membaca dalam Buku Teks Bahasa Indonesia Kelas VII SMP: Tinjauan Karakteristik Pembelajar

This study aims (1) Explain the presentation of reading material in grade VII Indonesiantextbooks in SMP and (2) Explain the relevance of the presentation of readingmaterial in grade VII SMP Indonesian textbooks in terms of learner characteristics.The type of research used in this research is qualitative descriptive. The source ofthis research data is a document, namely Erlangga's VII grade SMP Indonesiantextbook. The data of this study are in the form of reading material contained inErlangga's VII grade junior high school Indonesian textbook. The data collectiontechnique uses the technique to see and note. The validity of the data in this studyuses theoretical triangulation. This study uses content analysis techniques. Based onthe results of the study of 60 reading material data, there are 11 data that areirrelevant to students, because of the characteristics related to initial abilities, suchas: intellectual ability, thinking ability, and mobility. Second, there are 46 data thatare not relevant to students because of characteristics related to background andsocio-cultural status. Third, 3 data that are not relevant to students because of thecharacteristics relating to personality differences, such as: traits, attitudes, feelings,interests and so on.
An Exploration of EFL Students' Use of Online English Reading Strategies at University Level

The purpose of this survey method study was to explore English as Foreign Language (EFL) learners’ online English reading strategies using Taiwanese university students as examples. The relationships between online English reading strategy and individual students’ characteristics were also examined. Data was obtained through a self-developed questionnaire with a cluster sample of 537 students from 11 universities. The collected data was then analyzed using descriptive analysis, t-test, and one way ANOVA in SPSS v.23, with the significance level set at .05. The results indicated that the participated students used online English reading strategies in a medium level. No significant difference was found in students’ uses of these strategies in genders and years of English learning experience, but in grade level and perceived reading ability. This study results provided information that completes the literature and implications for practice and directions for further research.
MODELS OF IMAGES WITH RADIAL-CIRCULAR STRUCTURE

Abstract. The overwhelming majority of known image models are varieties of random fields defined on rectangular two-dimensional grids or grids of higher dimension, for example. In some practical situations, the images have an annular, radial or radial-circular structure. For example, images of the facies (thin film) of dried biological fluid, eyes, cut of a tree trunk or a fruit, blood vessel, erythrocyte, blast pattern, end face detail, etc. In addition, radar and other images are physically obtained in polar or spherical coordinates. These features of images require their consideration in their mathematical models. In this paper, an autoregressive models of homogeneous and inhomogeneous random fields defined on a circle or oval are considered as representations of images with radial or radial-circular structure.
A Continuous-Variable Quantum Repeater based on Quantum Scissors

Using the quantum scissors operation for entanglement distillation and a single-rail Bell state projection for non-Gaussian entanglement swapping, we show a multiplexed quantum repeater scheme for continuous-variable entanglement distribution over a pure loss communication channel. © 2019 The Author(s)
Cascaded Trust Network-based Block-Incremental Recommendation Strategy

Accurate recommendation can effectively bridge sellers and buyers.Because the computation complexity and storage complexity of static data-oriented recommendation algorithms are very high, researchers have recently explored streaming recommendation systems.However, streaming recommendation wastes large quantities of computation resources in quick response and is not suitable for seasonabledependent situations.Therefore, this paper presents a block incremental recommendation strategy.First, a cascaded trust network construction method is presented, which is realized by using a distrust relationship to purify and predict users' trust relationships.Then, the social regularization is improved by comprehensively considering the cascaded trust relationship, the behavior bias of users and items.Finally, a block-incremental recommendation algorithm called ITDBMF is proposed, which uses the Ebbinghaus forgetting function to decay incremental rating blocks and simultaneously considers incremental social relationships.Experimental results show that the incremental recommendation strategy given in this paper can not only outperform benchmark algorithms in prediction accuracy, but also save storage of remote data and matrix factorization time.
ERRORS IN USING DICTION AND GRAMMAR OF STUDENTS’ FINAL COURSE ACADEMIC WRITING OF DEPARTMENT OF ENGLISH EDUCATION AT JAKARTA STATE UNIVERSITY

This research aims to analyze in depth the use of diction error, subject and predicate, and the cause of the error on students of English Education in State University of Jakarta. The research is a qualitative study using descriptive methods. The Instrument of this research is 50 students of third semester essay at the end of the task of writing an academic course of the academic year 2012/2013. The results of this research showed the majority of student errors occurred in the category of diction. Diction ranks first in the percentage of error as much as 63%, followed by subject and verb agreement 37%, and the cause of the error is due to the influence of the first language, translation, and carelessness
Sentiment Analysis in Product Reviews using Natural Language Processing and Machine Learning

Lately, we have seen a twist of online web based business sites.It shows an extraordinary chance to share our surveys and evaluations for different items we buy.Looking to the rating can't the only one help a client to get an outline about the item rather the most ideal route is to peruse the audits about the item.Be that as it may, at that point a fascinating issue comes up.Imagine a scenario where the quantity of surveys is in the hundreds or thousands.Which comprise of 10 to 15 pages at that point it's simply not possible to experience each one of those surveys because of wastage of time and exertion.Here comes the significance of audits.To mine profitable data from audits to comprehend a client's inclinations and make a precise end pivotal.In this work, we propose a sentiment based rating expectation technique to take care of this issue.
Research on Security Evaluation of Government Cloud Platform Based on Fuzzy Analytic Hierarchy Process

E-government cloud, combined with the emerging technology of cloud computing, streamlines, optimizes and integrates government management and service functions. It effectively solves the shortcomings of traditional e-government platforms, and opens up a new path for China's e-government construction. The application of cloud computing has greatly promoted the efficiency of the government system, but the security of cloud computing has seriously affected the development of e-government cloud. This paper analyzes the security problems faced by e-government cloud, summarizes the coping strategies, and proposes a method for e-government cloud platform security assessment, which provides reference for the construction of e-government cloud.