Reviewerly/exHarmony huggingface dataset:
DIKSI DALAM KARANGAN NARASI SISWA KELAS VIII SMP NEGERI 1 PACET

This article describes the ability of students of eight grade of High School 1 Pacet Cianjur 2011/2012 in the use of diction in a narrative essay. Research was carried out by using the descriptive method. Based on the results of data analysis and discussion are showed that students’ ability to write essay in terms of accuracy of the use of diction which is an average 66.36. An examination of the use of language styles, the average value obtained is 65.68 students, meanwhile, viewed from the aspect of the use of the phrase sentences in a narrative written by the average value obtained by the students is 66.36. Therefore, it can be concluded that in general the ability of students to use diction, style and expression language sentences in writing a narrative essay is generally sufficient.
kimberlyhirsh makes point that there must be ...

@kimberlyhirsh makes point that there must be a bigger purpose for building a site for people. Must be connected to purpose based learning. #IndieWeb
그림책을 활용한 집단표현예술치료가 유아의 창의성과 정서지능에 미치는 영향

This study was conducted to investigate the influence of group expressive arts psychotherapy on children’s creativity and emotional intelligence through use of picture books. The targets in the study were 12 children between 4-5 years old; six of the children were placed in the experimental group and six in the control group. The experimental group participated in the group expressive arts psychotherapy program from June 1, 2018 to July 11, 2018, twice a week for 60 minutes per session for a total of 12 times. The collected data were analyzed using SPSS 20.0; we also used Mann-Whitney U to identify homogeneity between the experimental group and the control group before the start of the program. Following the program, we looked for effects of the program using the Wilcoxon Signed Rank Test. The result of this study demonstrated that group expressive arts psychotherapy program through use of picture books positively influenced children’s creativity and emotional intelligence and possessed potential to help children develop into a mature member of the society.
RUSSIAN SCIENTIFIC, TECHNOLOGICAL AND EDUCATIONAL COMPLEX: WHAT DOES THE DISCUSSION AROUND "SCIENCE" PROJECT SHOW?

RUSSIAN SCIENTIFIC, TECHNOLOGICAL AND EDUCATIONAL COMPLEX: WHAT DOES THE DISCUSSION AROUND "SCIENCE" PROJECT SHOW?
Learning bi-utterance for multi-turn response selection in retrieval-based chatbots

Multi-turn response selection is essential to retrieval-based chatbots. The task requires multi-turn response selection model to match a response candidate with a conversation context. Existing methods may lose relationship features in the context. In this article, we propose an improved method that extends the learning granularity of the multi-turn response selection model to enhance the model’s ability to learn relationship features of utterances in the context, which is a key to understand a conversation context for multi-turn response selection in retrieval-based chatbots. The experimental results show that our proposed method significantly improves sequential matching network for multi-turn response selection in retrieval-based chatbots.
Research and Application of Transparent File Encryption Technology on Android Platform

Aiming at the data security problem of Android platform, a transparent encryption system based on file filter driver is designed and implemented, according to the technology of file transparent encryption and decryption system based on hook transparent encryption technology and file filtering driven transparent encryption technology used on windows platform. This system is different from the traditional APP development method of Android system. By intercepting the system call function and using the secret-key converted from the host MAC address, the encryption and decryption algorithm is written into the kernel, which fundamentally guarantees the security of user information. At the same time, the user's security experience is improved by putting authentication on the screen unlocking. The system design and implementation are described in this paper from system requirement analysis to overall design and detailed design of each module. Android application development technology and cross-compiling principle are used in the coding process. The system test results show that the system can effectively transparently encrypt files and protect the privacy of mobile files.
A new mechanism on hate speech detection with hateful and offensive expressions on Twitter using various machine learning techniques

A lethal online substance has turned into a noteworthy issue in this day and age because of an exponential increment in the utilization of the web by individuals of various societies and instructive foundation. Separating hate speech and offensive language is a key test in the programmed detection of dangerous content substance. In this paper, we propose a way to deal with naturally order tweets on Twitter into three classes: hateful, offensive and clean. Utilizing Twitter dataset, In this paper, we propose a way to deal with distinguish hate expressions on Twitter. Our methodology depends on unigrams and examples that are consequently collected from the preparation set. These examples and unigrams are later utilized, among others, as highlights to prepare a machine learning calculation. Our analyses on a test set made out of 2010 tweets demonstrate that our methodology achieves an exactness equivalent to 87.4% on identifying whether a tweet is offensive or not (twofold classification), and precision equivalent to 78.4% on distinguishing whether a tweet is hateful, offensive or clean (ternary classification).
Metajelo: a Metadata Package for Journals to Support External Linked Objects

We propose a metadata package that is intended to provide academic journals with a lightweight means of registering, at the time of publication, the existence and disposition of supplementary materials. Information about the supplementary materials is, in most cases, critical for the reproducibility and replicability of scholarly results. In many instances, these materials are curated by a third party, which may or may not follow developing standards for the identification and description of those materials. As such, the vocabulary described here complements existing initiatives that specify vocabularies to describe the supplementary materials or the repositories and archives in which they have been deposited. Where possible, it reuses elements of relevant other vocabularies, facilitating coexistence with them. Furthermore, it provides an â€œat publicationâ€ record of reproducibility characteristics of a particular article that has been selected for publication. The proposed metadata package documents the key characteristics that journals care about in the case of supplementary materials that are held by third parties: existence, accessibility, and permanence. It does so in a robust, time-invariant fashion at the time of publication, when the editorial decisions are made. It also allows for better documentation of less accessible (non-public data), by treating it symmetrically from the point of view of the journal, therefore increasing the transparency of what up until now has been very opaque.&#x0D;
LibGuides: Systematic reviews: Overview

Overview of systematic review steps and resources to assist researchers conducting reviews.
A hibrid approach in first course of statistics

At the moment an intense debate is taking place on the form in which we teach in the classrooms in the different educational levels facing two conceptions: the traditional one against the innovative one. The debate about what and how to teach takes on special relevance when we teach quantitative subjects in careers with a nonquantitative profile such as Business Administration degree and with academic curricula that have gone from five to four years. Additionally, we must also add that the current student arrive at university with new psycho-social characteristics make the traditional tools available to us obsolete, this inevitably means that we have to adapt to the new framework. For this, we propose a design of the classes based on a combination of: 1) a set of traditional strategies and materials, 2) a set of multimedia tools 3) a set of learning techniques based on the concepts of neuroscience (neuroeducation) and finally 4) the implementation of flipped classroom. The empirical results show: with regard to students: 1) better average grade, 2) lower variability grades and professors received better general assessments at the end of the course about thedynamics of the class.
Statistical Metrics of Hardware Security

Author(s): Althoff, Alric Joseph | Advisor(s): Kastner, Ryan | Abstract: Hardware security is a fundamental and increasingly important contributor to the trustworthiness of our computing infrastructure. With the proliferation of embedded computers, attacks focused on exploiting hardware vulnerabilities are being discovered rapidly, and mitigation techniques are being proposed and deployed. But how do we determine the effectiveness of a mitigation against attacks that may not yet exist? Methods that answer this question are called security metrics. In situations where an attack relies on either disruption or interception of non-deterministic values, these security metrics are based on statistics. Statistical metrics are based on assumptions about the capabilities of potential attackers and the nature of the measurements. Metrics with assumptions that are too strong can be a source of false confidence, because a favorable metric result does not necessarily indicate a secure device. In this dissertation, I formulate practical metrics in the context of power side-channel analysis and continuous testing of random number generators that do away with many of these limiting assumptions. This dissertation has three major facets. In the first, I present a hardware system and statistic for continuous testing of random number pipelines which can be used irrespective of the underlying probability distribution and requires minimal a priori knowledge about the system to be monitored. The second, the Holistic Assessment Criterion, is a statistic that allows ranking of devices and algorithms with respect to the entire measurement window, and is sensitive to vulnerabilities in the underlying high-dimensional geometry of the measurement vectors. The third Computational Blinking, is an architectural mitigation strategy relying on a metric that ranks times during execution of an algorithm in order of vulnerability.
Survey on Detection Methods for Self-Driving Cars

Accurate vehicle detection or classification plays an important role for self-driving cars. Objects classification and detection can be used in various such as Robotics, Medical Diagnosis, Safety, Industrial Inspection and Automation, Human Computer Interface, Advanced Driver Assistance System and Information Retrieval. In this article, we investigated the methods of detection and classification in context images and videos. SIFT, HOG, SVM, CNN, faster RCNN and YOLO methods are reviewed to detect and recognize the objects. The paper aims to know the methods that detect the obstacles on the way to reduce the traffic accidents. We summarize the results, faster-RCNN is better than the other methods for real-time citing the advantages and disadvantages of existing methods.
Subjektsegenskaper i förändring: Indefinita subjekt i fornsvenskt lagspråk

In Old Swedish, the placement of the subject was tied to its function in the information structure of the clause: rhematic subjects, which are semantically indefinite and introduce a new referent to the text, were most often postverbal. The study analyses such subjects in Old Swedish legal language in relation to the order of constituents in the clause, the position of the clause in the text, and the structure of the subject. Three questions are posed: 1. What order of constituents is found in clauses with semantically indefinite subjects? 2. Do these clauses appear in initial, medial, or final position in paragraphs and subparagraphs? 3. What structure does a semantically indefinite subject have? The corpus consists of all main clauses (n=210) and subordinate clauses (n=28) with indefinite subjects in three sections of the Law of Uppland. An indefinite subject seldom (5.2%) appears in the preverbal position in main clauses, while this is common in subordinate clauses (71.4%). In over 93% of main clauses, the subject appears postverbally as the second or third constituent, but placement as the fourth constituent is rare. The main clauses are often verb-initial conditional clauses in which the preverbal position is not a possibility. The clauses tend to appear in initial or medial position in the text, in the introduction to a paragraph or a subparagraph. The subjects are mainly short, bare nouns, but they can also be combined with numerals, pronouns, or relative clauses.
Error Analysis Of Simple Tense In Writing Made Made By The Students Of Solideo Gracias School

This study aims at describing the grammatical errors that happen in the examination of the sixth grade students of Solideo Gracias School located in Legok. Two goals of the study are formulated as following: first what types of grammatical error of Simple Present Tense in Writing made by the sixth grade Students of Solideo Gracias School at Legok. Second, what are the sources of those errors?. To conduct the data collection, the writer gave out two writing tasks to the target group of study population. In task 2, they were asked to write a 100-150-words essay on “ Family Daily activities “ topic, with 11 guiding points. Having gathered the data, the writer then identified all the errors occurring in each set of the ten samples. After that all errors had been identified and tabulated, the writer continued with errors classification and analysis using Qualitative method, through which she discusses what types of errors they are and what likely the causes of the errors are. The data were analyzed using the theory introduced by Brown (2000). The writer only focuses an analyzing the errors of students’ writing using inter lingual and intra lingual error. As the result the writer found out many errors that were done by students in using Simple Present Tense. Based on the analysis of grammatical errors the types of errors found were such as addition, omission, diction, jamak tunggal, spelling, mis-information, mis-ordering, article and capitalization, it can be concluded that students still have difficulties in learning grammatical structure in writing process.
Development of common repositories: the complex coordination of collaborative work

Current archaeological research practices confirm a strong trend towards the grouping of researchers and the sharing of data, which now requires the establishment of shared platforms. This change in practices is reflected in the shift from working locally to opening up to databases shared by several teams, several institutions and even several countries. Since 2005, the experience of seven projects carried out in the Traces laboratory (Architerre, ChasseoLab, Depart, Graph-Comp, Modelespace, Monumen, M&P) in collaboration with French and foreign partner institutions (Ministry of Culture, regional services, CNRS, universities, preventive archaeology organizations and companies, associations, etc.) has helped to clarify the principles of coordination, complexity, collaborative work and the impact of the choices made.
Interactive Object Detection

The success of state-of-the-art object detection methods depend heavily on the availability of a large amount of annotated image data. The raw image data available from various sources are abundant but non-annotated. Annotating image data is often costly, time-consuming or needs expert help. In this work, a new paradigm of learning called Active Learning is explored which uses user interaction to obtain annotations for a subset of the dataset. The goal of active learning is to achieve superior object detection performance with images that are annotated on demand. To realize active learning method, the trade-off between the effort to annotate (annotation cost) unlabeled data and the performance of object detection model is minimised. Random Forests based method called Hough Forest is chosen as the object detection model and the annotation cost is calculated as the predicted false positive and false negative rate. The framework is successfully evaluated on two Computer Vision benchmark and two Carl Zeiss custom datasets. Also, an evaluation of RGB, HoG and Deep features for the task is presented. Experimental results show that using Deep features with Hough Forest achieves the maximum performance. By employing Active Learning, it is demonstrated that performance comparable to the fully supervised setting can be achieved by annotating just 2.5% of the images. To this end, an annotation tool is developed for user interaction during Active Learning.
THE ACTUALITY AND DEMAND FOR ESTABLISHING SPORTS AND LEISURE CLUBS FOR STUDENTS OF A GIANG UNIVERSITY, VIETNAM

The research results are an evidence about the necessity for the establishment of the Recreational Sports club model for students completing the physical education program at An Giang University in An Giang province. By analyzing methods of domestic and foreign documents, expert interviews, modeling, medical, physiological function tests, pedagogical experiment and statistical mathematics. The author has demonstrated the necessity for the establishment of the Recreational Sports club model at An Giang University with the specific, scientific and logical results among the research subjects.
An Enhanced Image Dehazing Method for the Application in Urban Computing

The appearance of images captured in some weather conditions is often degraded due to the presence of haze or fog. These hazy images affect the visibility in the field of computer vision applications, object recognition systems, intelligent transportation, traffic analysis etc. Multi-scale Gradient enhancement is the most popular method used as part of dehazing. But manipulating the image easily turns low dynamic range into high dynamic range images. As a result the restored image become dark or overexposure so that it degrades the quality of the image. As an aim to resolve this problem a better image enhancement as well as classification method is employed. The projected work takes benefit of SVD as this solo value allow us to characterize the picture with a minimal set of value that shrink storage space and progress the quality. For a superior quality and feature improvement a rate based alteration is completed with the help of gaussian filter. The eventual dehazed image is then classified using an improved KNN as part of geographical data analysis. Overall the platform research theme focuses on two key areas-Image processing and data mining.
PRESTASI BELAJAR SEBAGAI DAMPAK DARI MINAT BACA DAN BIMBINGAN BELAJAR SISWA IPS

This research aims to  determine how much the impact of interest in reading and tutoring on learning achievement by social science students in junior high school Jakarta 1. In this research, the authors distributed questionnaires to students of 9 grade subjects of social science in junior high school Jakarta 1. The survey method used in this research is random sampling and calculates the result of questionnaires that have been filled by students using the slovin formula, where there are a population of 124 students consisting of 68 men and 56 woman.from the total population, a sample of 95 students from junior high school Jakarta 1 were taken who attended the tutoring program. Keywords: interest in reading, tutoring, learning achievement
Compression Protocols for Tensor Network States

We design quantum compression algorithms for parametric families of tensor network states. We first establish an upper bound on the amount of memory needed to store an arbitrary state from a given state family. The bound is determined by the minimum cut of a suitable flow network, and is related to the flow of information from the manifold of parameters that specify the states to the physical systems in which the states are embodied. For given network topology and given edge dimensions, our upper bound is tight when all edge dimensions are powers of the same integer. When this condition is not met, the bound is optimal up to a multiplicative factor smaller than 1.585. We then provide a compression algorithm for general state families, and show that the algorithm runs in polynomial time for matrix product states.
Multi-Agent Based Diagnostic Model for Breast Tumour Classification

Breast cancer is one of the most hazardous of all types of cancer affecting mainly women.It is the second leading cause of death in Nigerian women.It is difficult to classify breast tumour.The diagnosis of breast cancer on patients in hospitals and clinics is highly subjective and it is reliant on the physician's expertise.This may often lead to incorrect diagnosis and long waiting time to diagnose breast tumour which may increase the possibility of Cancer metastasizing.This study focused on developing a multi-agent based model for diagnosis of breast tumours using the k-Nearest Neighbor (k-NN) algorithm by classifying the nature of the tumours based on their associated patterns of symptoms and other risk factors of Cancer diseases.A k-NN algorithm using Java and MYSQ was developed to extract and classify the symptoms associated with Breast Cancer.Java Agent Development Environment (JADE) was used for the modeling and simulation.The accuracy score was tested on a breast tumour clinical datasets which were gotten and formed from Federal Medical Centers (FMC) Yola and Gombe in Nigeria.The experimental result of the prediction model shows a percentage accuracy score of 98.9%.
GSM Based Wireless Electronic Notice Board

The main purpose of this project is to solve notice board difficulty means in that we are try to do remove the erase type work. Every time we can’t go to erase the board and make new notice on that that’s why we implement”GSM BASED WIRELESS ELECTRONICS NOTICE BOARD”
Cognitive Science Honors the Memory of Jeffrey Elman

Jeff Elman (1/22/1948–6/28/2018) was a major and much beloved figure in cognitive science, best known for his work on the TRACE model of speech perception, simple recurrent network models of the temporal dynamics of language processing, and his coauthored monograph, Rethinking Innateness. Beyond his individual and collaborative research, he is widely recognized for his lasting contributions to building our scientific community. Here we celebrate his contributions by briefly recounting his life’s work and sharing commentaries and reminiscences from a number of his closest colleagues over the years.
Tech Tools for Brainstorming & Keyword Formation [Slides]

Slides from a lightning talk given at the January 9, 2019 meeting of NC-LITe (North Carolina Library Instructional Technology).
Linear Cryptoanalysis of the Simplified AES Cipher Modified by Chaotic Sequences

This article introduces new symmetric key architectures based on a randomized version of the Simplified Advanced&nbsp;Encryption Standard (SAES). It is proposed a new technique to&nbsp;randomize the S-boxes of the original SAES employing chaotic&nbsp;sequences. Then, we study the linear criptanalysis of the proposed&nbsp;schemes. It is shown that, with the introduction of chaotic&nbsp;sequences, the adversary needs a larger number of pairs of plaintext and ciphertext to discover the bits of the key compared&nbsp;to the required by the SAES. Given these results, it is possible&nbsp;to evaluate the improvement of the proposed technique against&nbsp;linear cryptanalysis as compared to the original AES algorithm.
Import [Include/Exclude] Export: Using free systematic review tool Rayyan for database comparison study

Presentation to the Empirical Librarians 2019 Conference held on Thursday, March 7-8, 2019, at the James Branch Cabell Library at Virginia Commonwealth University in Richmond, Virginia.