Reviewerly/exHarmony huggingface dataset:
A novel approach in Steganography combining random key and substitution cipher

The technique of secure transmission of confidential information over a network by hiding the message inside multimedia is termed steganography. Contrary to cryptography where the data is encrypted using a key using various methods and algorithms and then transmitted over the channel, in steganography, the message is concealed such that there is no trace of information being transmitted. The combined use of cryptography and steganography, increase the level of security of the data being transmitted. They act as the viable method to transmit information over non-secure channels. After concealing the secret message in the carrier multimedia, it is then analyzed using various metrics such as MSE and PSNR to determine the quality of the steganographic image.
Fuzzy Extension of Coupled Γ-semiring: Some Properties

The concept of coupled Γ-semiring first appeared in [1]. In the present paper assuming M is a Γ-semiring, we introduce concepts of anti-fuzzy prime ideal, anti-fuzzy semi prime ideal, and anti-fuzzy ideal extension, respectively, of Some properties associated with these new concepts are obtained. The work in this paper takes inspiration from [2].
THE IMPACT OF WHATSAPP GROUP ON UNDERGRADUATE STUDENTS‟ WRITING IN THE INDONESIAN TERTIARY CONTEXT

The popularity of WhatsApp Group in the academic major has raised the interest of researchers and practitioners in exploring its potential benefit in teaching EFL aspects. This present paper attempts to investigate whether the use of WhatsApp Group as a learning media might enhance undergraduate students‘ writing ability. It also explores the problems affecting the use of WhatsApp Group in writing class.There were fifty-eight undergraduate students who participated in this study. They enrolled in the writing course and were in the third semester in the academic years of 2018/2019.The subjects were randomly assigned into two groups, experimental group and control group. The research data were collected using pretest-posttest design and interview. The results of t-test scoresindicated that WhatsApp Group significantly outperformed the students‘ writing performance. Furthermore, there were technical, education, and instruction problems dealing with the use of WhatsApp Group to improve the students‘ readiness to participate in writing activities. Thus, WhatsApp Group is considered as a potential alternative of an instructional media for educational purposes to bring beneficial to students‘ knowledge of language and to help the students to work independently andcooperate with the others. Keywords: educational purposes, students‘ wrtiting, WhatsApp Group
Materialities in innovative education

The educational debate about digital uses in school-making changes revolves around the so-called material approaches. These approaches put materials in the foreground by moving research focus towards both educational practice and the multiple relationships occurring between subjects and objects of educational culture (paper documents, diaries, desks, chairs, workspaces, furniture, etc.) within teaching contexts. This work aims to explore the way digitally mediated materialities may support teaching practice in specific environments, such as small schools, whose educational context faces high risk of students drop-out and problems of weakness and inequality. Our analysis focuses on the digital learning materials adopted by a number of Italian small schools participating in Programma Operativo Nazionale (PON) per la Scuola – Competenze ed ambienti per l’apprendimento 2014–2020 (National Operational Programme for School – Skills and learning environments), to contrast drop-out. After a general analysis, the work will propose an insight into the above-mentioned small schools, with particular attention to those adhering to the Movimento delle Piccole Scuole (Small Schools Movement) and actively involved in the PON. This will help us understand how, in a particular educational context, digitally supported didactic materiality can be embedded in educational processes for achieving specific results.
Author Correction: Evidence for subcritical rupture of injection-induced earthquakes

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
EFFICIENCY OF ANTIMONOPOLY SERVICE IN THE EXERCISE OF PROCUREMENT CONTROL 

In the article there was carried out the assessment of Federal Antimonopoly Service of Russian Federation (FAS Russia) activities based on approaches to efficiency evaluation of federal executive bodies according to process management criteria and indicators of results.The subject of the assessment is activity of FAS Russia and its territorial units in control in public and municipal procurement.Based on the report data of FAS Russia in 2016-2018 we have developed the set of criteria that was used for efficiency assessment.The results allow to expand analytical possibilities of efficiency assessment of the activity of FAS Russia for the purposes of program-target management.The assessment that was carried out with considering of proposed criteria is the optimal and sufficient source of primary data for assessing the effectiveness in future.The value of results is confirmed by the development of methodological base for assessing of the federal executive bodies efficiency.
U-EPS: An Ultra-small and Efficient Post-quantum Signature Scheme

Lamport and Winternitz signature schemes are well known one-time quantum resistant digital signature schemes. Along this line, several new one-time signature schemes are proposed. However, their private key and signature sizes are of $$\mathcal {O}(n^2)$$ for $$k<n$$-bit security. Considering the applications in Internet of Things (IoT) and blockchains, $$\mathcal {O}(n^2)$$ size is notably high. In this paper, we introduce a new one-time post-quantum signature scheme called U-EPS which achieve $$k=112$$-bit security with private key size 2n and signature sizes 3n bits (for $$n = 256$$), respectively. Our scheme only requires two calls of hash function and a single call of encryption/decryption algorithm for signature generation and verification procedures. We provide a concrete instantiation and implementation of U-EPS using SPIX-256 which is a NIST Lightweight Cryptographic Project Round 2 candidate. Finally, we give the comparison results with existing schemes.
A Prediction Method Of Rice Harvesting Using Artificial Neural Network

Crops rice is a thing he could never expected for sure, but could have predicted data in of existing. The availability of data about the outcome of rice harvesting is very substantial for use as yardstick in estimate and predicts crops rice as a gesture to fix the next planting. Artificial neural network method backpropagation often used to settle trouble complex relating to identification, predictions, pattern recognition and so on. In this study, backpropagation processing the data affecting rice crops from 2014 until 2016 to predict crop Pengkok, Kedawung, Sragen the future. After through process of training and testing and experiment some pattern architecture network, in the network get architecture best in a prediction.
Raising Technical Students’ Motivation for Studying English by Means of the English Language Week

The article examines the means to raise future engineers’ motivation for studying English by means of the language week. The author emphasizes the necessity for theoretical and practical justification of the English language week as a form of higher school students’ extra-curriculum activity important from the viewpoint of motivation. Relying on systemic and activity-based approaches, the author proposes the techniques to raise a technical student’s motivation for studying English by means of the language week event, in which coordination, technological and reflexive components are identified. Experimental implementation of the proposed methodology is described; the experiment results justify the efficiency of the suggested techniques.
History matching with probabilistic emulators and active learning

The scientific understanding of real-world processes has dramatically improved over the years through computer simulations. Such simulators represent complex mathematical models that are implemented as computer codes which are often expensive. The validity of using a particular simulator to draw accurate conclusions relies on the assumption that the computer code is correctly calibrated. This calibration procedure is often pursued under extensive experimentation and comparison with data from a real-world process. The problem is that the data collection may be so expensive that only a handful of experiments are feasible. History matching is a calibration technique that, given a simulator, it iteratively discards regions of the input space using an implausibility measure. When the simulator is computationally expensive, an emulator is used to explore the input space. In this paper, a Gaussian process provides a complete probabilistic output that is incorporated into the implausibility measure. The identification of regions of interest is accomplished with recently developed annealing sampling techniques. Active learning functions are incorporated into the history matching procedure to refocus on the input space and improve the emulator. The efficiency of the proposed framework is tested in well-known examples from the history matching literature, as well as in a proposed testbed of functions of higher dimensions.
An Enhanced Machine Larning based Threat Hunter An Intelligent Network Intrusion Detection System

In network security, there are many applications and techniques that can be used to maintain targets of high-level security such as confidentiality, integrity, availability, and nonrepudiation for safe communication between different sources. This can be done by supporting networks with security systems to thwart any chances of exploitations by any attacker. Intrusion Detection System (IDS) is one of the major systems as it is capable of monitoring all network traffics (ingoing and outgoing) and performs some analysis and inspection to evaluate the behavior of such traffics. IDS can block all suspicious activities that are trying to breach any network based on policies that are demanded by a system administrator. Traditional IDS has some limits and does not provide a complete solution for some kind of problems. IDS searches for potential abnormal activities on the network traffic and sometimes succeeds to find some vulnerability which may result in compromising the network. We, therefore, suggest an efficient application in this paper of Machine Learning (ML) based IDS.
LibGuides: Website Research: Home

Content adapted from the guide Website Research by Rebecca Hill Renirie, Central Michigan University Libraries, retrieved from https://libguides.cmich.edu/web_research
A Large Dataset of Historical Japanese Documents with Complex Layouts

Deep learning-based approaches for automatic document layout analysis and content extraction have the potential to unlock rich information trapped in historical documents on a large scale. One major hurdle is the lack of large datasets for training robust models. In particular, little training data exist for Asian languages. To this end, we present HJDataset, a Large Dataset of Historical Japanese Documents with Complex Layouts. It contains over 250,000 layout element annotations of seven types. In addition to bounding boxes and masks of the content regions, it also includes the hierarchical structures and reading orders for layout elements. The dataset is constructed using a combination of human and machine efforts. A semi-rule based method is developed to extract the layout elements, and the results are checked by human inspectors. The resulting large-scale dataset is used to provide baseline performance analyses for text region detection using state-of-the-art deep learning models. And we demonstrate the usefulness of the dataset on real-world document digitization tasks. The dataset is available at https://dell-research-harvard.github.io/HJDataset/.
Protective measurement of a qubit by a qubit probe

We study the protective measurement of a qubit by a second qubit acting as a probe. Consideration of this model is motivated by the possibility of its experimental implementation in multiqubit systems such as trapped ions. In our scheme, information about the expectation value of an arbitrary observable of the system qubit is encoded in the rotation of the state of the probe qubit. We describe the structure of the Hamiltonian that gives rise to this measurement and analyze the resulting dynamics under a variety of realistic conditions, such as noninfinitesimal measurement strengths, repeated measurements, non-negligible intrinsic dynamics of the probe, and interactions of the system and probe qubits with an environment. We propose an experimental realization of our model in an ion trap. The experiment may be performed with existing technology and makes use of established experimental methods for the engineering and control of Hamiltonians for quantum gates and quantum simulations of spin systems.
LibGuides: 1930s America: Resources

This is a test LibGuide, only a test.Perhaps resources for a U.S. history course assignment.
LibGuides: True Crime Resources: Home

This is a guide to some of my favorite true crime resources. It will provide a variety of media to help you get your true crime fix!
Library Home / LibGuides: eBooks: ProQuest Ebook Central

Get you hands on some eBooks! Gwinnett Tech Library - Your Partner in Education Ebooks on the Go
A Meta Algorithm for Reinforcement Learning: Emergency Medical Service Resource Prioritization Problem in an MCI as an Example

We present a finite-horizon Markov Decision Process (MDP) model for a patient prioritization and hospital selection problem, which is a critical decision-making problem in emergency medical service operation. Solving this model requires reinforcement learning (RL) due to its large state space. We propose a novel approach with an aim to significantly enhance the scalability of RL algorithms. Our approach, which we call a State Partitioning and Action Network, SPartAN in short, is a meta-algorithm that offers a framework an RL algorithm can be incorporated into. In this approach, we partition the state space into smaller subspaces to construct a reliable action network in the downstream subspace. This action network is then used in a simulation to approximate values of the upstream subspace. Using temporal difference (TD) learning as an example RL algorithm, we show that SPartAN is able to reliably derive a high-quality policy solution, thereby opening opportunities to solve many practical MDP models in healthcare system problems.
CRITERIA FOR ACCEPTING SOFTWARE REQUIREMENTS NEGOTIATION TOOLS IN THE SOFTWARE INDUSTRY

Requirements negotiation is a centralized process of making a decision in order to resolve conflicts in the requirements of the stakeholder. The negotiation will enable the shared vision of software to be developed among the heterogeneous stakeholder in the software industry to be achieved. Many process models used for the negotiation of stakeholder’s requirements have been proposed for the software industry by the research community, yet the acceptance of these process models is discouraging. This study tends to investigate the inadequate adoption of requirements negotiation process models. Further, it finds the acceptance criteria for the software industry to adopt requirements negotiation models. Finding shows that the software industries do not adopt the process models. The perceived usefulness, perceived ease of use and many more criteria have been identified through the literature review on the general criteria of software systems acceptance.
A PROPOSAL FOR A STRUCTURAL EQUATION MODEL TO EXPLAIN ACADEMIC PERFORMANCE IN E-LEARNING

Purpose: Present the advances of a research project whose main goal is the construction and empirical validation of a structural equations model to explain the students’ academic performance in Administration distance degree careers of the Universidad de la Defensa Nacional (Argentina).&#x0D; Methodology/Approach: Were selected and adapted indicators for each latent variable identified at the theorical model. For selection in some cases we resort to measurable variables in objective units and in other cases to subjective variables measurement scales validated by previous research. For adaptation, we consider the population characteristics under study and the distance education model particularly applied in the University.&#x0D; Findings: A measurement model formulation was obtained which, linked to the causal model proposed as a result of bibliographic background integration, allowed us to reach a complete structural equations model specification with six latent variables, five endogenous and one exogenous.&#x0D; Research Limitation/implication: Consider that the observed variables selected are the ones that best combine to identify the hypothesized constructs.&#x0D; Originality/Value of paper: Learning in virtual environments is the main endogenous latent variable of the model, explained by previous knowledge, motivation, digital skills, self-regulation and interaction processes.
Stochastic Modeling of Nonlinear Random Vibrations Using Heavy-tailed Mixture Distribution

In this study, we propose a simple probability density function (PDF) model of Gaussian-Laplacian mixture (GLM) type, which provides a concise parameterization of heavy-tailed data. We construct our model as convex combination of Gaussian and Laplacian PDFs to obtain a minimal parameterization of heavy-tailed data. We then conduct least-squares fitting of our model to a heavy-tailed data generated by a random Duffing oscillator and obtain over 94% of residual sum of squares (RSS) fitness. The resulting model is applied to predicting transient moment responses and achieves over 90% of RSS fitness to Monte–Carlo simulation results of the original system.
The Effect of YouTube on High School Students' Second Language Acquisition.

The research investigates the effect of watching Youtube videos on students’ second language acquisition based on Krashen (2002). To achieve this aim, this research employs descriptive qualitative method. The data was taken from Junior High School Students in East Barito regency. In collecting data, the researchers used observational method. Student`s utterances were observed after watching Youtube`s videos. The result of the analysis shows that Youtube`s video blogging has effect upon students in SLA. The students get new English vocabulary from various genres of videos. They also improve their English sentence structure found on the video to sentence structure with other words. Video blogging is part of informal environment English as second language acquisition given the benefit in this research so that the student can learn English from different objects, apart from school.
Competence-based Education and Training Model for Management Team of School Operational Assistance

This study aims to develop a competence-based training model for management team of school operational assistance (BOS) in order to improve financial accountability in Primary Education level in Purwakarta Regency, Indonesia.This research used ADDIE (Analysis-Design-Develop-Implement-Evaluate) research and development model approach.Results of the research show that in stage of training needs assessment, there are some needs of training participants in the forms of ability in understanding the BOS Technical Guidance, ability in implementing BOS Planning, ability in implementing BOS management, ability in reporting BOS funds and ability in using BOS funds reporting application which all of the abilities can be created through development of this competence-based training model.Results of the training needs assessment are then developed into a training design and tested in a limited manner before it is implemented.Implementation of competence-based education and training model show effectiveness of learning outcome achievement which is supported by systematic and correlation between components.Application of competence-based education and training model for management team of BOS funds in Purwakarta Regency is conducted effectively after monitoring and evaluation process on the implementation of training model development.Therefore, the development of training model provide positive effects on improvement of BOS funds manager team competence as it has been inventoried in the needs assessment.
A Summary of Research on the Reform of the Training Mode of Engineering Cost Professionals in Applied Undergraduate Universities

The engineering cost specialty mainly trains students' control over project cost and the budgetary budget calculation ability of the project.
LibGuides: University Libraries Undergraduate Research Award: Home

Information about the University Libraries undergraduate research award Apply for the research award
Upaya Meningkatkan Ketrampilan Writing Skill pada Teks Interaksi Interpersonal dengan Menerapkan Teknik Pembelajaran Total Physical Response (Pada Siswa Kelas VII A SMP Negeri 8 Muaro Jambi)

The purpose of this study is to find out and improve writing skills in interpersonal interaction texts. his study uses two learning methods, namely the conventional method in the initial pre-cycle conditions and the Total Physical Response learning technique. The learning process is divided into three stages are the first stage is pre-cycle using conventional methods, the second stage of cycle 1 with the Total Physical Response method and the third stage of cycle 2 also uses the Total Physical Response method. The results showed that in the pre-cycle researchers were still using conventional methods in learning, only 11 students completed the study in the pre-cycle or 42% of students had finished learning. Then in cycle 1 the researcher conducted an improvement in learning by applying the Total Physical Response Learning Technique. The result is that in cycle 1 the number of students who have completed learning has increased to 20 students or 77% of students who have completed learning. In cycle 2 there was an increase in the number of students completing learning to 24 students or 92% of students being able to complete learning. So that it can be concluded in a period of approximately 2 weeks, with the concept of 4X meetings. The application of Total Physical Response Learning Techniques has a positive impact on the process of improving students' writing skills in Interpersonal Interaction Texts in Class VII A, SMP Negeri 8 Muaro Jambi.
PELATIHAN PENGELOLAAN MAJALAH DINDING SISWA MA DARUSSALAM BARITO KUALA

This training activity aims to train students to manage wall magazines properly. Aside from being a forum to foster student creativity so that they can pour their work both in the field of literature and those related to writing. The method used in this service is counseling through several stages, namely (1) delivery of material (2) Formation of editorial teams and (3) making bulletin boards. With this training students finally know how to manage wall magazines and various stages from the beginning to the end of publishing. Students also finally get a lot of knowledge that they did not know about the management or management of wall magazines at school.
BU Library: BU Canvas Support & Resources: Contact Us

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