Reviewerly/exHarmony huggingface dataset:
The Impact of Cloud Computing and Its Applications on Libraries and Information Centers

This study aims to know to what extent Iraqi Universities libraries made use of cloud computing services in providing its services on one hand, and what are the challenges that face it on the other hand. Also, the study aims to discover the technological skills of the librarians which enable them to use the cloud computing technique. The study sample consists of all librarians in university libraries, 80 female and male employees. The questionnaire was used for collecting information and analyzing information and SPSS package. The study concluded that librarians are aware of cloud computing technique and own technological skills enable them to use it. However, the decision of this technology application should be made by the higher administration. Thus, flexible plans and strategies must be made to help make changes and modifications to cope up with developments of new technologies in general and cloud computing in particular.
The Use of Story Bird Application in Teaching Narrative Text for Eight Grade Students of SMP Muhammadiyah 1 Kartasura

The aim of this study is using the Story Bird Application in teaching narrative texts by teachers and student responses in teaching narrative texts. This research includes the type of descriptive qualitative research type of study to investigate the problem. This research was conducted at SMP Muhammadiyah 1 Kartasura, especially in the eighth grade. The researcher used observation, interview, and documentation only as of the method of collecting data. The results of the research show that: 1.) The teaching technique used by English teachers are translation and write the new things. The media used by English teachers are, laptop, LCD projector, and Story Bird application. 2.) There are several problems faced by English teachers, there are the picture incompatible of the story and there is no video review at the end of the display of the Story Bird application. 3.) The solution was found by the English teacher to solve the problem by giving the recommendation to the Story Bird application, because there are some disadvantages found in this Story Bird application.
ENGLISH THEMATIC INTEGRATED LEARNING BOOK BASED ON LOCAL CONTENT FOR JUNIOR HIGH SCHOOL IN TRENGGALEK

The research design is educational Research and Development as one research design aimed at developing educational products, like curriculum, syllabus, textbooks, instructional media, etc. The sample of this research was seventh grade in Junior High School 3 Trenggalek 2019/2020 academic year that consists of 26 students from the G class and 24 students from the H class. The instruments used in this research are questionnaires and interviews. The data collected by questionnaires is analyzed quantitatively way, and data collected by interviews are analyzed qualitatively way. The result is Sig. (2-tailed) of 0.000 < 0.05, it can be concluded that H 0 is rejected and H a is accepted. Thus, it can be concluded that there is a significant difference between the average student learning outcomes in the experimental and control groups. The result of field testing was 1738 that means the respondent agrees that the product of this research was very good and flexible to use as media in learning vocabulary. So, My Menaksopal as the product of this research is an effective learning media for junior high school students. This product help student in learning English because it related to the student’s daily activity.
Persistency in Fracture Tendency of Subsurface Biogenic Siliceous Rocks

Characterizing fracture content of subsurface siliceous rocks susceptible to fracturing is a complex process. We have experimented with the use of the Hurst coefficient and have noted the autocorrelated nature of particular subterranean intervals that contain biogenic silica in various stages of diagenesis. We examined the nature of lithology signals from well logs and have ascertained the existence of long-range dependence and persistency. We based our analysis on gamma-ray and neutron logs vs. depth and examined the autocorrelation of the sequential appearance of highly cherty intervals. The Hurst coefficient is used as a measure of the autocorrelation of the log readings vs. depth as verified by Power Spectrum Density plots. Our analysis detects a persistency in the lithology data in the intervals significantly affected by the silica diagenesis.
한석원(韓錫源) 목사의 “責任의 自覺”(1922) 분석 및 현재적 함의 -내연(內燃)과 외연(外延)의 관점을 중심으로-

This study aims to analyze Rev. Seok-Won Han’s “Self-Awareness of Responsibility”(1922) and its present implications, focusing on the principle of internal combustion and external extension. This text is based on Galatians 6:5(“For each one shall bear his own load”). Han’s “Self- Awareness of Responsibility” was published in Jonggyogyeoi Jemyeongsa Gangyeonjip(the sermon collection of famous protestant pioneers) published at July 1922 during the Japanese colonial period. The important points and fundamental issues of Seok-Won Han’s “Self-Awareness of Responsibility” could be summarized as follows: First, I attempted to study Han’s discourse on self-awareness of responsibility as ‘the internal combustion’ such as high character, pious faith, excellent qualification, spirituality, continuous awareness, reading the Bible and prayer, correction of wrong habits, consistency of faith and action, and so on. Second, following his first argument, I dealt with Han’s discourse on self-awareness of responsibility as ‘the external extension’. Han believed that true altruism comes from biblical stewardship and self-sacrifice and he stressed that Christians should practice altruism in their homes, churches, societies, ethnic groups and states beyond themselves. In light of Rev. Seok-Won Han’s meaningful footprint and important achievements, I suggest future extensions of this study into his other various themes such as book mission, educational activities of Sunday School, youth movement, view of Christian ethics, publishing ministry and supply of Christian books, and other related areas.
Investigation of Business English Conversation Mastery by Indonesian Coffee and Cocoa Research Institute Employees in Jember

The concept of English for Business purposes has endured substantial shifts over the last few years which caused by numbers of development, such as behaviour change of the customers, improvements in technology, and the coming together of Businesss Communication and English for Business Purposes. Due to this current situation, companies need to improve not only the quality of their product but also the quality of the human resources This research is intended to investigate the extent of Business Conversation mastery by ICCRI employees in 2019 and examine further the factors that may be related to it, such as (1) the teaching process carried out by teachers, and (2) the employees' perceptions of the importance of Business. Speaking test and a questionnaire is used to answer problems of the research.
Exhaustive exact string matching

Exact string matching has been a fundamental problem in computer science for decades because of many practical applications. Some are related to common procedures, such as searching in files and text editors, or, more recently, to more advanced problems such as pattern detection in Artificial Intelligence and Bioinformatics. Tens of algorithms and methodologies have been developed for pattern matching and several programming languages, packages, applications and online systems exist that can perform exact string matching in biological sequences. These techniques, however, are limited to searching for specific and predefined strings in a sequence. In this paper a novel methodology (called Ex2SM) is presented, which is a pipeline of execution of advanced data structures and algorithms, explicitly designed for text mining, that can detect every possible repeated string in multivariate biological sequences. In contrast to known algorithms in literature, the methodology presented here is string agnostic, i.e., it does not require an input string to search for it, rather it can detect every string that exists at least twice, regardless of its attributes such as length, frequency, alphabet, overlapping etc. The complexity of the problem solved and the potential of the proposed methodology is demonstrated with the experimental analysis performed on the entire human genome. More specifically, all repeated strings with a length of up to 50 characters have been detected, an achievement which is practically impossible using other algorithms due to the exponential number of possible arrangements $\Sigma_{n=1}^{50}4^{n}$ of such long strings.
Resource Allocation Based on Improved Krill Herd Algorithm in Cloud Computing

ABSTRACTResource allocation acts an important role in cloud computing. Traditional resource allocation methods have time-consuming, expensive and low efficiency disadvantages. Therefore, we propose an improved krill herd algorithm for resource allocation in cloud computing. Firstly, the status of cloud computing resource allocation is analyzed. Then, in order to prevent krill herd falling into local solution, we introduce random perturbation factor to improve the induction movement and foraging movement of krill herd. Finally, the experiments results show that the proposed method can effectively improve the system resource utilization, the allocation performance is better than other cloud computing resource allocation methods.
DSNDM: Deep Siamese Neural Discourse Model with Attention for Text Pairs Categorization and Ranking

In this paper, the utility and advantages of the discourse analysis for text pairs categorization and ranking are investigated.We consider two tasks in which discourse structure seems useful and important: automatic verification of political statements, and ranking in question answering systems.We propose a neural network based approach to learn the match between pairs of discourse tree structures.To this end, the neural TreeLSTM model is modified to effectively encode discourse trees and DSNDM model based on it is suggested to analyze pairs of texts.In addition, the integration of the attention mechanism in the model is proposed.Moreover, different ranking approaches are investigated for the second task.In the paper, the comparison with state-of-the-art methods is given.Experiments illustrate that combination of neural networks and discourse structure in DSNDM is effective since it reaches top results in the assigned tasks.The evaluation also demonstrates that discourse analysis improves quality for the processing of longer texts.
16 Mobile-friendly Free Blogger Templates 2020 [Get Images]

Whenever an individual starts Blogging, he mostly gets a recommendation to start the blog on blogger (aka Blogspot platform). Google runs it. It is ...
Realistic Face Image Generation System Based on GANs

The purpose of this paper is to study the help of generative adversarial networks (GAN) for face generation, and to explore whether the network can have an effect on complex face generation. Training an image translation neural network model based on a generative adversarial network with the help of a large number of real human face data sets. Using the CV2-based face tagging algorithm and the HED-based face edge extraction algorithm to obtain input information, and then based on the translation neural network model Developing a face generation system through Tensorflow, Torch and other frameworks to realize the function of generating real faces through sketches or “changing faces” through existing faces. Finally, this model provides training configuration and training information.
Interrogating the multilateral trading system and paradigms of corporate social responsibility: Implications for Nigeria

Corporate social responsibility (CSR) norms are a strategic business policy that now forms the cornerstone of how international trade is governed globally. Although initially a voluntary initiative, its relevance in promoting social, environmental, and ethical responsibilities among global investors has arguably been conceived as trade distorting and violating the tenets of the World Trade Organization (WTO). Nonetheless, CSR is now mainstream in all related global transactions. This article seeks to evaluate the impacts of global CSR on international trade and examine the extent of Nigeria’s participation in global CSR. The article argues that Nigeria should go beyond considerations of trade that focuses mainly on liberal market access and expand the practice to include environmental, social, and ethical practices. It concludes that adherence to international CSR will propel developing countries to meet the UN Sustainable Development Goals.&#x0D; Keywords: Corporate Social Responsibility, World Trade Organization, Sustainable Development.
The Role of Hard TQM on the Relationship between Soft TQM and FinancialPerformance of Hotels and Travel Agents in Egypt

In the last 60 years, Total Quality Management (TQM) has been under review (theoretically) and under examination (empirically) from several scholars all over the world.Although TQM practices in the manufacturing industry are well studied, fewer attempts have been conducted to examine its connotations and effects in the service industry, and particularly in the tourism sector.Two main categories of TQM practices were explored: Soft TQM (STQM) activities/practices and Hard TQM (HTQM) activities/practices.It is arguable that both TQM practices enhance financial performance, but these relationships have not been completely tested in the tourism sector.The main aim of this paper is to assess the impact of STQM on financial performance through the mediating role of HTQM practices.The data were collected from surveying 380 general managers working in hotels and travel agents in Egypt.A total of 285 valid questionnaires were attained with a response rate reached 75%.Structural equation modelling (SEM) results indicate that STQM improves financial performance, and HTQM has a direct influence on financial performance.The results show that 14 out of 15 proposed hypotheses were supported.Therefore, it is important that hotels and travel agents allocate their resources to implement both STQM and HTQM practices to exploit the effectiveness and efficiency of the entire TQM system.Finally, general conclusions and limitations are outlined.
Sharing without Showing: Building Secure Collaborative Systems

Author(s): Zheng, Wenting | Advisor(s): Popa, Raluca Ada; Stoica, Ion | Abstract: The recent revolution in advanced data analytics gave rise to a growing demand among organizations for high quality data. However, in many domains such as finance and medicine, organizations have encountered obstacles in data acquisition because their target applications need sensitive data that reside across multiple parties. One promising solution to this data scarcity problem is collaborative computation, where several organizations pool together their data and compute on the joint dataset. This type of computation enables parties to acquire a larger volume of data, as well as more diverse data. Unfortunately, organizations are often unwilling or unable to share their data in plaintext due to business competition or government regulation.My dissertation focuses on solving this problem by enabling organizations to run complex computations on the joint dataset without revealing their sensitive input to the other parties. This dissertation presents four systems that utilize hardware enclaves as well as advanced cryptographic techniques for secure computation on workloads that range from SQL analytics to machine learning. By utilizing a wide range of tools from both systems and cryptography and also innovating on them, my systems provide strong and provable security guarantees and are often orders of magnitude faster compared to prior work or the more straightforward ways of integrating cryptography into systems.
Data Reduction for Noisy Data Classification Using Semi-supervised Manifold-Preserving Graph Reduction

This paper investigates the issue of data reduction for noisy data classification in semi-supervised learning. A novel semi-supervised manifold-preserving graph reduction (Semi-MPGR) is proposed for data reduction in the framework of semi-supervised learning. In Semi-MPGR, the adjacent graph consists of three sub-graphs that are constructed by labeled samples, unlabeled ones, and both. In doing so, the role of label information is strengthened. On the basis of the defined graph, Semi-MPGR selects data points according to their connection strength. The retained data could maintain the manifold structure of data and be efficiently handled by semi-supervised classifiers. Experimental results on several real-world data sets indicate the feasibility and validity of Semi-MPGR.
SISTEM INFORMASI DATA VAKSIN DAN PAKAN AYAM PADA PT. TELUR SUKSES SEJAHTERA SEBAPO II MENGGUNAKAN SCAN BARCODE

Chicken Vaccine and Feed Data Information System is a system that provides information services in the form of Chicken Vaccine and Feed Data information systems to the public. The existence of this information system is important. In this case, PT. Telur Sukses Sejahtera Sebapo II is used as a research site, because the Chicken Vaccine and Feed Data information system in that place has not been managed properly so that errors often occur in making reports, such as processing data calculation of the amount of feed stock and processing of vaccine stock data. This research is to minimize errors in the Chicken Feed and Vaccine Data report. The research method used Research and Development (R&D) method. The analytical tool used Data Flow Diagrams (DFD). The software used : Microsoft Visual Basic 6.0, Microsoft Access, and Crystal Report 8.5. This information system was built to provide convenience in processing feed and vaccine data as well as processing feed and vaccine data reports to make it more precise and accurate.
A method of assessing rework for implementing software requirements changes

Software development is often affected by user/system requirements changes. To implement requirements changes, a system which is being developed needs to be reworked. However, the term ?Rework? has not been clearly defined in the literature. Depending on the complexity of the changes, the amount of rework required varies from some software module modifications to a non-trivial alteration to the software design of a system. The effort associated with such a rework obviously will vary too. To date, there has been scant research on rework assessment, and the relationship between it and change effort estimation is hardly understood. In this paper, we present a definition for rework, and describe a method of assessing rework for implementing software requirements changes. Our method consists of three stages: namely (i) change identification; (ii) change analysis; and (iii) rework assessment. To demonstrate the practicality that it enables developers to compare the rework between the different options available for implementing a requirements change and to identify the one which is less invasive and requires lesser amount of modifications to the software system design, we explain our concept with the use of a running example.
Author Correction: Prior Experience Alters the Appearance of Blurry Object Borders

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Grasshopper Optimisation Algorithm (GOA)

Grasshopper Optimization algorithm (GOA) is one of the newly introduced algorithms. The swarming ability of the grasshopper makes them unique herbivorous insects. A detailed description and step by step mathematical model of the GOA is presented in this study. GOA model for solving a real-life problem is revealed and numerical example are used to illustrate the approach. The model was implemented in MATLAB using 100 search agents (n = 100) and the maximum number of iterations was set to 1000. The best solution obtained by GOA is [101] and the best optimal value of the objective function found by GOA is 0.2361. The parameter space, the test history, the trajectory of the first grasshopper, and the convergence test are also presented in this study.
≪훈몽자회(訓蒙字會)≫ 우성조자(又聲調字)의 난제 연구

This paper is about the 16 Chinese multi-tone characters, whose meanings or functions were not presented in Hunmongjahoe 訓蒙字會. It can be divided into two main parts as follows: searching for how the 16 meaningless or functionless multi-tones were presented in Cheonjamun 千字文and sinjeungyouhap 新增類合, the Chosun elementary textbooks, and Dongkukjeongwoon 東國正韻, the Chosun rhyme book, and looking up the sounds, meanings and functions of the 16 relevant characters in Chinese rhyme books such as Guangyun 廣韻, Jiyun 集韻, and Zhongyuanyinyun 中原音韻. As a result, many of the meaningless multi-tones in Hunmongjahoe were not presented as a multi-tone in Cheonjamun and sinjeungyouhap, while they were multi-tone characters in Dongkukjeongwoon. Considering the tones in Dongkukjeongwoon were affected by Chinese tones, it is necessary to looking up those 16 characters in the representative Chinese rhyme books. According to the findings, it seems that the 16 meaningless multi-tones in Hunmongjahoe are closely related to Chinese sounds, since most of them were presented as multi-tones in Guangyun, Jiyun, and Zhongyuanyinyun. In addition, their tonal categories were also overlapped with one of the Chinese multi-tones in many cases. Sejin Choi, the author of Hunmongjahoe was familiar with historical Chinese sounds, and thus it is plausible that he put original Chinese tones in Hunmongjahoe.
SafeDNN: understanding and verifying neural networks (keynote)

The SafeDNN project at NASA Ames explores new techniques and tools to ensure that systems that use Deep Neural Networks (DNN) are safe, robust and interpretable. Research directions we are pursuing in this project include: symbolic execution for DNN analysis, label-guided clustering to automatically identify input regions that are robust, parallel and compositional approaches to improve formal SMT-based verification, property inference and automated program repair for DNNs, adversarial training and detection, probabilistic reasoning for DNNs. In this talk I will highlight some of the research advances from SafeDNN.
Multi-sized Multiple Text File Encryption System using One-dimensional Chaotic Map

This paper proposes a text encryption system to encrypt multiple text files of arbitrary sizes. The proposed work uses one-dimensional piece-wise linear chaotic map (PWLCM) to perform multi-sized multiple text file encryption. In the method, a group of text files is partitioned into number of sections, each one with 4-text elements. The text elements in each of the sections are then arranged into $$2 \times 2$$ dimensional text blocks. All the $$2 \times 2$$ blocks and the remaining text elements (if any) are arranged in a separate array. Finally, the array of blocks and remaining text elements are permuted and diffused using two different PWLCM systems. The SHA-256 hash function is used to generate the keys to prevent the proposed cryptosystem against chosen-plaintext and known-plaintext attacks. The computer simulation reveals the good encryption results of the multi-sized multiple text file encryption system. The security analysis confirms the stronger resistivity of the proposed algorithm against the most widely used security attacks.