Reviewerly/exHarmony huggingface dataset:
USE OF MODULE IN LEARNING GUIDELINESTO IMPROVE STUDENT LEARNING OUTCOMES

This study aims to determine the improvement of students' learning outcomes in the third grade of elementary school in the use of modules on tutoring in SDN IV Tanggung in Tulungagung District. The study design uses a classroom action research consisting of two cycles. Each silklus consists of 4 stages, namely the stage of planning, implementation, observation, and reflection. The subjects of this study are class III students who numbered 42 students in SDN IV Tanggung. Data on the use of Module taken from the observation and interview. The data have been analyzed using qualitative descriptive analysis. The results of this study using module ni indicate that can improve student learning outcomes. Before using student learning result module shows percentage 50% in cycles I and At Cycle II reach 71,69%%. Based on the observations during the implementation of the action on the cycle I and cycle II found the results showed an increase in some aspects specified in this study.
Image Recognition Based on Combined Filters with Pseudoinverse Learning Algorithm

Deep convolution neural network (CNN) is one of the most popular Deep neural networks (DNN). It has won state-of-the-art performance in many computer vision tasks. The most used method to train DNN is Gradient descent-based algorithm such as Backpropagation. However, backpropagation algorithm usually has the problem of gradient vanishing or gradient explosion, and it relies on repeated iteration to get the optimal result. Moreover, with the need to learn many convolutional kernels, the traditional convolutional layer is the main computational bottleneck of deep CNNs. Consequently, the current deep CNN is inefficient on computing resource and computing time. To solve these problems, we proposed a method which combines Gabor kernel, random kernel and pseudoinverse kernel, incorporating with pseudoinverse learning (PIL) algorithm to speed up DNN training processing. With the multiple fixed convolution kernels and pseudoinverse learning algorithm, it is simple and efficient to use the proposed method. The performance of the proposed model is tested on MNIST and CIFAR-10 datasets without using GPU. Experimental results show that our model is better than existing benchmark methods in speed, at the same time it has the comparative recognition accuracy.
STRATEGI MANAJEMEN KAS (CASH MANAGEMENT) DALAM RANGKA OPTIMALISASI DANA PADA YAYASAN INSAN MADANI SEJAHTERA (YIMS) TAHUN 2004-2009

cash management strategy (cash management) in order to optimize the foundation fund civil insan prosper (yims) year 2004-2009. Cash management strategy (cash management) in order to optimize the funds on Madani Insan Sejahtera Foundation (Yims) include: revenue from the year 2004 amounting to Rp. 18,250,500.00 until 2009 to Rp. 559,454,000.00 or 300 times increase. Similarly, expenditure in the form of compensation, public health services, skills training, caring teachers and preachers, the economic empowerment of the ummah, qurban from 2004 amounting to Rp. 17,787,500.00 until 2009 to Rp. 559 005 100 is almost 300%. The channeling of funds up to 98% - 102% from 2004 to 2009. The remaining funds are used for operational reserves the foundation. The Foundation expects an increase in revenue from activities that are funded in accordance mission of the foundation is: (1) to provide services to the community through empowerment programs that integrate educational programs, health, economy and skills. (2) Being a liaison between the haves with the community through the distribution of funds can not afford the social, charity, infaq, shodaqoh and humanitarian funds. (3) Establish partnerships with both private institutions, government or other social institutions in reducing social problems in the community. Keywords : cash management
Flow cytometry inmunophenotyping can identify and characterize solid tumour cells in clinical samples: A preliminary study

This study examines how agro-financing impacts on food production in Nigeria supporting Goal 2 of the 2030 Sustainable Development Goals (SDGs) which aims to “end hunger, achieve food security, improve nutrition, and promote sustainable agriculture”. The study covers the period 1981–2018 using annual data sourced from the World Development Indicators (WDI) of the World Bank, Central Bank of Nigeria (CBN) Statistical Bulletin. The Johansen and the Canonical Cointegration approaches are employed and findings reveal that agro-financing is statistically significant in explaining the level of food production in Nigeria.The result implies that a 1% increase in farmers' access to agricultural finance is associated with an increase in food production by 0.002%–0.006% depending on the model specification. This result aligns with the ‘a priori’ expectations as it is expected that more agro-funding at low-interest rates motivates farmers to secure high-yield seedlings, machinery and other farm implements, organic inputs that positively impact on total agricultural yield, leading to more food production. Therefore, the study recommends that more funding be allocated to the agrarian sector with less stringent credit conditions, and more arable land be allotted for farming purposes amongst others.
How to Choose a Domain Name For A Blog (3 Easy Steps)

I know, I know, buying a domain name is a pretty exciting thing to do, I absolutely love it. When you are new however, all of the different options can become confusing. With that in mind, I wrote this article to teach you how to buy a domain name for a website with no mistakes or regrets.
A Runtime Customizable Access Control Model and Its Use in a Garment Design Cooperation System

At present, many custom software systems generally adopt role-based access control. In such systems, a specific user may be authorized to one or several roles, and each role and its permissions are pre-defined at the beginning of the system design. It is difficult for managers to dynamically define new roles for users with personalized permissions during system runtime after system delivery. This paper proposes a runtime customizable access control model for the custombuilt cooperation software system which has many access objects and fewer users, each user has different access requirements, and each user’s requirements are uncertainty and can only be confirmed after a cooperation project has been launched. To verify the validity of the model, a garment design cooperation system with this access control model was implemented as a case study. Experiments show that with the use of this model, managers can dynamically create personalized roles and authorize them to different project members when a new cooperation project is launching. The model and the case can help researchers and developers to design and develop their own runtime customizable access control model and custom-built cooperation software system.
Maximum Number of Steps Taken by Modular Exponentiation and Euclidean Algorithm

Summary In this article we formalize in Mizar [1], [2] the maximum number of steps taken by some number theoretical algorithms, “right–to–left binary algorithm” for modular exponentiation and “Euclidean algorithm” [5]. For any natural numbers a , b , n , “right–to–left binary algorithm” can calculate the natural number, see (Def. 2), Algo BPow ( a, n, m ) := a b mod n and for any integers a , b , “Euclidean algorithm” can calculate the non negative integer gcd( a, b ). We have not formalized computational complexity of algorithms yet, though we had already formalize the “Euclidean algorithm” in [7]. For “right-to-left binary algorithm”, we formalize the theorem, which says that the required number of the modular squares and modular products in this algorithms are ⌊1+log 2 n ⌋ and for “Euclidean algorithm”, we formalize the Lamé’s theorem [6], which says the required number of the divisions in this algorithm is at most 5 log 10 min( |a|, |b| ). Our aim is to support the implementation of number theoretic tools and evaluating computational complexities of algorithms to prove the security of cryptographic systems.
A Design of Economic Mechanism for Business Development Based on Blockchain

The innovative creation of cryptocurrency and Blockchain technology brings possibility for operating business in a decentralized community with reduced friction. But current business development on the blockchain platform is dragged by slow progress in technique, ill-designed economic mechanism, and difficult fund-raising procedure. Based on the analysis about major defects of Bitcoin's economic mechanism and the typical fund-raising methods in this field, we proposed a value-backed economic mechanism which has a clear separation of tokens' attributes as well as a reasonable distribution rule of profit. Rather than issuing a token with both utility and financing attributes at the very beginning, a utility token with a warrant attribute is introduced to stimulate and facilitate the value exchange between miners and other participants. After the business has become mature enough, token holders can redeem certain security tokens and start to enjoy dividends and other rights as a shareholder. In this way, speculation and fraud risks can be dramatically reduced, benefiting both project developers and investors.
Digital Ledger Technology based Real Estate Transaction Mechanism &amp; its Block Size Assessment

Distributed ledger technology (DLT) is set to transform the existing architectural models of financial institutions and government machineries. Although real estate transactions are a major source for the governments to earn revenue, these are plagued with the risk of fraudulent practices. The digital documents are vulnerable to the alteration or any other attacks or can be tampered and ownership of the documents can be changed. The centralised storage involves single point of failure as well as network traffic overhead. The proposed distributed and decentralised blockchain-based architecture provides protection against any intrusive activity which is offset by the majority voting achieved in consensus mechanism for each transaction and verification request. The proposed work provides web interface for user queries and analysis of query search time is carried out.
Unsupervised Extraction of Partial Translations for Neural Machine Translation

Benjamin Marie, Atsushi Fujita. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2019.
METHOD OF OPTICAL FLOW ESTIMATION BASED ON IMAGE BLOCK WEIGHTING

A method of video camera (or platform) motion estimation used in image processing is proposed for determining the object motion parameters. The method defines and forms an optical flow with weighting measurements for the image block system. Numerical simulation data for test images obtained evidence on the efficiency and effectiveness of the approach offered. The developed method and algorithms for its implementation are versatile and can be applied in different fields of motion analysis and moving object control.
The Matter of the Medium: Instant Messaging on the Spoken-Written Continuum

By Mavris Masterson, German Studies & Marketing Advisor: Lindsay Preseau Presentation ID: PM_D29 Abstract: This project seeks to analyze differences between native German speakers' retellings of an exciting personal story through the media of speech, a formal email, and an informal text. There are notable differences between both spoken and written forms of communication and utterances belonging to different genres. However, little research had been done with the addition of the third component of the informal instant message. It is important that this growing method of communication not be ignored as instant messaging increases in popularity and is increasingly used in a wide variety of contexts. Understanding this medium and its specific differences from speech and formal written communication is crucial to its effective utilization.
Developing Of Reading Book`S Culture Is One of the Most Important Sides in the Youth

This article is about developing the culture of reading books among our young generation. The culture of reading book is decreasing day by day because of the internet and other gadgets. In order to overcome this problem, we should teach our youth how to work on different books. And we gave some reasons and examples on this topic.
THE CHARACTERISTICS OF ALBUS DUMBLEDORE IN HARRY POTTER AND DEATHLY HOLLOW BY JK. ROWLING

Novel is a part of literature, a fictional piece of prose usually written in narrative style. In non-fiction novel, there are also character. The one main character is usually the non fiction maker ( author ) itself. Talked about character, there must be characteristic. The analyst tries to analysis the characteristic of Albus Dumbledore of Harry Potter and Deathly Hollow by J.K Rowling. The analyst wants to share information about the moral value of Albus Dumbledore, his dark side, his abilities, his support as a protector and helper for Harry Potter and his friends. The pupose of this study was about to describe the characteristic of Albus Dumbledore. The method of this reserach was qualitative approach with coding, decoding, categorization and confirmation. The problem of the research was used objective approach. Data collection technique was used library study and literary study. The result of this research was Albus Dumbledore is wise, gentle, kind, misterious in way, knowlegable, caring and understanding. The conclusion of this research was the character of Albus Dumbledore is not just a story but we can adapt it in our life, without magic wand, everyone can be as same as Albus Dumbledore characteristic, if there is a willing.Keyword : Character, Characteristic, Novel
Aplikasi Prediksi Harga Emas dan Administrasi Toko Perhiasan Berbasis PHP dan Scan QR-Code Menggunakan Metode Regresi Linear Sederhana

Perkembangan zaman pada siklus jual-beli perhiasan saat ini tentunya tidak lepas dari teknologi informasi. Didalam menentukan harga jual-beli perhiasan, aplikasi prediksi harga emas pada toko perhiasan dapat membantu pemilik toko dalam menentukan harga jual ataupun beli perhiasan. Aplikasi prediksi harga emas dan administrasi toko perhiasan berbasis php dan scan qr-code. Metode yang digunakan dalam menentukan prediksi yaitu metode Regresi Linier Sederhana. Perancangan sistemnya menggunakan PHP, database MySql (XAMPP) dan di akses secara offline. Dengan menggunakan aplikasi ini dapat mempermudah kinerja yang lebih efektif dan efisien. Kata Kunci: Aplikasi Prediksi, Administrasi, Toko, Scan QR-Code, Regresi Linier Sederhana Application of Gold Price Prediction and Administration of Jewelry Shop based on PHP and Scan QR-Code Using Simple Linear Regression Method ABSTRACT The development of the times in the cycle of buying and selling jewelry at this time certainly cannot be separated from information technology. In determining the purchase price of jewelry, gold price prediction app at jewelry store can help store owner in determining sale price or buy jewelry. Gold price prediction app and PHP jewelry store administration and QR-code scan. The method used in determining the prediction is the Simple Linear Regression method. The design of the system using PHP, MySql database (XAMPP) and in access offline. By using this application can facilitate more effective and efficient performance. Keywords: Prediction, Administration, Store Application, QR-Code Scan, Simple Linear Regression
Customizing Grapheme-to-Phoneme System for Non-Trivial Transcription Problems in

Sudipta Saha Shubha, Nafis Sadeq, Shafayat Ahmed, Md. Nahidul Islam, Muhammad Abdullah Adnan, Md. Yasin Ali Khan, Mohammad Zuberul Islam. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2019.
Let's build the future of libraries together: The strategic move of the Complutense Library towards global cooperation

Cooperation in libraries has led to great professional achievements, but if we want libraries to have a future, we must build it together by cooperating more intensively. On the one hand, cooperation must penetrate to the bosom of the information systems themselves, eliminating redundancies in the internal work processes and making the most of the increasingly scarce resources at our disposal. On the other hand, we must align it within the framework of a much more intense international cooperation, which will build on firm projects on a global scale. As an example of this, several innovative and global cooperative projects are briefly presented in which the Library of the Complutense University has embarked during the last few years.
Trust based Cloud Brokerage Approach using Cryptographic and Weighed Technique

Cloud computing is emerging as the future Internet technology due to its advantages such as sharing of IT resources, unlimited scalability and flexibility and high level of automation.Along the lines of rapid growth, the cloud computing technology also brings in concerns of security, trust and privacy of the applications and data that is hosted in the cloud environment.In this paper, we design and implemented trust based model of data during the brokerage.For preparing solution, in first step a cryptographic approach using the tiger hash and DES algorithm is provided which helps to preserve data on cloud securely.In addition to that, second step illustrate a new trust management concept using weighted trust technique.Our proposed approach is simplified yet efficient algorithm that can implemented for cloud brokerage application that strictly enforce the user trust that identified server rating.In this approach, we measure number of performance parameters which exemplify system availability in critical phase of the applications.
ELLIPSIS PHENOMENON IN SENTENCES FOUND IN NOVEL SHERLOCK HOLMES

&#x0D; Abstract&#x0D; Ellipsis is one of phenomenon in language use. Traditionally, ellipsis is the grammar means that avoids repetitions, abandons the old information, highlights key words and make the context connected tightly. The structure of the sentence that occur ellipsis phenomenon of course will have changed and quite different with the common grammatical sentence which used the rules but still have same meaning.cNovel Sherlock Holmes was chosen as the data source of this research because there are a lot of type ellipsis phenomenon found. It mainly aimed at investigating types of ellipsis phenomenon occurred in the novel completed by showing the structure of constituent that construct the sentences in tree diagram. The discussion is not only in Syntax view point, this research also tries to describe the function of the ellipsis, because actually ellipsis is not only used for the speaker’s economy but it can have many other function such can remove ambiguity, can convey non-expressible aspect of meaning, can establish discourse coherence and contribute to a positive rapport with the hearer. The data focused on the sentences that got from narration and dialogs that found in a fictional private detective novel. The method of collecting the data used direct observation method by reading the novel which contains 1059 pages, then collected the sentences which occur ellipsis, checked the structure of the sentences while choosing some sentences that represent various sentence structure of elliptical phenomenon and functions based on theory used. After the data collected, they analyzed by some theories. The types of ellipsis phenomenon analyzed using Kiss and Alexiadou (2015) collected theories, then the structure investigated by Brown (1991) theory, and the function analyzed by Hendricks &amp; Spenader (2005) theory.&#x0D; Keywords: Ellipsis phenomenon, type, syntactic structure, function.
Virtual display system of geological body based on key algorithms of three-dimensional modelling

In order to study the virtual display system of geological body, the key algorithm of three-dimensional modelling is used to analyze it, and the virtual display scheme of geological body is realized. Three-dimensional modelling of geological bodies is a frontier field of current geoscience research , and also a hot issue in computer science. Its research can complement and improve the theoretical basis of virtual reality technology and expand its application fields. Geological body three-dimensional modelling software can meet the needs of geoscientists to study geological problems more effectively from three-dimensional space, and has considerable practical value. In the network environment, users’ information needs are diversified and individualized, and special attention is paid to the breadth, novelty and timeliness of information. Faced with massive information resources, the information users need is a drop in the ocean in the huge and disorderly network information space. Users need to spend a lot of time and energy to find valuable information in all kinds of uniform systems. Traditional system information services can no longer help users effectively get rid of information overload and information lost. Therefore, the concept of personalized service system has become a hot spot of people’ s attention as soon as it is put forward. In recent years, personalized systems have emerged in endlessly. In the early stage of formulation and implementation of personalized service strategy, the existing personalized service generally lacks the attention to context information such as user’ s environment. There are weak links in personalization and intellectualization of service, which damages user experience. Therefore, Shepard algorithm and Kriging algorithm of three-dimensional modelling are used to study the virtual display system of geological bodies. The results show that these two key algorithms play a very important role in the research process of geological virtual display system, and also provide a new idea for further research on the popularization of geological knowledge.
Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models

Yiben Yang, Ji-Ping Wang, Doug Downey. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2019.
MOBILE LEARNING AND HEALTH EDUCATION: HOW STUDENTS OF BIOMEDICAL LABORATORY SCIENCES USE THEIR MOBILE DEVICES?

Mobile Learning (M-learning) is an emerging area of distance education that takes advantage of the ubiquitous power of mobile devices, enabling the teaching and learning process by increasing access to information and supporting different types of learning.This article is part of a larger study, exploratory and descriptive, in which the use of mobile devices as a mediation tool in the teaching and learning process in a Portuguese higher school of health was analyzed.The instrument of data collection was a survey, which, in this case, 634 students responded to, with the aim of describing their use of mobile devices in learning contexts.From the data analysis, we perceive that the students mostly acquired their first mobile device at the age of 10 years old.Of these 98% use the Smartphone, mobile phone and tablet every day, and these mobile devices are of the following brands: Samsung (33%), Apple (15%), and Nokia (10%).The Android operating system prevails (70%) over iOS (15%).The features of the mobile devices most used by the students were SMS, alarm clock, and Internet access, with percentages of use greater than or equal to 90%.The importance attributed to the Apps for study and learning is indifferent or rejected for 72% of students.We can conclude, on account of our results, that the participants have, according to our perspective, the two conditions necessary to engage in mobile learning, namely: (i) positive perceptions about mobile devices, essentially in their ability to provide pedagogical advantages; (ii) owning a mobile device, meaning it is possible to implement a Bring your OWN device (BYOD) strategy.