Reviewerly/exHarmony huggingface dataset:
Mathematical modeling using coordination mechanisms for multi-agent systems in service oriented architecture

A heterogeneous communications mechanism is essential between different types of SOA applications to ensure the communications will be well maintained. The need for heterogeneous communications within SOA has attracted different research efforts as reported in various literature. This research interest is specifically focused on interoperability of heterogeneous communications in multiple types of SOA applications. The study of the coordination problem is an important issue in the multi-agent system. In the current software development industry, most software products are produced with the expectation that the application will provide intelligent coordination with the minimum level of interruption. This case is not always acceptable especially for the critical system especially those that deal with complex communications that involved multiple types of participants where the partner application needs to know about the basic guide and specification of each other. The proposed solution is dealing with one of these issues as it evaluates the coordination between the partner applications where the accuracy of responding is involved. For this reason, we modeled the proposed system mathematically using Coordination mechanisms to validate and verify the system for heterogeneous communications in SOA system.
How fast can one resize a distributed file system?

Efficient resource utilization becomes a major concern as large-scale distributed computing infrastructures keep growing in size. Malleability, the possibility for resource managers to dynamically increase or decrease the amount of resources allocated to a job, is a promising way to save energy and costs. However, state-of-the-art parallel and distributed storage systems have not been designed with malleability in mind. The reason is mainly the supposedly high cost of data transfers required by resizing operations. Nevertheless, as network and storage technologies evolve, old assumptions about potential bottlenecks can be revisited. In this study, we evaluate the viability of malleability as a design principle for a distributed storage system. We specifically model the minimal duration of the commission and decommission operations. To show how our models can be used in practice, we evaluate the performance of these operations in HDFS, a relevant state-of-the-art distributed file system. We show that the existing decommission mechanism of HDFS is good when the network is the bottleneck, but can be accelerated by up to a factor 3 when storage is the limiting factor. We also show that the commission in HDFS can be substantially accelerated. With the highlights provided by our model, we suggest improvements to speed both operations in HDFS. We discuss how the proposed models can be generalized for distributed file systems with different assumptions and what perspectives are open for the design of efficient malleable distributed file systems.
Binary Representation and High Efficient Compression of 3D CNN Features for Action Recognition

A common framework of the action recognition is to collect the videos from different cameras into a cloud center firstly, and then perform the 3D CNN on the cloud server. Although directly, this framework will bring a huge burden to the cloud server and video transmission. To handle this challenge, the "front-cloud" collaborative processing architecture can be used. The most import issue is to compress the feature from 3D CNN effectively without significant loss of accuracy. We propose logarithmic quantization with a maximum value threshold and HEVC inter encoding for 3D CNN features. Experimental results on ResNet-50 and InceptionV1 show that the features can be represented by only 1 bit without significant loss of accuracy. The compression ratio of the quantized 1 bit features using HEVC inter coding can reach to 5000 times and the loss of accuracy is less than 1%.
LibGuides: Design Fundamentals 2D: How are they organized?

Guide for AR 1110 Design Fundamentals 2D This page describes the system we use to organize the tens of thousands of art and design books and other resources in the library: the Library of Congress Classification System (LC)
Investing Trust in Blockchain Technology: Bitcoin Case Study

The present paper explores the current development of cryptocurrencies, emphasizing the concept of trust related to the blockchain technology and the digital currency market. The study offers a fundamental review of relevant research papers on Bitcoin, examining the main issues of trust among five categories of stakeholders: Governments, users, miners, exchanges and merchants. The results highlight the trust challenges on Bitcoin, reveling a unique perspective of risks on the cryptocurrency market, contagion effects, decentralisation systems or cryptocurrency regulation. The blockchain features are explained in order to better understand the Bitcoin mechanism, presenting the advantages of using such technology, concluding that Bitcoin is a product of the mistrust in financial institutions and an attempt to use alternative payment systems in a more secure way.
Analysis of Errors Made by Iraqi University Students in the Area of English Relativization System

This study aims at giving an account of an analysis of errors made by Iraqi university students in the area of English Relativization system. It focuses mainly on dealing with the investigation of the syntactic errors committed by Iraqi students in English relative clause. This causes a major problem for university students learning English as a foreign language. This comes from the students' interlingual and intralingual strategies. This also indicates that the university students seem to depend on the target language (TL) system rather than on that of the native language (NL). The technique used is an error analysis which Wilkins (1972) highlights its value in giving "greater understandings of the difficulties that learners face, and will perhaps assist in the development of pedagogic strategies." (p. 206). After analyzing and interpreting the errors made in the 100 students' compositions, some recommendations are given.
LCC Research Guides: Library Makerspace: 3D Printing

The Library Makerspace is temporarily closed to walk-in use while the campus is closed due to Covid-19. We look forward to seeing you again when it is safe to do so.
LibGuides: Free and Enhanced Access to E-Resources During the Coronavirus Restrictions: Home

A directory of free and enhanced access to licensed electronic resources announced by vendors and publishers during the Spring 2020 semester. These are available to students and faculty.
Determination of the Mitotically Most Active Region for Computer-Aided Mitotic Count

Manual count of mitotic figures, which is determined in the tumor region with the highest mitotic activity, is a key parameter of most grading schemes. It can be, however, strongly dependent on the area selection due to uneven mitotic figure distribution. We aimed to assess the question, how significantly the area selection impacts the mitotic count, which has a known high inter-rater disagreement. On a data set of 32 whole slide images of H&E-stained canine cutaneous mast cell tumor, fully annotated for mitotic figures, we asked 8 veterinary pathologists (5 board-certified, 3 in training) to select a field of interest for the mitotic count. To assess the potential difference in grading, we compared the mitotic count of the selected regions to the overall distribution on the slide. Additionally, we evaluated three deep learning-based methods on the same task: In one approach, the model would directly try to predict the mitotic count for the presented image patches as a regression task. The second method aims at deriving a segmentation mask for mitotic figures, which is then used to obtain a mitotic density. Finally, we evaluated a two-stage object-detection pipeline based on state-of-the-art architectures to identify individual mitotic figures. We found that the predictions by all models were, on average, better than those of the experts. The two-stage object detector performed best and outperformed most of the human experts on the majority of tumor cases. The correlation between the predicted and the ground truth mitotic count was also best for this approach (0.963 to 0.979). Further, we found considerable differences in position selection between experts, which could partially explain the high variance that has been reported for the manual mitotic count. To achieve better inter-rater agreement, we propose to use a computer-based area selection for the manual mitotic count.
Development of Future Teachers` Professional Thinking by Means of Task Approach to Organization of Educational Process

The importance of the problem of developing the future teachers` professional thinking as a condition for their effective pedagogical activity is actualized in the article; different approaches of scientists to its interpretation are analyzed.Professional pedagogical thinking is interpreted as a necessary basis for providing future teachers with research skills, developing their pedagogical intuition and key operations, procedures of scientific thinking, forming professional reflection skills.The task approach to the organization of the educational process is such that it involves the introduction into the content of training programs for professionals of applied nature, which allow first to mentally construct different options for solving practical problems of different levels of complexity, to predict their effectiveness, and only then to design the plane of their application in practice, to reflect.
Contribution of Banking Sector in Gender Equity and Women Empowerment through Corporate Social Responsibility in NCR

Women Empowerment is one of the effective tools of Gender Equality in any nation. Definitely it is one of the important indicators of socio-economic development. Since the implementation of new Industrial Policy 2013, the Corporate Social Responsibility (CSR) becomes an obligatory phenomenon for social development. Keeping both these variables in view, almost all the sectors considered women empowerment as an opportunity to fulfil the obligation of CSR. This research paper is an attempt to evaluate the CSR execution by banking sectors as a contribution in Gender Equity and Women Empowerment. Secondary data published by the bank’s annual reports and official portals of banks as well as Government of India were used as data source for this research. Major findings of this research are not very different from the alternative hypotheses. The women empowerment needs for attention trough CSR. Only few banks are separately spending money for this purpose. Few of them are spending their CSR funds in related heads but the banks like HDFC, ICICI, SBI, Canara and Corporate have had addressed the issue of Gender Equity and Women Empowerment and used their significant CSR funds for the same purpose. Although most of the CSR activities are routed indirectly through NGOs but still the contribution is recorded significantly increasing during 2013 to 2018-19. The research strongly suggested that the direct execution from the corporates is required for better results. It has been also suggested that in place of CSR, Social Business model should be adopted as adopted by Bangladesh.
MACHINE LEARNING BASED DIGITAL IMAGE WATERMARKING

Watermarking is the method of adding information in digital media for content protection and authentication. Digital image watermarking is one of the solutions to offer value added security on the top of authentication and data encryption for content protection in digital images. The watermarking methods can be frequential and spatial domain methods. In this work, the frequency domain based watermarking method is implemented with the use of discrete wavelet transform (DWT). Along with the frequency domain technique, here we are utilizing the combination of topical developments of the mathematical techniques and most advanced algorithms of machine learning for digital image watermarking process. The mathematical technique considered here is the principal component analysis (PCA) because of its property of dimensionality reduction which further enhances the robustness to watermarking process. The machine learning algorithm taken into account in this work is the support vector machine (SVM) algorithm to increase the accuracy of watermarking process.
LibGuides: Online resources and support: Communicate, collaborate and store

A guide to help you with basic and more advanced digital skills for university learning How to use Zoom and Office 365 apps
Hadoop and Spark Technology - A Comparative Study of Big Data Tools

Data In this Digital world everything is going to be digitalized. People are using social media, digital documents, Online Banking, Facebook, Twitter etc. All these things generates a bulk amount of data either it is in structured or unstructured form. To manage this bulk amount of data Hadoop and Spark technologies are used. These technologies are capable to manage, store, process and analyze such kind of data. In this paper we highlight the overview of Hadoop, MapReduce, HDFS and Apache Spark tools of Big Data.
Differences in The Emotional Regulation of Male and Female Students

This research is motivated by students who have unstable emotions and emotions that are exaggerated and incorrect. The purpose of this study is to describe the emotional regulation of male students, describe the emotional regulation of female students, and test whether there are differences in the emotional regulation of male and female students. This research is descriptive and comparative in nature, with 118 VII grade VII and VIII grades of SMPN 4 Padang research. The research instrument used is the Likert scale. Data were analyzed using descriptive statistical techniques and t-test with SPSS version 20 support. The research findings showed that (1) male students had emotional regulation in the medium category (2) female students had emotional regulation in the low category (3 ) there are differences in the emotional regulation of male and female students
Pedagogical Practice as an Essential Step for Development of Pedagogical Competencies

Armenia signed the Lisbon RecognitionConvention on Education in 1997, and joined the Bologna Process in 2005, thus becoming a full member of the European Higher Education Area.As a result of joining the Bologna System, we adopted competence-based education, which put new challenges both for high school education and secondary school teaching.In the traditional frame of education in Armenia, the teacher was considered the main transmitter of knowledge.Due to education reforms, this traditional frame was replaced by the competence-based approach, where the four areas of the competencies (learning to know, learning to do, learning to live together and learning to be) form the basis on which the teacher constructs his professional ability to apply them in everyday work and develop professional skills.The internationalization of the education process arose different problems.On one hand, some of the specialists think that the changes have formal character, they are obligatory, superficial and don't change the traditional character of the teaching process.On the other hand, the students receive a good deal of modern theoretical information on the competencies at their university classes.So, we face a contradiction between theoretical knowledge and its practical application.
SOCRATIVE APP IN NATURAL SCIENCES ON ELEMENTARY SCHOOLS

Modern technologies are nowadays a usual part of elementary school’s lessons. They are involved in all parts of the lesson. The help the teacher to expose the curriculum, the students to fixate it and they are even usable in testing the knowledge. In this article we will focus on Socrative App, which can be used while fixating the curriculum, but mainly while testing it. The app is a free blank type of app and the teachers can create their own materials in it. Students fill out the tests using their own computer or mobile device. The app is available for iOS, Windows and Android. In our research we use questionnaire to find out children’s (12-14 years of age) opinions on the Socrative App. The students have been using the app over the last 4 months in natural history, physics and chemistry while exercising the curriculum as well as testing it. Our research showed interesting results, mainly with a few students who have special educational needs and are integrated in ordinary classes. To complete the research we also conducted an interview with these children with special educational needs and also with their teachers. We can say that the children really liked the app, more while testing the curriculum than while fixating it. Very positive reactions came from students with special educational needs.
The Effect of Learning Technique and Reading Interest Towards Students’ Listening Skill

&lt;p&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; This research aims to determine the effect of learning technique and reading interest toward students’ English listening skill. This research is an experimental type. The instruments used were written tests and questionnaires. The results of this research showed there is an effect between learning techniques and reading interests toward students’ Listening skills. There are significant differences between students having high and low reading interest. Those who learned with Dictogloss Technique have higher reading interests than those who learned with Traditional Dictation Technique. Meanwhile, students having low reading interests who learned with Dictogloss Technique and Traditional Dictation have no significant difference in English listening skills.&lt;/p&gt;&lt;strong&gt;Abstrak:&lt;/strong&gt;&lt;em&gt; &lt;/em&gt;Penelitian ini bertujuan untuk mengetahui pengaruh teknik pembelajaran dan minat baca terhadap keterampilan menyimak bahasa Inggris mahasiswa. Penelitian ini merupakan jenis penelitian eksperimen. Instrumen yang digunakan adalah instrumen tes dan kuesioner. Hasil penelitian ini menunjukkan bahwa terdapat interaksi antara teknik pembelajaran dan minat baca terhadap keterampilan menyimak bahasa Inggris, terdapat perbedaan keterampilan menyimak antara kelompok mahasiswa dengan minat baca tinggi dan rendah yang belajar dengan teknik &lt;em&gt;dictogloss&lt;/em&gt; darpada yang belajar dengan teknik &lt;em&gt;traditional dictation&lt;/em&gt;, hasil keterampilan menyimak kelompok mahasiswa dengan minat baca rendah yang belajar dengan teknik &lt;em&gt;dictogloss&lt;/em&gt; dan teknik &lt;em&gt;traditional dictation&lt;/em&gt; tidak menunjukkan adanya perbedaan yang signifikan.
Psychological-Pedagogical Training of Professional Education in Ukraine

In the article substantiation of theoretical and methodological foundations of professional training of teachers of vocational training in ZVO, the system of their psychological and pedagogical training was developed and experimentally tested.
Developing EFL Writing Materials Using Graphic Organizers At English Department of IAIN Palangka Raya

The study attempted to develop a syllabus and instructional materials that appropriate for the teaching of Essay Writing course Using Graphic Organizers. The Research and Development (R&D) procedure was employed in this study. The model used for designing the syllabus and developing instructional materials followed Yalden’s model known as Language Program Development with modification. The subjects of the study were the 48 students, the coordinator of English Study Program at IAIN Palangka Raya, and Essay Writing lecturer. The final product of this study is the instructional materials for nine meetings covering introduction to the essay (unit 1 meetings 1-4), illustration essay (unit 2 meeting 5), classification essay (unit 3 meeting 6), process essay (unit 4 meeting 7), comparison contrast essay (unit 5 meeting 8), and cause and effect (unit 6 meeting 9). Each unit consisted of learning objective, topic, sub-topic, description, relevancy, and keywords. The instructional material has been empirically tested in try-out stage. Based on the statistical calculation, it was shown that using proposed instructional materials gave facilitative effect on the students’ essay writing performance. Here, the t value of 8.639 was greater than t theoretic at the 5% (1.648) and 1% (2.423) of significant level.
(Semi)Algebraic Proofs over ±1 Variables.

One of the major open problems in proof complexity is to prove lower bounds on AC 0[p]-Frege proof systems. As a step toward this goal Impagliazzo, Mouli and Pitassi in a recent paper suggested to prove lower bounds on the size for Polynomial Calculus over the {± 1} basis. In this paper we show a technique for proving such lower bounds and moreover we also give lower bounds on the size for Sum-of-Squares over the {± 1} basis. We show lower bounds on random Δ-CNF formulas and formulas composed with a gadget. As a byproduct, we establish a separation between Polynomial Calculus and Sum-of-Squares over the {± 1} basis by proving a lower bound on the Pigeonhole Principle.
PEDAGOGICAL PRACTICE AS ONE OF THE IMPORTANT COMPONENTS ENHANCING PROFESSIONAL COMPETENCE

L. Tavdgiridze, N. Sherozia, N. Mamuladze, I. KhasaiaBatumi Shota Rustaveli State University (GEORGIA)
Parents’ Sum of Salaries Analyses towards School Tuition Fee Arrears Potential with Decision Tree Method

School tuition fee is typically used for funding school operational, i.e. paying honorary teachers in public and private schools, purchasing practical instruments, printing examination worksheets, and other net-operational costs. According to the discovered data in the research environment, the funding is unable to be acquired properly due to students’ school tuition fees arrears for months even years until they graduate. Considering the condition, this research is conducted to identify the potential of students’ school tuition arrears, based on the sum of their parents’ salaries centered on the business intelligence approach, using the decision tree method. The analysis results show that, students whose parents’ income is less than Rp 672.500,00 will be potentially in arrears with school tuition more than Rp 900.000,00 each month, while students whose parents’ income is above Rp 672.500,00 are potentially in arrears of less than Rp 900.000,00 or not in arrears. To evaluate the effectiveness of the decision tree algorithm for data processing, it has an accuracy value of 95.97%, with a precision of 94.96% that means the algorithm has a good correlation based on attributes and the data that have been processed by the algorithm.
The Comparison between Male and Female Students in Reading Comprehension Achievement at the Third Semester of TBI STAIN Pamekasan

The students of STAIN Pamekasan consist of male and female students. Each of them shows different abilities. Male students generally have a good performance on spatial tasks and mathematical achievement. While, female students are superior in some aspects such as mathematic calculation, vocabulary, found an idea, memorizing, and making a relation, several verbal skills, reading, and writing. This study examines to know the different achievements between male and female students in reading comprehension in the third semester of TBI STAIN Pamekasan and to measure the statistically significant difference between male and female students in reading comprehension achievement at the third semester of TBI STAIN Pamekasan. This research is designed with ex-post facto. The population is 210 students, and 82 students were chosen as sample. The research instruments were tests and documentation. The quantitative data will be analyzed using a t-test. The result showed that there is no difference between male and female students in reading comprehension achievement in the third semester of TBI STAIN Pamekasan. t-value is lower than t-table [-1,226 &lt;2,64 (1%)] [1,226 &lt;1,99 (5%)]. Based on the result above, the lecturer needs to pay attention more to the students’ improvement in studying English, especially in reading comprehension