Reviewerly/exHarmony huggingface dataset:
Dynamic Load Balancing Using Restoration Theory-Based Queuing Model for Distributed Networks

Nowadays, web servers are overloaded regularly because of heavy traffic on the Internet or web. Web server cluster-based architectures are widely used to offer highly efficient Internet services. There are many web server clustering methods offering transparency on behalf of the client side. However, there is no assurance for information transparency in terms of the server side. Existing method require special software to ensure transparency. The current systems are not capable of carrying a large amount of request parallely. Hence, Internet traffic has increased. The article introduces web server cluster-based load-balancing techniques associated with a scalable server model. In this model, the server is considered as a tank with inflow and outflow. Henceforth, the web server cluster could be demonstrated as a multiple-tank system with certain inflow constraints using multithreading and control procedures. The article also concentrates on how effectively this technique minimizes the resource utilization of the servers to improve the load of servers. The method works to optimize the server load using a restoration theory-based queuing model. The proposed technique also characterizes the system price as weighted combination for both placement changes and inter-application communication cost. On the basis of the implementation evaluation, the proposed method reduces the execution time and communication cost and optimizes the load-balancing factor compared to other existing methods.
Memory Strategies Used in Improving English Vocabulary Repertoire: A Case Study of Third Semester Students at Department of English Education Universitas Muhammadiyah Surakarta

This study aims at describing memory strategy used to improve English vocabulary repertoire, a case study of third semester students at Department of English Education UMS. The purpose of this study: (1) to identify the memory strategy used by students in speaking class of third semester Department of English Education UMS, (2) describe the students preferences in using memory strategy in the classroom of speaking class. The participants are the best six students of speaking class the third semester students in DEE UMS. The type of this research is descriptive qualitative. In this study there are three method to collect the data such as observation, interviews, and questionnaires. The data was analyzed in data reduction, data display, and drawing conclusions. The results showed (1) there are four memory strategies applied by the students in learning vocabulary, namely: creating mental linkages, applying images and sounds, reviewing well, and employing action. (2) The students preferences in using memory strategy in the classroom of speaking class, namely: using keyword, associating, placing new word into a context, structural viewing, using physical responses, using imagery, and semantic mapping.
Perancangan Sistem Informasi Inventory Berbasis Web Pada Skincare Cikarang Skin Center

Skincare Cikarang Skin Center is one of the pharmaceutical industries engaged in skin health care. The pharmaceutical industry, which has been established since 2015, combines beauty and skin health care with the latest technology. As a supporter of the use of the latest technology that continues to be developed by the Cikarang Skin Center, the need for an inventory information system can no longer be offered as part of excellent service to customers. For this reason, an inventory information system was built to meet these needs. The design of this inventory information system was built using Bootstrap templates and written with native PHP techniques and MySQL databases. Designed using Flowcharts, Dataflow Diagrams and Entity Relations Diagrams and has been tested using black box testing. The results of user responses to the design of this system an average of 83.5%. This shows that the design of inventory information systems is able to improve management performance and productivity, reduce the level of errors that often occur, improve the accuracy of report data and print documents so that the results are able to accommodate and solve the problem of user needs for inventory problems so far.
Veined Bodies of Kharbey Area in Polar Urals

Abstract The steady increase in the price of gold in the world market causes increased interest of domestic and foreign investors not only in the traditional and long-known gold-bearing regions of Russia, but also in new territories where valuation works for gold have been actively carried out recently. One of such territories in the Polar Urals is the Riphean-Ordovician folded frame of the Precambrian Kharbey crystalline massif located in the Sakmar-Lemvinsky structural and facial zone within the river basins Grand Paypudyna river and Kharbey river. The gold mineralisation of Kharbey area and its ampelshorskaya zone is associated with the development of the black shists formation, with the stratiform type of gold mineralization characteristic. Another important feature of this area is the massive development of heterogeneous mineral veins, some of which may be gold-bearing.
Dynamic Service Composition in Semantic Internet of Things Based on QoS

Abstract There are some problems in the semantic internet of things, such as the limited resources of atomic services provided by physical devices and the dynamic changes of their environment. Based on this, this paper proposes a dynamic service composition method based on QoS in the semantic Internet of things. According to the QoS ontology of adding context, this method dynamically annotates the services in the semantic Internet of things, and dynamically selects and combines the service set to be selected. It can dynamically provide accurate services for service requesters according to service objects and service environment.
Research on Error Correction Coding Closed Set Recognition Technology Based on Deep Learning Method

Abstract It is very difficult to obtain information in non-cooperative areas. Error correction coding analysis is one of the key and difficult links. The general analysis is highly demanding and highly dependent on the level of personal analysis. For this reason, we mainly study various deep learning methods, which are applied to scrambling codes, short constraint length convolutional codes, and short constraint length block codes and we also I want to rely on the development of deep learning now, to study and realize intelligence and automated analysis.
Decentralized Differentially Private Segmentation with PATE

When it comes to preserving privacy in medical machine learning, two important considerations are (1) keeping data local to the institution and (2) avoiding inference of sensitive information from the trained model. These are often addressed using federated learning and differential privacy, respectively. However, the commonly used Federated Averaging algorithm requires a high degree of synchronization between participating institutions. For this reason, we turn our attention to Private Aggregation of Teacher Ensembles (PATE), where all local models can be trained independently without inter-institutional communication. The purpose of this paper is thus to explore how PATE -- originally designed for classification -- can best be adapted for semantic segmentation. To this end, we build low-dimensional representations of segmentation masks which the student can obtain through low-sensitivity queries to the private aggregator. On the Brain Tumor Segmentation (BraTS 2019) dataset, an Autoencoder-based PATE variant achieves a higher Dice coefficient for the same privacy guarantee than prior work based on noisy Federated Averaging.
English Department Students Error in the Use of Adjective Clause

Abstract The main purposes of the study are investigating the types and factors cause errors in using adjective clauses. The method of this study was descriptive qualitative method which focused to describe the types of errors and to describe the factors causes’ error. The subjects of this study were 20 students from the first Semester students of English Department of STKIP Muhammadiyah Sampit. In taking sample, the writer used snowball sampling. In collecting the data, the writer used four types techniques, they were observation, test, interview, and documentation. In data analysis procedure, the writer uses data reduction, data display, and conclusion drawing/verification. The result of this study showed the types of error made by First Semester students of English Department of STKIP Muhammadiyah Sampit in using adjective clauses classified into four categories. The highest error made by the students was misordering with frequency 85 (80,95 %). The second error made by the students was omission with frequency 9 (8,57 %). The third error made by the students was misformation with frequency 9 (8,57 %). The fewest error made by the students was addition with frequency 2 (1,90 %). Based on the analysis of the data, the factors that cause error in using adjective clauses classified into two factors. They are teacher and students’ factor. Teachers’ factor is caused by the competence of the teacher. Students’ factor is caused by overgeneralization and translation. It is suggested that for the students, they should learn and practice more how to use adjective clauses in sentences. For the teachers, they are suggested to explain more intensively about adjective clauses and provide additional teaching hours for the students who face difficulties and also, they are suggested to give the students more practice and exercise to add their knowledge about the kinds of adjective clauses sentences.
Using Dissertation Reviews For Studying Academic Conventions (Russia, Late 19th – Early 20th Centuries)

At the turn of the XIX – XX centuries scientists focused on the procedure of the dissertation research’s scientifically verifications, create expert forms for assessing the quality of scientific work. One of these procedural forms became peer review. The article examines the culture of dissertation reviews at Russian universities in the designated period. The author, using an examples from specific texts of reviews, focuses on the formation of conventions, on criteria for assessing the quality of research, identifies the basic requirements for the degree of scientific texts. The main conclusion of the article is that the assessment texts contributed to the conclusion of academic agreements and their maintenance (retention).
ONLINE INTERCAMPUS COLLABORATIVE DATABASE OF LIBRARY AND INFORMATION SCIENCE THESES: DESIGN AND NEEDS ANALYSIS

This study presents the needs and design preferences of potential users, contributors, and administrators of a proposed Online Intercampus Collaborative Database of Library and Information Science Theses from various LIS academic institutions in the Philippines. With the use of survey questionnaires and interviews, findings show that there is a general positive agreement on the high need to establish such database. Both users and contributors generally report their significant need for ease of use and research utility. However, users are more inclined to full-text access than contributors. Both groups report a lower preference on online public access of the database. One of the academic institutions included in the study, the University of the Philippines Diliman, expresses full support on this project and its willingness to spearhead, manage, and facilitate the database. With the initial results of this study, further studies with more respondents, and actual design and implementation of this database are highly recommended to be done.
John E. Riley Library: Grammarly: Grammarly for Students

Grammarly is a grammar, spelling, punctuation, misused word, and plagiarism checker available to NNU employees and students.
Research into College English Teaching under Artificial Intelligence in China

Abstract This paper presents the integration of college English teaching and artificial intelligence through the mechanism of the latter: natural language processing and big data mining with corresponding examples. In the hope of providing some teaching ideas and improving the current college English teaching in China.
Research Guides: Sciwheel (formerly F1000)- Citation Management: Using the Sciwheel Word Extension

The F1000 Word extension can be used to place in text citations and references in a bibliography in the style of your choice
HCCC Libraries: Foundational Learning Center: For Instructors

This Guide contains general information regarding the Foundational Learning Center in room I-102 and room N-408
THE USE OF DIARY WRITING TO IMPROVE STUDENTS RECOUNT TEXT

The research was aimed to investigate the use of diary writing to overcome students’ problem in writing recount texts. The problems include writing a recount text in chronological order, writing correct verb changes and developing ideas. Classroom action research was conducted by applying diary as the technique to help students overcome their problem. There were two cycles conducted in this research. The data were taken from the students’ individual score, observation checklist, and field notes. The result showed that teaching writing through diary writing improved students’ writing recount text. Referring to the research findings, the data showed that diary writing improved students’ recount text, as seen in their score. These in terms of score, students’ improved from 71.96 to 76.03 and improving the motivation to the students which makes them eager to write also makes the teaching learning process better. In conclusions, students’ writing recount text of the tenth grade students of class IPS 1 of SMAN 4 Sungai Raya in academic year 2018/2019 improved by using diary.
Data Encoding and CNN Accurate Recognition of Human Body Motion

It is affected by many negative factors to recognize human motions accurately, such as the affecting of the light intensity during motion data collecting, the vagueness and transformation of the human motion features. To decrease the effect of these adverse factors and improve the accuracy of motion recognition, the following contents are investigated in this paper. Firstly, the human joint data collected by Kinect are preprocessed to overcome the illumination problem. Secondly, encoding methods are proposed to encode the preprocessed data, and then the encoded data are inputted into CNN to extract human motion features automatically, making the description of motion feature easier. Finally, the CNN completes motion classification with SoftMax. These experiments show the proposed algorithm can achieve a high recognition accuracy (most of the F1 values are larger than 0.8) and can adapt to different data settings; the compound property data are better than single property data in single property tests and the F1 value can be 0.916; the F1 values in compound property tests are smaller than those of single property tests and the maximal decrease percentage can be 25%.
Data visualization literacy: A feminist starting point

We assert that visual-numeric literacy, indeed all data literacy, must take as its starting point that the human relations and impacts currently produced and reproduced through data are unequal. Likewise, white men remain overrepresented in data-related fields, even as other STEM (Science, Technology, Engineeering and Medicine) fields have managed to narrow their gender gap. To address these inequalities, we introduce teaching methods that are grounded in feminist theory, process, and design. Through three case studies, we examine what feminism may have to offer visualization literacy, with the goals of cultivating self-efficacy for women and underrepresented groups to work with data, and creating learning spaces where, as Philip et al. (2016) state, ‘groups influence, resist, and transform everyday and formal processes of power that impact their lives’.
THEORETICAL ANALYSIS OF THE PROBLEM OF SOCIALIZING CHILDREN WITH HEALTH LIMITATIONS THROUGH THE INCLUSIVE EDUCATION SYSTEM

The development of society today has laid the groundwork for transition of relations between society and people with disabilities to a totally different level. On the one hand, it is reflected in the tendency to integrate people with developmental disorders into society, and on the other hand, in the tendency towards isolation of such persons from society. Integration is understood as the principle of compatibility of different social groups while preserving their characteristics and uniting them into a single community in which they interact on an equal basis.At present, the socialization process of people with disabilities is more complicated due to the fact that a specialized school or a closed type boarding school still remains the leading type of special educational institution. This circumstance artificially isolates children with disabilities from society, separates them from their families. Although children with disabilities in Ukraine are brought up and educated not only at home but also in boarding schools, boarding houses and correctional schools, none of these institutions solve the problem of social exclusion of children with disabilities from their peers. From the first days upon entering special institutions, the children begin to fall behind in development comparing to their peers. This is explained by the severity of the intellectual impairment that the child has. That is why, to a large extent, persons with disabilities have the right to study in a general educational institution, the main task of which is to integrate them into life and create conditions for compensation of disorder taking into account not only biological but also social factors. Such education is called inclusive or inclusion.
Deep morphological gradient for recognition of Arabic alphabets

The recognition of Arabic handwritten characters by deep learning algorithms has experienced a remarkable movement in the last three years. This change can enrich the field of optical character recognition (OCR). We present in this project a deep morphological gradient for the handwritten characters recognition problem of the Arabic language based on a multilayer perceptron architecture (MLP) preceded by the morphological gradient algorithm to detect the outlines of the alphabets. This model is applied to the database of Arabic manuscript characters available on Kaggle which consists of 16,800 images. The classification accuracy of the model was 99.9% with a very minimum loss of 0.3%.
IMPROVING STUDENTS VOCABULARY BY USING BACK TO THE BOARD GAME AT NINTH GRADE OF ISLAMIC JUNIOR HIGH SCHOOL NURUL YAQIN BANYUATES SAMPANG

The research focuses on some specifics problems; the researcher formulates the research problem are: (1) How is the implementation of back to the board game which can improve the students’ vocabulary at ninth grade of Islamic junior high school NURUL YAQIN Banyuates Sampang in Academic year 2018/2019? (2) How is the improvement of the students’ vocabulary by back to the board game at ninth grade of Islamic junior high school NURUL YAQIN Banyuates Sampang in Academic year 2018/2019? The researcher uses classroom action research. Classroom action research is aimed to reveal the students’ real problem in a classroom. The researcher takes the data from class A of ninth grade students of SMPI Nurul Yaqin Banyuates sampang. In the pre-test there were 5 students from 19 students who passed the KKM. And in the post test 1) there were 10 students who passed the KKM from 19 students, and in the post test 2) there were 15 students who passed the KKM. There were improvement of post test 1 and post test 2. The cycle will be successful if 80 % students get minimum score of 70. After calculating the pre-test and post-test score, it showed that the mean score of pre-test 45,74 and the mean of post-test 74,95. So the researcher didn’t need the next cycle because based on the result of test, the result score that 15 students have reached the minimum criteria
LibGuides: Online Resources For Music Study: Find Primary Sources

Subscription and open-access content for the study of both applied and academic music studies. A guide to historical resources for music research on the worldwide web.
HarrellGuides: How Do I Teach Remotely with Zoom?: Uploading Your Recorded Video

A guide intended for helping users learn how to schedule and start a Zoom meeting, invite participants, and save and upload recorded sessions
The Investigation Study on the Status of Chinese Culture Communication in English Teaching

English is a universal language in the world, and English learning is taken very seriously throughout the country, as is China. At this stage, people pay more attention to English teaching than to mother tongue learning. For this reason, this article starts with the importance of disseminating Chinese culture in English teaching, investigates and analyzes the current situation of Chinese cultural dissemination in English teaching, and explores measures to strengthen the dissemination of Chinese culture.
A Light Weight Stream based Encryption Unscrambling Convention in Mobile Cloud Computing

Mobile and its applications have a go reformed the sortie in which we store and offer lead. It is be pliant into a regulation center of custom oddball data. Insufficiently, a complete quota of these information are heap up out in a decoded arrangement, inclined to affix dangers. In this mixture, we in force a unimportant, computationally adept erection, ostensible Guise, for the stall phone. Cover up depends on run become available and takes the grant-in-aid of an far salver for the era and infringing of pseudo-arbitrary number. Therefore as to beautify the mooring of our association, we bear the assurance of in proportion central cryptography. We realized pair adaptations of the fitting alluded as s-Screen, r-Camouflage d-CLOAK, disagreeing based on the key choice technique. In CLOAK, the center encryption/ unscrambling obligation is rank principal the cell phones to pin information at its birthplace. The security of CSPRN is permanent utilizing misleading technique. In CLOAK, encircling messages are traded dependable centre of untaxing and the server with shared character check. We examine CLOAK on Kind innovative non-static phones and enumeration Colossus Web administrations for producing CSPRN. Additionally to, we tangible invasion review and altercate ramble the uncultured skills belligerence.
Meet Cynthia Rudin A Champion of Interpretable Machine Learning

Cynthia Rudin is a professor of Computer Science, Electrical, and Computer Engineering, and Statistical Science at Duke University, where she directs the Prediction Analysis Lab. She previously hel...
Madde Bağımlılığı İle İlgili Türkçe İnternet Sitelerinin Okunabilirliğinin Değerlendirilmesi

Objective: The aim of this study was to examine the readability of Turkish websites containing information about (SA) according to the Atesman and Bezirci-Yilmaz readability formulas and to evaluate the content of these websites. Method: A search was performed in November 2019 by typing the word substance addiction in Google's search engine (https://www.google.com). We evaluated the websites on the first 15 pages of Google's search engine results. Commercial websites, advertisement websites, chat websites, forum websites, magazine websites, websites containing only images or videos, and websites with less than 10 sentences were excluded from the study. The average number of syllables, average number of words with 4 or more syllables, and Atesman and Bezirci-Yilmaz readability values were calculated. Results: The average number of syllables and average number of words with 4 or more syllables were respectively 2.90±0.10 and 4.31±1.37. The mean Atesman and Bezirci-Yilmaz readability values were respectively 46.03±11.67 and 14.04±4.12. Conclusion: The readability of Turkish websites containing information about SA was difficult according to the Atesman readability formula and at undergraduate level according to the Bezirci-Yilmaz readability formula.