Reviewerly/exHarmony huggingface dataset:
Availability of Library Resources and Services in Environmental Information System (ENVIS) Center Libraries in South India: A Study

The paper is an attempt to clearly exhibit and examine the availability of both print and electronic resources and listed out the traditional, electronic and web based services offered by the ENVIS center libraries in South India. The findings of the study show that 8 (47.05%) ENVIS libraries received financial assistance from the State Government &amp; Central Government. It is noticed from the study all most all the ENVIS center libraries are having all type of collection to cater to the needs of scientists and at the same time all the ENVIS center libraries offered the library services like circulation service, reference service, new arrivals alert service and newspaper clipping service and new arrivals alert services through e-mail, e-Newspaper slipping and social networking (Twitter, WhatsApp, Face book, LinkedIn) and web based information services. Majority 15 (88.23%) of libraries have built their library collections in both print and electronic format.
End-User-Driven Approach for Regulatory Compliance in the Public Cloud

Regulatory compliance is equally binding on small and medium business groups. Owing to the small scale and limited budget, such SMBs are unable to seek expert advice. To adequately guard the SMBs in regulatory compliance, the present work proposed a third-party managed-end user-driven approach that renders the list of regulatory acts applicable in one's case according to the country of one's residence, services subscribed, and type of the operations to be carried out in subscribed cloud paradigm. The list of applicable regulatory acts are rendered at the subscriber's end only. In addition, the proposed method notifies the present state of compliance of under-considered cloud providers. Based on the recommendation received, the subscriber can proceed with his decision to subscribe or not to subscribe in the event if desired compliances do not exist. This technological assistance will eliminate the need to possess the required knowledge in regulatory acts or seeking advice from the regulatory expert.
국내항공사 내국인 승무원의 국가별 고정관념이 외국인 승무원과의 응집력에 미치는 영향 : 일본, 중국 및 우즈베키스탄을 중심으로

The purpose of this study is to investigate the impact of stereotypes on emotion and cohesiveness when domestic flight attendants perform in-flight duties with foreign crew from various cultures. In order to prove this carried out survey for 266 airline cabin crews and were analyzed by using SPSS version 21.0 and AMOS version 21.0 program. As a result, it was found that there are differences between countries in recognizing the characteristics of other cultural crews through stereotypes of each member. In addition, although the different characteristics of stereotypes of different countries have had a direct and indirect effect on cohesiveness, sincerity has had a direct effect on cohesiveness in all countries. Therefore, in order to solve these problems, the company will train domestic attendants to develop their cultural capacity. We will need to induce more attention and engagement of minority personnel, such as training programs.
SISTEM INFORMASI PENERIMAAN PESERTA DIDIK BARU (PPDB) BERBASIS WEB PADA SMK PERTIWI

Computer-based information systems are now an indispensable thing for today's needs. Many  fields have utilized computer-based information systems as a means to facilitate work. The  acceptance process of new learners is still a lot that uses conventional system, so prospective  new learners sometimes difficult to do the registration process. To be able to solve the problems  that occur in the acceptance of new learners is established this information system. PPDB  online  Information  System  will  make  the  implementation  of  PPDB  more  transparent,  accountable, and accommodating. Schools can reduce, even eliminate the cheating-fraud that  occurs in the implementation of PPDB manually. Thus, there will be no other parties who feel  dissatisfied or harmed .
Directions in Synthetic Data Development

In this chapter, we outline the main directions that we believe to represent promising ways to further improve synthetic data, making it more useful for a wide variety of applications in computer vision and other fields. In particular, we discuss the idea of domain randomization (Section 9.1) intended to improve the applications of synthetic datasets, methods to improve CGI-based synthetic data generation itself (Section 9.2), ways to create synthetic data from real images by cutting and pasting (Section 9.3), and finally possibilities to produce synthetic data by generative models (Section 9.4). The latter means generating useful synthetic data from scratch rather than domain adaptation and refinement, which we consider in a separate Chapter 10 .
한국어교육을 위한 대조언어학의 회고와 전망

As part of the work for Korean language education as applied linguistics, this study looks at the changes in contrastive linguistics. In other words, we intend to reassess contrastive linguistic from new approaches, such as cognitive approaches to overcome the limitations of contrastive analysis, corpus-based contrastive linguistics studies that can objectively verify contrastive analysis hypotheses, Contrastive Interlanguage Analysis(CIA), conceptual transfer and the conceptually-based contrastive analysis based on it. In particular, it should not be overlooked that the need for conceptual transfer patterns reflecting society and culture has been required recently. Learning a language requires an understanding of the culture associated with the language in addition to understanding the language itself, and attention should be paid to the way in which the members of society who use the language express the thoughts shared. We show examples of the concept transfer of Korean learners. In addition, with this retrospect on contrastive linguistics, exploring the path of contrastive linguistics from a future-oriented perspective is another purpose of this study. We need to research on crosslinguistic influence across multiple languages such as L3 or more.
COMPUTER BASED ASSESSMENT SYSTEM FOR EVALUATING SUBJECTIVE QUESTIONS

With the increase in the number of students in our tertiary institutions coupled with the number of courses offered in the various universities, the management of examination processes has become more complex in terms of resources, time and manpower. This has resulted to the rapid adoption of a computerized means of conducting examinations instead of the traditional pen and paper. However, this computer-based technique currently used in our tertiary institutions in assessing students’ examination handles only the multiple choice questions (MCQ). This paper therefore is aimed at designing and implementing a simplified algorithm that assesses subjective (descriptive) type questions. Keyword and synonym matching techniques were used as the method for creating the simplified algorithm for the assessment of the subjective answers. The algorithm was designed using the Unified Modeling Language. The application was built in the NetBeans IDE version 8.2 with Java as the main programming language. Spring Boot Framework with Thymeleaf View Engine was used as the Web development Framework. MySQL was used for the database while HTML, CSS and JavaScript were used for building the web page interface. For the synonyms, grammar and spell checking, Merriam-Webster Dictionary API and Language Tool API were used. A prototype system was consequently developed, tested and various results shown.
Availability-Aware Multi-Objective Cluster Allocation Optimization in Energy-Efficient Datacenters

With increasing network virtualization, data centre's workloads are modified in depth to serve various service-oriented applications, often defined by a time-bound service response, which, in turn, places a heavy demand on data center networks. Network virtualization in computing is the technique of integrating network resources and network functions in hardware and software into one virtual network, the software-based administration entity. Number of people ask for the server simultaneously, thereby slowing down the service.It is so costly to buy a new server that we developed a virtual system by creating a virtual system. With a trend to increase the number of cloud apps in the datacenter. There are numerous physical machines (PMs) linked via switches in the datacenter. Hardware PM resources for adaptable and elastic computing capabilities are usually shared via virtualization technology. Usually a cloud application is implemented in a virtual cluster that includes many virtual machines which occupy PM resources on request.
Research and Practice of Third-order Progressive Talent Training Path Based on Innovation Ability Training

Based on the integration of industry and education, taking the cultivation of innovative ability of higher vocational electromechanical students as the research object, the school and enterprise cooperate to educate together, through the innovative training idea of strong classroom consciousness, creative development, community experience, post seeking effect, transformation and promotion , To explore the comprehensive development of equipment manufacturing industry and regional economic development of moral, intellectual, physical and labor complex innovative talent training path for students to become creators on campus, innovation in enterprise posts, use of achievements to start a business, to achieve a new breakthrough.
TECHNOLOGIES OF PEDAGOGICAL DESIGN AS A TOOL FOR TRAINING MANAGERS IN GOAL SETTING WHEN PLANNING THE ACTIVITIES OF A PRESCHOOL EDUCATIONAL INSTITUTION

The article describes theoretical and practice-oriented aspects of applying pedagogical design technologies while setting the system of goals for a preschool educational institution. Based on the difficulties experienced by managers in activity planning for a preschool educational institution, the authors have substantiated and revealed technological aspects to train managers to set the goals applying the principles of R. Gagné, SMART technology, the author's technique of “5 indicators” as the most accurate and productive tools of pedagogical design that ensure the efficiency of the educational process.
Sistem Pakar Penyakit Ginjal Berbasis Web

We all know that Health is important and expensive, to maintain the health of our bodies we need to take care of the organ in our body one of them is the kidney. The kidneys function to filter and remove toxins in the blood. There are still many people who don't care about their kidney health because most people do not have any symptoms until kidney disease enters an advanced stage. The medical world is increasingly using computers to assist diagnosis for prevention and treatment of a disease. One of them is the utilization of an expert system. This study aims to create an expert system that will be used to independently diagnose kidney disease without having to go to the hospital. and also aims to avoid contact with others during a pandemic.
Fumigating Quality of Service and Data Confidentiality in Cloud with Message Digest 5 Algorithm

With help of cloud stockpiling, data proprietors can remotely store their data without having the weight of neighborhood data stockpiling and upkeep. Be that as it may, this likewise have numerous security concerns. One among them is the uprightness of data put away in the cloud. Shared data in the cloud shows a one of a kind test as assets are conveyed, making it hard to know where the client data is found and who has admittance at a given time. Conventional approach includes a Third Party Auditor (TPA) who recover whole data from cloud for data honesty confirmation by checking the rightness of marks. We propose a system, wherein clients can produce labels before transferring their data. The data is then scrambled utilizing Advanced Encryption Standard calculation and put away in cloud at the supervision of the TPA. The execution of various reviewing assignment concurrent is conceivable. With the assistance of Message Digest 5 calculation, data deduplication is likewise refined alongside secrecy. In our technique, clients just require a solitary key for decoding, which makes framework operations to be efﬁcient paying little respect to the intricacy of framework.
Technique for Removing Unnecessary Superimposed Patterns from Image using Generative Network

A technique for removing unnecessary patterns from captured images by using a generative network is studied. The patterns, composed of lines and spaces, are superimposed onto a blue component image of RGB color image when the image is captured for the purpose of acquiring a depth map. The superimposed patterns become unnecessary after the depth map is acquired. We tried to remove these unnecessary patterns by using a generative adversarial network (GAN) and an auto encoder (AE). The experimental results show that the patterns can be removed by using a GAN and AE to the point of being invisible. They also show that the performance of GAN is much higher than that of AE and that its PSNR and SSIM were over 45 and about 0.99, respectively. From the results, we demonstrate the effectiveness of the technique with a GAN.
TEACHER SOFT SKIILS UNDER DISTANCE LEARNING CONDITIONS

The article reveals the relevance of the problem under study, clarifies the key concepts, indicates the role and importance of distance learning, highlights the distinctive features and advantages of distance learning. Particular attention is paid to information technology, didactic materials, and electronic textbooks. The authors believe that it is necessary to take into account the positive and negative role of the digital environment, its influence on the socialization of the individual, as well as the purposeful and systematic pedagogical support of the training, upbringing and socialization of the individual.
ARTISTIC AND CREATIVE POTENTIAL IN THE PRACTICE OF FUTURE MUSICIANSPERFORMERS TRAINING

The article clarifies the meaning of the concept of “artistic and creative potential”, highlights the problematic issues of its development and significance in training of future performers of music profile, substantiates the effectiveness of this process in the practice of the modern music school.
Automated Essay Evaluation using Chart Parser

Essays help in assessing academic excellence and linking various ideas with the ability to recall.Evaluating essays manually is a tedious and time consuming job.Automated grading shall reduce the evaluation time and with appropriate training, would generate a realistic and accurate score.We aim to develop an automated essay evaluation system by employing a regressor, fed with features like count of misspelt words, sentences, words, characters, nouns, verbs, adverbs, adjectives, and lemmas.Sentences are checked for grammatical correctness using a custom built parser.The regressors are trained on the enlisted features and then measured for the performance.Various regressors like Linear, Logistic and Random Forest have been employed and observed to select a model with the best performance for use.
Why Not W

In an extensional setting, 𝚆 types are sufficient to construct a broad class of inductive types, but in intensional type theory the standard construction of even the natural numbers does not satisfy the required induction principle. In this paper, we show how to refine the standard construction of inductive types such that the induction principle is provable and computes as expected in intensional type theory without using function extensionality. We extend this by constructing from 𝚆 an internal universe of codes for inductive types, such that this universe is itself an inductive type described by a code in the next larger universe. We use this universe to mechanize and internalize our refined construction.
The Influence of Speech Therapy In Improving Oral Language Skills of Deaf Children At SLB Tanah Bumbu

Deafness is a hearing impairment that is not functioning optimally. They need a therapy ,these therapies is speech therapy. The research objective was to determine the influence of speech therapy in improving the oral language skills of deaf children. The research method used a queasy experiment with a pre and post test design without control. The samples were 7 students. The instruments used SOP of speech therapy and 20 questions to measure the oral language skills of deaf children. The intervention was carried out 12 times face-to-face. The univariate results showed that before speech therapy the average oral language skills of children with hearing impairment a value of 40,00, then after speech therapy was 12 times face-to-face the average to be 78,14. Multivariate analysis using repeated measure ANOVA p-value 0.000 (p<0.05) it meant that there was an influence of speech therapy in improving the oral language skills of deaf children.
ALGORITHM COLLECTION OF TEXT DATA IN THE KAZAKH LANGUAGE

This work is devoted to the creation of a system for the automatic collection and processing of open data in Kazakh from Internet resources, and bears practical significance in the tasks of collecting and analyzing text. The introduction substantiates the relevance of the chosen topic, a review of existing approaches, formulates the objectives of the study. We consider such a problem as the collection and primary processing of text data with subsequent analysis. Data collection is a priority, since open data from Internet resources is not structured and needs to be processed. The authors provide a system for processing web pages of Kazakh-language portals, and also gives practical application of this approach to real data of open resources using the created system. The approach of indexing documents using features is presented. The system will help structure open data from Internet resources, as well as analyze collected data. Practical results are presented
Modeling, listening, analysis, and computer aided composition

The main objective of this short paper is to present results and a computational modeling process as a tool to aid musical composition.These results are related to the composition of the piece "Intermezzi and Capriccio" from a Fantasia, an ensemble of piano solo pieces worked from a cross analysis of the first Intermezzo of Johannes Brahms' Four Pieces for Piano Op. 119.In this way, the musical analysis I propose aims to compositional results, which in turn guides, the analysis itself.In this sense, the objective is not that of an analysis and modeling in order to reconstruct an original, but of analysis and modeling that allows it to unfold into new objects.
Scania Dc12-Dt12 Sound [1.37]

This is my first mod ever with FMOD, I basically converted EVR’s Scania R420 sound to 1.37. You can perfectly use it with Krichbaums DC13 and DC16 v8 ...
Architecture and basic conditions for organizing video hosting based on a p2p-network

The paper discusses the principles of developing a software package based on a distributed registry (proprietary blockchain) for performing applied tasks within a decentralized video portal. Such structure is concerned to distribute of user-generated content, implying the principles of “reverse economy” that suggest to reward proactive users of the service via sharing advertising revenue of the video portal amongst all participants in the advertising chain.
Social distancing meets mediated conversation

In this introduction to the Mediated Conversation minitrack of HICSS, the co-chairs discuss a theme that draws together the six papers that constitute this year's minitrack, and that represents the central role of mediated conversation in a world dominated by the COVID-19 pandemic. © 2021 IEEE Computer Society. All rights reserved.
Motion predictability and sickness

Although the effect of motion predictability on motion sickness seems common knowledge, relevant literature is scarce. We therefore performed two experiments. In Experiment A, 17 subjects were exposed to 15 minutes of repeated forward/backward motions on a linear sled, repeated within subjects in three ways: 1) using identical motions interrupted by equal standstills, 2) using randomly reversed motions interrupted by equal standstills, and 3) using identical motions interrupted by semi-randomly varied intervals of standstill. In Experiment B, 20 subjects were exposed to similar motion in which both temporal and directional factors varied. Within subjects, this profile was presented in two ways: 1) each motion being preceded one second ahead by a sound-clip telling “forward” or “backward”, and 2) the same cues presented during the motion. Sickness was rated using an 11-point misery-scale. Experiment A revealed no difference between the two unpredictable conditions, which gave 52% higher sickness ratings than the predictable condition. Experiment B revealed that audio cues preceding such unpredictable motion may then reduce sickness ratings by 17%. We conclude that 1) unpredictability of motion increases motion sickness, which effect, 2) can be decreased by adding a cognitive cue preceding an otherwise unpredictable change of motion. © 2020, Driving Simulation Association. All rights reserved.
Penerapan model pembelajaran kooperatif tipe group investigation untuk meningkatkan pemahaman konsep kegiatan ekonomi pada peserta didik kelas IV sekolah dasar

The purpose of the research is to improve of concept comprehension on economy activity by applying cooperative learning model type Group Investigation . The subjects were IV grade students of SDN 02 Gedongan in academic year 2018/ 2019, totaling 20 students. This research was a classroom action research which was held in two cycles. There were four stages in each cycle, which was planning, action, observation, and reflection. The data collection techniques were interviews, observations, tests, and documentation . D ata analysis techniques, interactive analysis models and comparative descriptive statistics. Data validity using source triangulation and technical triangulation. Results research to show that average class on preaction class score is 51,55 with 0 % classical completeness. Then class average value increased in cycle I to 71,42 with 42,11 % classical completeness, and in cycle II increased again to 79,55 with 84,21 % classical completeness. Based on results research, can concluded that application of cooperative learning model type Group Investigation can improve of concept comprehension on economy activity on the IV grade students of SD Negeri 02 Gedongan in academic year 2018/ 2019. Keywords: concept comprehension, group investigation model, economy activity, elementary School
Passenger Screening using Deep Learning and Artificial Neural Networks

In this research, we have to detect the contrabands hidden in the human body's scanned images at airport security machines using segmentation and classification. Present algorithm of security scanning machines at the airports of USA are producing high rate of false negatives which in cases lead to engage in a secondary, manual screening process that slows everything down. So to resolve this problem and to improve the detection of contrabands, new and efficient algorithm need to be made.
HetSeq: Distributed GPU Training on Heterogeneous Infrastructure

Modern deep learning systems like PyTorch and Tensorflow are able to train enormous models with billions (or trillions) of parameters on a distributed infrastructure. These systems require that the internal nodes have the same memory capacity and compute performance. Unfortunately, most organizations, especially universities, have a piecemeal approach to purchasing computer systems resulting in a heterogeneous infrastructure, which cannot be used to compute large models. The present work describes HetSeq, a software package adapted from the popular PyTorch package that provides the capability to train large neural network models on heterogeneous infrastructure. Experiments with language translation, text and image classification shows that HetSeq scales over heterogeneous systems. Additional information, support documents, source code are publicly available at https://github.com/yifding/hetseq.