Reviewerly/exHarmony huggingface dataset:
A Green Approach Towards Hybrid Cloud Operability

With increase in demand of technology and orchestration, the cloud computing can be seen on trail now days in respect of almost every field. But due to the advancement and growth of clouds, there has been an indiscriminately increase in power consumption because of data centers hosting, In fact Cloud applications consume huge amounts of energy, contributing to high operational costs and carbon footprints to the environment. And moreover existing and new technologies and tools are leveraged to realize these classes of variability. This paper proposes a new approach to reduce energy utilization in data centers with an optimization of clouds application through hybrid clouds. Further, we cover architectural principles to follow during the design of flexible cloud applications and we introduce an abstract architectural pattern to enable data variability. To increase the number of customers, a flexible application design is of major importance. It enables customers to adjust the application to their individual needs in a self-service manner.
Perancangan Sıstem Informası Penjualan dı Unıon Jaya

The current modern era is an era that is very dependent on network and internet, one of the benefits is to provide convenience, especially for MSMEs ( Micro, Small, and Medium EnterPrises), Company located behind padang called Union Jaya is one of them, they still use book to record all their transactions so that the data is invalid and cannot be used as a reference for store development. So this practical work aims to help Union Jaya companies to manage data, cash register systems, and valid report, this website is designed using a PHP program and then impelemented according to the company’s criteria, this website is expected to be able to ease the owner’s handle the store and provide references, especially when owner taking business decisions for the future and can be a solution for other PkM.
Dialogism Meets Language Models for Evaluating Involvement in CSCL Conversations

The use of technology as a facilitator in learning environments has become increasingly prevalent with the global pandemic caused by COVID-19. As such, computer-supported collaborative learning (CSCL) gains a wider adoption in contrast to traditional learning methods. At the same time, the need for automated tools capable of assessing and stimulating collaboration between participants has become more stringent, as human monitoring of the increasing volume of conversations becomes overwhelming. This paper introduces a method grounded in dialogism for evaluating students’ involvement in chat conversations based on semantic chains computed using language models. These semantic chains reflect emergent voices from dialogism that span and interact throughout the conversation. Our integrated method uses contextual information captured by BERT transformer models to identify links in a chain that connects semantically related concepts from a voice uttered by one or more participants. Two types of visualizations were generated to depict the longitudinal propagation and the transversal inter-animation of voices within the conversation. In addition, a list of handcrafted features derived from the constructed chains and computed for each participant is introduced. Several machine learning algorithms were tested using these features to evaluate the extent to which semantic chains are predictive of student involvement in chat conversations.
Machine Translation in Foreign Language Writing: Student Use to Guide Pedagogical Practice

The recent advent of more powerful machine translation (MT) tools has significant implications for foreign language teaching and learning. While current research and pedagogical guidelines on MT in the foreign and second language classroom have focused primarily on survey data, less is known about how students actually use MT tools. The current article chronicles a computer tracking study of novice learners of French as a Foreign Language (n=26) as a way to inform this field of research. Drawing on diverse data sources (screen-recorded observations, retrospective recalls, post-interviews) and a Critical Incident Technique analytical approach, the article showcases the actions and cognitive processes related to MT that both supported and hindered student participants in their foreign language writing. Supportive behaviors and mindsets centered on a specific awareness of MT tool limitations paired with appropriate action while detrimental behaviors and mindsets centered on inappropriate input, lack of output analysis, and time. Suggestions for how these use-based findings might inform how MT is discussed in the language classroom conclude the article.
The role of crowding in mental maze solving

Studying peripheral vision requires sufficiently complex stimuli and well-defined tasks. Here for this purpose, we explore the use of mental maze solving -- tracing a path through a maze without a pen or a finger. Mental maze solving involves both cognitive and perceptual processes and can provide a controlled environment to study visual crowding, a well-known limiting factor in peripheral vision. The task requires observers to make a series of eye-movements and combine multiple views of the maze into a stable representation, which could then enable observers to decide where to look next. In the current study, we investigated visual crowding by measuring maze solving performance as a function of maze appearance, recording eye-movements, and modeling the results. Human observers solved a series of 2D mazes while we recorded the time to solve each maze and eye-movements. The perceptual features of mazes were manipulated to alter the level of crowding in each maze (i.e., path thickness, visual complexity). Experiments 1&2 showed that observers were faster at solving mazes with thinner and less-complex paths, suggesting visual crowding is a significant factor in determining maze solving performance. In Experiment 3, we tested whether a crowding model (The Texture Tiling Model; TTM) can predict fixation allocation during maze solving. Observers were slower and made a larger number of eye-movements while solving crowded mazes, as predicted by TTM, although TTM underpredicts the number of fixations. To examine this underestimation tendency, in Experiment 4, we tested whether observers could detect targets placed on/off the maze paths near the model fixation locations. Preliminary data suggest that observers were over 70% accurate in detecting targets, even though targets were located on average 2.7 times farther than their fixation locations. These findings suggest visual crowding as a significant factor in mental maze solving.
Deep Learning for Document Layout Generation: A First Reproducible Quantitative Evaluation and a Baseline Model

Deep generative models have been recently experimented in automated document layout generation, which led to significant qualitative results, assessed through user studies and displayed visuals. However, no reproducible quantitative evaluation has been settled in these works, which prevents scientific comparison of upcoming models with previous models. In this context, we propose a fully reproducible evaluation method and an original and efficient baseline model. Our evaluation protocol is meticulously defined in this work, and backed with an open source code available on this link: https://github.com/romain-rsr/quant_eval_for_document_layout_generation/tree/master.
SELF-EDUCATION AS CONDITION OF SOCIAL INDEPENDENCE AND INDEPENDENCE OF PERSONALITY

It is investigational as in a modern cultural situation a self-education gives an opportunity to social independence and independence of personality. It is marked that the modern system of education is oriented to activity of personality, on independence in the choice of subjects and time of mastering of information. It is shown as a democratic type of organization of self-education deprives personality of dependence and allows to go out her on the new level of spiritual freedom in realization of creative potential.
ENTREPRENEURSHIP AND ECONOMIC GROWTH NEXUS IN NIGERIA: MODERATING EFFECT OF INSTITUTIONAL QUALITY: ARDL COINTEGRATION APPROACH

This paper explores the relationship between entrepreneurship and economic growth in Nigeria: the moderating role of institutional quality. To accomplish this, the study employs an Autoregressive distributed lag (ARDL) from (2002Q1–2019Q4) and uses a moderator model to examine the impact of entrepreneurship on economic growth via institutional quality. The resilts show that institutional quality in Nigeria has a positive impact on economic growth. The results also indicate that the interactive effect of institutional quality and entrepreneurship has positive effect on economic growth in Nigeria both in the short-run and long-run. The study illustrate that the productive entrepreneurship is a potent vehicle for promoting long term economic growth in Nigeria. In general, unless institutional quality is introduced to improve the influence of entrepreneurship on economic growth, entrepreneurial activity alone may not lead to desired growth. Furthermore, the study presents a perspective of the role of government in establishing an enabling environment that promotes entrepreneurial activity and, as a result, enhances economic growth in Nigeria. Based on this finding, the study recommends for the implimantation of measures and policies aims at encourageing productive entrepreneurial activities that contribute to economic growth. In addition Government and policymakers should improved the quality of institutions such as improving Government Effectiveness, Political Stability and Absence of Violence, Voice and Accountability, Regulatory Quality, Rule of Law and Control of Corruption. KEYWORDS: Economic growth, Entrepreneurship, Moderating, Institutional quality.
PENINGKATAN HASIL BELAJAR IPS MENGGUNAKAN PETA KONSEP PADA SISWA KELAS IV SD NEGERI 015 RAMBAH T.P 2014/2015

Learning improvement research has been carried out with the title Efforts to Improve Social Learning Outcomes Using Concept Maps for Students in Class IV Semester II SD N 015 to Increase 2014/2015 Academic Year. To find out the social studies learning outcomes in grade IV SD N 015 Spread the research conducted in March d. April 2014. The subjects of this study were 18th grade students as many as 18 people consisting of 8 men and 10 women. Parameters measured are student learning outcomes including absorptive capacity and learning completeness obtained from post test and Daily Test, student learning activities and teacher activities. Results of Daily Repetition Before Improvement with an average of 64.2 with sufficient categories, UH in the first cycle averaged 74.4 in the Good category, UH in cycle II averaged 80 with good categories. Completeness of student learning before improvement 9 (50%), 15th cycle I (83.3%), only achieved classical completeness in cycle II, namely 16 (88.9%). Student activity, reading textbooks, working on LKS containing concept maps, presentations and responding to presentation results, asking questions and answering questions. The activeness percentage of the first cycle was 83.3 in the Very Good category, in the second cycle it increased to 88.9 in the excellent category. Teacher activity also experienced an increase in cycle I on average 85 with excellent categories, cycle II on average 95 with excellent categories. From the results of the study it can be concluded that the use of concept map strategies can improve students' social studies learning outcomes in grade IV semester II SD N 015 reaching 2014/2015 academic year
Developing High Performance Secure Multi-Party Computation Protocols in Healthcare: A Case Study of Patient Risk Stratification

We demonstrate that secure multi-party computation (MPC) using garbled circuits is viable technology for solving clinical use cases that require cross-institution data exchange and collaboration. We describe two MPC protocols, based on Yao's garbled circuits and tested using large and realistically synthesized datasets. Linking records using private set intersection (PSI), we compute two metrics often used in patient risk stratification: high utilizer identification (PSI-HU) and comorbidity index calculation (PSI-CI). Cuckoo hashing enables our protocols to achieve extremely fast run times, with answers to clinically meaningful questions produced in minutes instead of hours. Also, our protocols are provably secure against any computationally bounded adversary in a semi-honest setting, the de-facto mode for cross-institution data analytics. Finally, these protocols eliminate the need for an implicitly trusted third-party honest broker to mediate the information linkage and exchange.
What works, and how can we make it fairer? Developing new guidance for contact tracing

As countries struggle to contain COVID outbreaks, contact tracing continues to be vital. Researchers from the Thai Ministry of Public Health, National University of Singapore, World Health Organisation and LSE explain how they have developed a new approach to assessing its effectiveness and share some early findings from Thailand.
UPAYA PENYEDIAAN INFORMASI MELALUI PENYUSUNAN DATA PRODUK PERTUNJUKAN

Bali Nusa Dua Theatre is an international theatre, classy and prestigious entertainment venue. The activities carried out by the company are doing an art performance with spectacular show that combines stage art, visual effects and sound systems, as well as dancers with various stage skills that are staged in the Bali Nusa Dua Theatre 4 times a week every Monday, Wednesday, Friday, and Saturday. The service program was carry out through the compilation of a data product performance. The method used in the activities of compiling the product data in Bali Nusa Dua Theatre is by conducting assistance and socialization. Compilation of product data in Bali Nusa Dua Theatre has been successfully carried out through assistance in compiling a product data by recording the types of product, names of dancers and dance studios of dancer.
SADA: Improved Data Symbolization and Optimization Method on HAR from Microscopic Perspective

Nowadays, human activity recognition(HAR) becomes a hot topic with broad applications.Some researches have conducted HAR from microscopic perspective and achieved good results.In this article, two methods are proposed for further improvement.Firstly, an improved symbolization method with stacked sparse autoencoder is proposed for better data symbolization.Secondly, an improved multi-classification Adaboost is proposed to further optimize the recognition effect, and it is more suitable for the application scenario of this article.In the experiments section, firstly, e xperiments a nd a nalysis about various influencing p arameters a re c onducted, t hen comparison experiments with several new or representative methods are carried out, and finally five representative sensor activity datasets(UCI Sports and Daily dataset, Wisdm Phoneacc&Watchacc dataset, Skoda dataset, HAPT dataset) are used to prove the universal applicability and achieve satisfactory effect.
LibGuides: OHSU Digital Collections: Preparing the Metadata

Everything you need to know about submitting works to OHSU's institutional repository What you need to do to appropriately prepare the metadata describing you and your work for submission to the OHSU Digital Collections.
Penerapan Metode Forward Chaining Untuk Mendeteksi Perbedaan Print Digital Dan Sablon

Screen printing is a design pattern that can be painted, cut, or cut according to the example. At this time the use of digital printing techniques is being loved and is starting to be widely used and applied in various things. With these two methods, there is a difference in price and print results between screen printing and digital printing. Both methods have their respective advantages and disadvantages. Therefore, it is necessary to compare and see the difference between screen printing and digital printing. The purpose of this research is to see the differences as well as the advantages and disadvantages between digital printing and screen printing. The method used in this research is the Forward Chaining method. The Forward Chaining method is a search method or forward tracking technique that starts with existing information and combines rules to produce a conclusion or goal.
A Study to Assess the Prevalence of Anemia and Knowledge Regarding Anemia among Adolescent Girls of Selected Schools of Gurugram, Haryana

Background: Anemia is a major nutritional health problem in developing countries like India because of poor dietary habits and malnutrition.The prevalence of anemia is inordinately higher among adolescents as they are signalized by marked physical activity and rapid growth spurt; therefore they need additional nutritional supplements and are at utmost risk of developing nutritional anemia. Materials and Methods:A quantitative research approach with descriptive Research design was adopted for the study.A total of 86 adolescent girls studying in Vinay public school, Gurugram, Haryana who met the inclusion criteria were selected using total enumerative sampling technique.The tools consists of demographic variables, knowledge questionnaire and Sahli's hemoglobinometer to assess the knowledge and prevalence regarding anemia.Reliability of the tool was established by Cronbach's alpha method and it was found to be 0.84Ethical permission was obtained from ethical committee SGT University and the written informed consent was taken from each participant before administering the tool Results: Findings of the present study revealed that majority 81% adolescent girls have poor level of knowledge followed by 19% adolescent girls have moderate level of knowledge regarding anemia.Overall prevalence and knowledge regarding anemia has range value varied from of 3-16 with mean 9.8 and standard deviation 2.88.The area of residence had significant difference on knowledge score regarding anemia in adolescent girls when P value is ≤ 0.05. Conclusion:Knowledge level affects the prevalence rate of anemia in adolescent girls.Majority of adolescent girls have poor level of knowledge.Most of adolescent girls fall under moderate category of anemia.
Kepentingan Pembangunan Taman Rekreasi Awam di Parit Raja, Batu Pahat

The development of public recreation area is one of the facilities that need to be provided by the Local Authority (PBT) for the community of a city. Public recreation park is a recreational area that focuses on the society for recreation activities and relaxation either with family members, friends or individually.  The case study area, Parit Raja is one of the small towns under Batu Pahat Municipal Council, which has a growing population but does not have any recreational facilities provided specifically for its residents. Implementation issue in the development of public recreation park and its importance to the locals is seen as significant to justify the need for its provision in Parit Raja. In this regard, this study’s objectives are to identify current issues related to the development of public recreation park in Parit Raja and to study the importance of developing public recreation park for residents in Parit Raja, Batu Pahat, Johor. This study applied quantitative and qualitative approach through interview and survey as the instruments. This study identifies the current situation of recreational facilities in Parit Raja, especially in terms of preparation and issues regarding the development of public recreation park in the study area. Lastly it concluded the importance of providing reacreation area for the local community of Parit Raja.
DEVELOPMENT OF INDUSTRY RECOMMENDATION PROJECT-BASED LEARNING MODEL ON VOCATIONAL HIGHER EDUCATION

The abstract should summarize the contents of the paper and should contain at least 70 and at most 200 words. It should be set in 9-point font size, justified and should have a hanging indent of 2-centimenter. There should be a space before of 12-point and after of 30-point.
Naïve Bayes Klasifikasi untuk Rekomendasi Strategi Promosi Tindakan pada Aesthetic Dental Clinic Karawang

Aesthetic Dental Clinic is one of clinic in Karawang. To keep old patients and attract new patients visiting Aesthetic Dental Clinic, it is necessary to develop a new marketing strategy in promotion. The metodh of data mining classification can be used to help determine promotional strategies to attract customers. The Naive Bayes algorithm can be helpful to predict customer interest based on promos given by the ADC Clinic (Aesthetic Dental Clinic). The Naive Bayes algorithm is a data mining classification algorithm that can be used to support an effective and efficient promotion strategy. The result of this research is the application of the data mining algorithm, namely Naive Bayes, which can provide important information such as prediction results in an effort to attract customer interest. The data used in this study is customer data from October 2020 - November 2020. The accuracy value generated by Naive Bayes using Rapid Miner was 31.74% and the result of kappa value was 0.183. With the accuracy value obtained, it is hoped that it can help to support promotional strategies that have an impact on the effectiveness and efficiency of promotions and can increase the number of new customers.
TatWordNet: A Linguistic Linked Open Data-Integrated WordNet Resource for Tatar

We present the first release of TatWordNet (http://wordnet.tatar), a wordnet resource for Tatar. TatWordNet has been constructed by the combination of the expand and the merge approaches. The synsets of TatWordNet have been compiled by: (i) the automatic conversion of concepts of TatThes, a socio-political Tatar; (ii) semi-automatic translation of synsets of RuWordNet, a wordnet resource for Russian with the followed manual verification and correction; (iii) manual translation of base RuWordNet synsets; (iv) and manual translation of the all hypernyms of the previously translated RuWordNet synsets. The currents version of TatWordNet contains 18,583 synsets, 36,540 lexical entries and 49,525 senses. The resource has been published to the Linguistic Linked Open Data cloud and interlinked with the Global WordNet Grid.
Assessment of Strategic Messages Communicated for Sustainable Solid Waste Management: A Study of Migori County, Kenya

Solid waste management has become great concern for governments and cities due to its effects on health, environment and climate change. The aim of sustainable solid waste management (SSWM) is to achieve circular economy and realize sustainable development goals. Communication plays a significant role in empowering communities with knowledge, influencing behaviour and promoting collaboration on waste management between governments and communities. Past research shows indiscriminate dumping of waste and inadequate knowledge on how to manage solid waste including reduce, reuse and recycle waste among communities in Africa. However, there is limited focus in research on messages communicated for SSWM. This study sought to assess strategic messages communicated for SSWM and media used in the communication. The study conducted in Migori county Kenya, using a mixed methods approach involved a total of 399 town residents sampled using purposive, stratified, and simple random sampling techniques. The study found lack of focus on strategic messages for SSWM in the communication by Migori county government. Communication is uncoordinated, conducted in public meetings, local radio, and by waste management supervisors. Most community members lack knowledge on SSWM practices. The study recommends communication of strategic messages for SSWM to improve community knowledge of SSWM; communication using participatory media accessible to the community; and inclusion of community knowledge in the construction of strategic messages for SSWM. Keywords: Strategic, Message, Sustainable Solid Waste Management, Community, Participatory Communication. DOI: 10.7176/NMMC/97-02 Publication date: August 31 st 2021