Reviewerly/exHarmony huggingface dataset:
Collections Data, Tools, and Strategy: Applying R, Tableau, and Excel to Print Assessment

As is the case at most academic libraries, collection assessment has become an essential component of collection management and development work. Although much of the assessment focus has disproportionately fallen on e-resources, print collections remain fruitful areas for evaluation and review. At Emory, print collections, including a complex approval plan, continue to be a significant component of our overarching collection strategy (in volume and expenditure). However, shifting priorities for library space and the growth of interdisciplinary programs and centers within the University are placing a higher demand on subject librarians for communication and coordinated decision-making regarding print acquisitions. As a result, we are currently preparing for a comprehensive print collection review, of which the approval plan is an integral component. This assessment will inform a more coherent print strategy, which effectively and efficiently meets research and teaching requirements as well as administrative needs. Using data cleaning and visualization tools, such as R, Excel, and Tableau, we have enriched our local usage data with detailed Gobi approval data (e.g., series, publisher, subject, etc.) and profile parameters. Merging these data types and enriching local use data will allow us to analyze the print collection in a more nuanced fashion and ask questions that do not require the LC classification framework. This analysis considers the development of additional tools and approaches that facilitate subject specialist communication with collection management and overall collaborative decision-making, especially in cross disciplinary areas.
The Importance of UAE Strategic in Archiving entity Knowledge

This research paper aims to explain importance of Archive Management (AM), Knowledge Management (KM), and Strategic Planning (SP) in the United Arab Emirates (UAE) government entities. To understand the subject clearly, the researchers have analyzed of the existing literatures and official websites. The study showed the UAE's interest in knowledge and documentation as archiving strategic, which necessitates the existence of strategic plans in the government entities to plan archiving with the government entities
Identification of Author Profiles Through Social Networks

The aim of this paper is to compile dictionaries of slang words, abbreviations, contractions, and emoticons to help the pre-processing of texts published in social networks. The use of these dictionaries is intended to improve the results of the tasks related to data obtained from these platforms. Therefore, a hypothesis was evaluated in the task of identifying author profiles (author profiling).
SISTEM PAKAR PENENTUAN MINAT DAN BAKAT EKSTRAKURIKULER SISWA

Education is the main capital in a human's life because education is something that has been emphasized at an early age. Education is not only limited to general subjects but there are also more specific ones such as extracurricular activities that are followed by students in schools. Most students too often follow extracurricular activities not of their own volition but on the basis of following friends or because parents' orders are not of interests and talents so that ineffective extracurricular activities at school. the students. Expert system is a system that seeks to adopt human knowledge into computers, so that computers can solve certain problems by imitating the work of experts Expert system in determining student interests and extracurricular talents helps teachers and students determine the right extracurricular activities for students based on students' interests and talents. . Forward chaining method is a search technique that starts with known facts. This system uses the forward chaining method to determine the right extracurricular activities for students. Web-based is an application that can be accessed via the internet or intranet, the current technological advancements make users inseparable from the internet. So it has become a necessity in this world.
Clinical Applicability of Deep Learning for Organ-At-Risk Segmentation in Radiotherapy Planning

Cancer is one of the most common ailments of humanity and the second most prominent death cause in the developed world. With the predicted increase in the cancer burden, there is a rising need for automation in cancer therapy. Radiotherapy is one common treatment modality and requires the delineation of anatomical structures for planning purposes. With the rise of deep learning, new automatic contouring methods have been developed. This thesis aims at providing evidence for the validity of these methods in clinical practice and investigates the usability of third-party provided tools. The research was conducted by using large multi-institutional data sets for the female breast and pelvis as well as the male pelvis. Further, two multi-institutional studies were performed to evaluate the quality of a deep neural network for the segmentation of organs-at-risk of the female breast and the male pelvis. Further, the generalizability of a deep neural network towards patients from other hospitals was evaluated. We show that the clinical acceptability of segmentation by the deep neural network for the male pelvis is equivalent or better than for segmentations stemming from clinical practice. Further, we show that the average contouring time for the delineation of both breasts and the heart can be reduced from approximately 20 min to 3 min by using the developed deep neural network. Additionally, we show that a third-party provided model for female breast, female pelvis and male pelvis can readily be used for structures with well defined anatomical borders, while a hospital-specific model performs better for the breasts. This thesis gives evidence that deep neural networks can be used in a clinical setting and, with a few exceptions, deep neural networks from a third-party provider can readily be adopted by a hospital.
How internet voting could help to make more votes count

Trials for online voting have been introduced in a handful of countries, and the evidence for whether it can improve access to voting and turnout is still sparse. However, looking at the case of Geneva canton, Micha Germann argues that there is a potential further benefit: online voting platforms can be designed to help voters avoid inadvertent ballot errors, and so reduce ‘lost votes’.
Digital technology in the context of social science teaching at secondary schools

The goal of the study is to contribute to the problem in hand regarding the insufficiently developed digital competencies of teachers of social scientific subjects within the secondary education. The solution to it is based on a precondition that if the teachers will not be digitally competent they will not be able to develop the digital competence of students. This fact can negatively affect their ability to find employment at the labour market of the 21st century, preparedness to further professional education and ability to participate at the lifelong learning. The text at issue solves the problem of digital technology integration into teaching of social sciences, emphasizes multidisciplinary approach to the humanities, social and technological sciences, presents the need of development of teachers´ technical thinking relating to social scientific subjects and specifies common features and differences of the pedagogical and technological sciences. The study is the actual output of the project TAČR (PID: TL 01000192, in the period 02/2018 – 02/2021). It is based on the sub-chapter ”Integration of the digital technology into teaching of social sciences” that will be embodied in the currently prepared monograph “Development of teachers´ digital competencies relating to social scientific subjects at vocational schools”.
QoS Enabled Task Scheduling Approach in Cloud Computing as Per Service Level Agreement

Due to constraints along with profit margins in background, service provider’s sometime neglect to feed essential services to their respective clients. Such compulsion raises the demand for efficient task scheduling that can meet multiple objectives. But without any prior agreement, again makes a casual approach. So this dispute can be addressed when competent scheduling executes right over the Service Level Agreement. It acts as hotspots to define set of rules to assure quality of service. At this time, there is a huge demand of SLA opted scheduling that can produce profitable results from provider’s and client’s as well. This article presents a fundamental approach that can be applied to existing scheduling techniques on the fly. Result shows drastic improvement in terms of average waiting time, average turnaround time without comprising provider’s cost margin at all along with fairness.
CLUSTERING ANALYSIS WITH AVERAGE LINKAGE METHOD FOR GROUPING PROVINCE IN INDONESIA BASED ON WELFARE INDICATORS

The high level of social inequality in Indonesia is a problem that must be resolved immediately. High social inequality will result in an increase in social tension which also impacts on the high level of conflict and crime in society. The problem of social inequality can be solved by accelerating the welfare distribution program by the government. The provision of this program must be fair and adapted to the conditions needed by each region. This is because each region has different causes of welfare problems. Therefore, in providing the program, the government must have a priority scale on welfare issues in an area that can be done using a mathematical method in the field of statistics, namely cluster analysis. This study aims to obtain, analyze and interpret the results of grouping provinces in Indonesia based on indicators of people's welfare. As many as 34 provinces in Indonesia as objects will be grouped based on 20 variables related to people's welfare. The grouping is done using the Hierarchy Method, the agglomeration grouping procedure with the Average Linkage technique and the size of the Euclidean Distance. From the clustering algorithm, it was found that from 34 provinces in Indonesia grouped into 5 clusters namely Cluster 1 consisting of 24 members namely Aceh Province; North Sumatra; West Sumatra; Riau; Jambi; South Sumatra; Bengkulu; Lampung; Head of Pacific Islands; Riau Islands; West Java; Central Java; East Java; Banten; West Nusa Tenggara; Central Kalimantan; South Borneo; East Kalimantan; North Kalimantan; North Sulawesi; Central Sulawesi; South Sulawesi; Southeast Sulawesi; and Gorontalo. Cluster 2 consists of 1 member, DKI Jakarta Province. Cluster 3 consists of 2 members including DI Yogyakarta and Bali Provinces. Cluster 4 consists of 6 members including East Nusa Tenggara Province; West Kalimantan; West Sulawesi; Maluku; North Maluku; and West Papua. Cluster 5 consists of 1 member, Papua Province. Based on the comparison of the average value of each cluster, the five clusters are sorted based on their level of welfare, namely: Cluster 3 as a very good cluster, Cluster 2 as a better cluster, Cluster 1 as a good cluster, Cluster 4 as a pretty good cluster and cluster 5 as a less good claser. Keywords: Cluster Analysis, Average Linkage, People's Welfare
Enhancing customers' knowledge and decision making using augmented reality

Augmented reality has seen massive success in recent years as it provides an opportunity for a seamless and rich user interaction with the real world Recent studies have shown augmented and virtual reality can play a significant role in the future of retail Innovations can help customers make good choices and can improve their confidence and satisfaction in their purchasing decisions It also reduces the physical interaction between customers and store especially during lockdowns (i e during pandemics such as COVID-19) This paper presents ARiel, an augmented reality application for mobile commerce (m-commerce), enabling customers to turn catalogued items into 3D animated models It was developed using Google's ARCore platform Customers can try on products such as jewellery or watches using their mobile phones without being physically present in the retail shop Data about their purchasing decisions are logged in a database We describe the process of designing and implementing ARiel and the outcome of an evaluation using Nielsen's ten usability heuristics We also outline our plan for future work © ICCE 2020 - 28th International Conference on Computers in Education, Proceedings All rights reserved
A Contingency Theory of Representational Complexity in Organizations

A long-standing question in the organizations literature is whether firms are better-off by using simple or complex representations of their task environment. We address this question by developing a formal model of how firm performance depends on the process by which firms learn and use representations. Building on ideas from cognitive science, our model conceptualizes this process in terms of how firms construct a representation of the environment and then use that representation when making decisions. Our model identifies the optimal level of representational complexity as a function of (a) the environment's complexity and uncertainty and (b) the firm's experience and knowledge about the environment's deep structure. We use this model to delineate the conditions under which firms should use simple versus complex representations; in doing so, we provide a coherent framework that integrates previous conflicting results on which type of representation leaves firms better-off. Among other results, we show that the optimal representational complexity depends more on the firm's knowledge about the environment than it does on the environment's actual complexity.
Investigating the English language needs of Statistical Department Students of IST AKPRIND Yogyakarta

The objective of this study was to investigate the English language needs of Statistical Department of IST AKPRIND Yogyakarta. 50 fourth and sixth semester Statistical students, the head of the department, 2 subject specialists and 4 alumni took part in this study. Data collection tools were questionnaire and interviews guide. This study followed qualitative and quantitative method. The findings showed most students studied English for having basic communication skills needed in the workplace. The result also showed speaking and reading skills became the main focus on studying English. Those two skills had a significant effect on their academic performance in content subjects and future jobs. In addition, the most important English language sub skills were listening to lectures, performing academic presentations, reading journal articles, reading textbooks and writing summary. The problems in listening were speakers speak too fast, unfamiliar words and lack of activity using English. Problem with pronunciation was encountered in speaking. Understanding general information of the text and finding specific information were the main problems in reading. The main problems in writing were vocabulary and construct good sentences with correct grammar. The students liked discussion and presentation as teaching and evaluation method. It is hoped those findings would be the basis for designing a suitable course that meet students’ needs.
Penggunaan Cartoon Story Maker (CSM) dalam Pembelajaran Maharah Istima’: Apakah Efektif?

The purpose of this study was to determine the effectiveness of using cartoon story makers in improving the listening ability of students in the tenth grade. The type of research used is quantitative-experimental. Participants in the study were 69 students in grade ten. Data collection techniques using tests, scores and documentation. The results showed that the normality test and homogeneity test of the pre test and post test in the experimental class and control class were normally distributed and homogeneous. So that the hypothesis testing in the pre test and post test leads to the independent test sample t test. The results obtained from the independent test sample t test, the significance value obtained is 0.000 <0.05, so it can be concluded that there is a significant difference between student learning outcomes using the cartoon story maker and without using the cartoon story maker. So the use of cartoon story makers is more effective in improving the listening skills of tenth graders .
CONCEPTUAL AND CATEGORIAL ANALYSIS OF INTEGRATION OF SCIENTIFIC RESEARCH AND EDUCATIONAL ACTIVITY OF FUTURE TEACHERS OF MATHEMATICS

The urgency of problem is caused by need to resolve contradiction between requirements for improving quality of professional and pedagogical training for future mathematics teachers by forming and integrating their educational and research activities at a high level as well as by insufficient interpenetration and integration of these activities in educational process of a higher educational institution. The purpose of article is to raise problem of integrating main activities of future mathematics teachers in course of their personality-centered training, refining and concretizing definitions of such concepts as the educational activity of future mathematics teacher, the scientific research activity of future mathematics teacher, the integration of educational and scientific research activity of future teacher of mathematics .
The Legal Framework on Hate Speech and the Internet Good Practices to Prevent and Counter the Spread of Illegal Hate Speech Online

Hate speech includes all forms of expression which spread, incite, promote or justify hatred towards a person or group. The expansion of the Internet has marked an important change in the phenomenon, insofar as content is no longer mediated by editors. Hate speech based on ethnic, racial and religious hatred is recognized as a violation of the human rights set out by the European and international standards. This is not the case for sexist hate speech, although this difference is not justified by the data. The lack of a shared regulatory definition leads to shortcomings in, or even the complete absence of victim protection. Gender equality and freedom of expression are interconnected: enabling hate speech against women and girls to go unpunished limits women’s freedom of information and deprives society of their voices. The balance must be struck by finding the tools for free speech. An overview of such tools is the goal of this contribution.
Learning Predictive Communication by Imagination in Networked System Control

Dealing with multi-agent control in networked systems is one of the biggest challenges in Reinforcement Learning (RL) and limited success has been presented compared to recent deep reinforcement learning in single-agent domain. However, obstacles remain in addressing the delayed global information where each agent learns a decentralized control policy based on local observations and messages from connected neighbors. This paper first considers delayed global information sharing by combining the delayed global information and latent imagination of farsighted states in differentiable communication. Our model allows an agent to imagine its future states and communicate that with its neighbors. The predictive message sent to the connected neighbors reduces the delay in global information. On the tasks of networked multi-agent traffic control, experimental results show that our model helps stabilize the training of each local agent and outperforms existing algorithms for networked system control.
E-Commerce on Cloud: Opportunities and Challenges

In recent years, cloud computing has changed the way we think about IT. Cloud computing terms means virtualized computer network. It still is in infancy. Cloud computing provide fast and secure data storage. It is mostly used to sell hosted services through application to operate client server at a remote location. The term E-commerce means electronic marketing. It changed the traditional way of business marketing. It provides flexibility through online and in that cloud computing will help to business activities.
An Introduction of the Strategies of Active Learning Classes in Japanese Language Education

This study examines the important points of learner-centered education. It focuses on the introduction and operation of a new teaching and learning method, active learning. Active learning has been introduced and operated in PBL and SRL in {Business Japanese} classes. As a result, it was confirmed that the learners' educational satisfaction level increased and that it was quite effective in class. Additionally, a standard model for rubric evaluation that was based on both PBL and SRL class operations was presented. As a result, {in Business Japanese} it seems to have helped learners to improve both their problem-solving abilities and convergence thinking abilities. Finally, in this study, four proposals and future tasks for active learning (AL) practice are introduced. In the future, I plan to revise and improve the Rubric evaluation model to be even more suitable for the subject through the PBL-based {Business Japanese} class practice. I hope that the results of this study will be helpful in the practice of active learning classes and for the development of future standard models for classes in Japanese language department subjects.
Design Of Chimney Filter In Wet Scrubber Model On Public Health Center's Incinerator For Reducing The Amount Of Emission Air Pollutants

From this activity, it is obtained that either infectious waste or noninfectious waste is 0,3 mᶟ/ day.This experimental research was conducted.Result, 1) chimney filter in wet scrubber model through water spraying in 3,2 liter/minute could reduce emission air pollutants of SO2 gas and CO gas to be below the quality standard of emission air, but it had not been able to reduce NOx gas and the particulate to be below the quality standard value. 2) through water spraying in 4 liter/minute could reduce emission air pollutants of SO2 gas and CO gas to be below the quality standard of emission air, but it still had not been able to reduce NOx gas and the particulate to be below the quality standard value. 3) through water spraying in 5,6 liter/minute could reduce emission air pollutants of SO2 gas and CO gas to be below the quality standard of emission air, but it still had not been able to reduce NOx gas and the particulate to be below quality standard value.Conclusion, chimney filter in wet scrubber model through water spraying in 3,2 liter/minute, 4 liter/minute, and 5,6 liter/minute could reduce emission air pollutants of particulate, SO2 gas, NOx) gas, and CO gas