Reviewerly/exHarmony huggingface dataset:
Transformation Of Librarian As Knowledge Manager In Big Data Era

Processing big data is complicated caused by its complexity like the quantity of data, the various data format in various representations, and very fast data changes. Librarians are challenged to be able to exploit the potential of big data, they are challenged to analyze and extract knowledge from the data to easily understood and used by users because knowledge is the most important asset and greatest competitive advantage of many organizations. So, the librarian should to improve their skills and be creative to keep up with the new environment. One of the things that can be done by librarians is to strengthen its function as a knowledge manager. This study aims to know how the role of librarians as knowledge managers in the era of big data and what skills needed to be a knowledge manager in the big data era. The study was conducted by a literature review from various sources. The analysis was done descriptively qualitatively based on the sources of literature obtained. The results of the study show the skills that must be possessed as follows: IT skills, literacy, technical and analytical skills, extract, filter and disseminate vital external knowledge, communication skills, advocacy, create, record and store information effectively -strategic planning ability and use information tools effectively. Keywords: Big data, librarian, knowledge management, digital ecology.
HOW PRIVACY IS THREATENED FROM SOCIAL MEDIA COMMUNICATION?

The users of social media sites are exposed to different attacks from criminals, who try to steal their personal information, their privacy and cookies from sites. These attacks can also be used against e-government applications using personal credentials taken from social media. In this paper, we explain how the privacy of users is threatened form criminals in social media networks. We demonstrate the causes of privacy leaks along with real online social networks. Furthermore, we illustrate the privacy considerations such as Anonymity, un-observability, un-linkebility and intractability. Finally, we study the classification of social media attacks which are classified to three categories that are Identity Theft/personal information attacks, Spam attacks and Malware attacks. Also, we explain the common attacks for each category. Moreover, we clarify the effective countermeasures against each attack that goal is to protect personal information of users. For instance, Identity Separation approach is used against De-Anonymization attack while Spam Filtering/Blocking Software approach is used against Simple Spam attack.
ONE: Toward ONE model, ONE algorithm, ONE corpus dedicated to sentiment analysis of Arabic/Arabizi and its dialects.

Arabic is the official language of 22 countries, spoken by more than 400 million speakers. Each one of this country use at least on dialect for daily life conversation. Then, Arabic has at least 22 dialects. Each dialect can be written in Arabic or Arabizi Scripts. The most recent researches focus on constructing a language model and a training corpus for each dialect, in each script. Following this technique means constructing 46 different resources (by including the Modern Standard Arabic, MSA) for handling only one language. In this paper, we extract ONE corpus, and we propose ONE algorithm to automatically construct ONE training corpus using ONE classification model architecture for sentiment analysis MSA and different dialects. After manually reviewing the training corpus, the obtained results outperform all the research literature results for the targeted test corpora.
The Role of Professors' Intellectual Stimulation for Intellectual Growth among Chinese Students Who Study in Korea : The Moderating Effect of Growth Need Strength

Professor’s role is one of various ways to improve students' academic achievement. Professors can be role models for students, motivate them to achieve higher performance, and have various influences on them. Therefore, depending on professor's role, students' attitudes and behaviors may be different, and their academic achievements may also be different. In this regard, this research focused on the intellectual growth that can be regarded as Chinese students' academic achievement. Thus, the importance of professor's intellectual stimulation behavior was emphasized and it was clarified as a way to improve the intellectual growth. Furthermore, students with a higher level of growth need strength, they are more likely to have higher intellectual growth because they put a premium on their self-growth. In order to increase the influence of professor's intellectual stimulation, we focused on the student's growth need strength. Thus, this research examined the moderating effect of growth need strength between intellectual stimulation and intellectual growth. The results showed that intellectual stimulation improved intellectual growth. In addition, growth need strength positively moderated the relationship between intellectual stimulation and intellectual growth. Therefore, it suggested the implications that professors should behave appropriate behavior according to students’ personal characteristics.
Configuration of Lampung Mental Clause: a Functional Grammar Investigation

A mental clause demonstrates a configuration of a senser, mental process, and phenomenon and it performs processes of sensing through five senses and thinking. Dealing with this configuration, this research is aimed at patterning mental clauses in Lampung language. Furthermore, this research is supposed to be an alternative way to preserve this endangered language. To have natural and real lingual phenomena, data were taken from two sources; a part of cultural ceremony called ‘Pepancokh’ (it is a session where someone will perform a musical poetry) and six lesson books of Lampung language. It is found that Lampung mental clauses perform three types of mental process; they are perceptive, affective, and cognitive. Perceptive configuration deals with five senses (such as nengis, ngedengi, diliyak, ngebaca), while affective configuration defines feeling(such as gering, cadang hati, suka). Besides, a cognitive configuration construes process of thinking (for examples bupiker, bayangko, ngegampangkon). It is also found that mental process is also formed through affixation process. Keywords: affective, cognitive, desiderative, mental process, perceptive
Las TIC una competencia de enseñanza y aprendizaje para mejorar el proceso en la Docencia Universitaria

With the vertiginous and accelerated development of ICT, these have favorably impacted, among other factors, education, allowing this process to be more dynamic, serving to cement the competencies that will allow the student to have the skills and abilities and face the challenges of tomorrow. As previously stated, the teacher is called to be the facilitator in the educational process, who guides their students in the search for answers, when there are doubts and questions, which arise when previously addressing various digital resources such as readings, texts, videos, images, tutorials, virtual laboratories, web pages, simulations, mind maps, movies, podcast, infographics, blogs, among others; They contain information that makes students start making reflections and build their knowledge, based on critical thinking.
The Relevance of the Use of Mediation Technologies by Participants of Educational Relations of the Smolensk Region

The article reveals the possibilities of using mediation technologies in educational organizations. The paper presents the results of a survey of teachers of general education institutions in the city of Smolensk and the Smolensk region, which determine the relevance of the use of mediation technologies in resolving confl icts between participants in educational relations. An action plan for the development of a regional independent mediation system has been developed.
Secure And Influence Data Exchange Program For Mobile Cloud Computing

It is proposed that a hierarchical clustering strategy would help further search semantics to meet the interest in fast chip text search within a large data atmosphere. Furthermore, under two common threat models we analyze productivity and defense. One problem will be that the relationship between records is usually obscured when encrypting the files, which could lead to considerable loss in search accuracy. The data level has also risen rapidly in data centre. The architecture of cipher text search systems, which can efficiently and reliably retrieve data on the Internet, makes it even more complicated. The search performance, accuracy and safety should be tested by an experimental platform. The experiment result shows that the proposed architecture does not only correctly solve the multiple keyword rated searches problem, but also that there is a significant difference in efficiency of search, protection and relevance between the documents retrieved. This approach will achieve a straight-line computational complexity against an exponential growth in record selection during the search process. Due to the inadequate ranking, users must take a long duration to choose what they need while the demand keyword is held in huge papers. In order to check the accuracy of the search engine results, a framework known as the minimum hash sub-tree was built in this text, thus, order-making technology is used to achieve the grading process. In the ranking of privacy and importance of the records, the proposed way comes with an edge to the traditional form.
Pembingkaian Berita Penangkapan Ratna Sarumpaet Pada Kasus Penyebaran Berita Bohong

Hoaks news or hoax according to the big Indonesian dictionary (KBBI) is currently rife in the various media. Both the print media and online media. News of the sustainability of the hoax is increasingly out of control and a serious discussion in Indonesia that is interesting at this time is the news about the taking of Ratna Sarumpaet when spreading false news. The purpose of this study was to determine the framing of the arrest of Ratna Sarumpaet in the case of false news transfer on online media detik.com and kompas.com. Robert N. Entman where Entman sees framing in two large dimensions, namely the selection of sources and complementing or highlighting specific aspects of the dispute or issue itself. The subject of this research is detik.com online media and kompas.com with news text research objects from both media. Data obtained by researchers through library research, observation and documentation from various media. The results of this research that have been published by researchers show detik.com and kompas.com related to the arrest related to the arrest of Ratna Sarumpaet when spreading false news from 4-5 October 2018 with different views. Media detik.com frame the news into the realm of law by publishing Ratna Sarumpaet as the main actor through Kompas.com
EFFICIENT VIRTUAL MACHINE LOAD BALANCING USING CLOUD COMPUTING ENVIRONMENT

Cloud computing is designed to provide a scalable and low cost way to delivering on-demand IT resource services over the internet. Over a period of time cloud computing experienced  tremendous development . Nonethless, the economic model centered on  hardware and software demand  based on  technological requirements (CPU utilization, memory...) or strongly contributed to productive use of computer resources. Load balancing is therefore a crucial aspect of cloud computing. Cloud computing requires optimizing the efficiency of the various services provided by the cloud providers to minimize SLA infringement, i.e,.high degree of security, availability and responsivity. As cloud computing is growing increasingly and customers are demanding better performance and more services, cloud resource scheduling and load balancing has become a very interesting and significant research field .Therefore SLAs are emerging as an important factor between consumers and providers.In the existing algorithms there are drawbacks due to their single objective. But in this work, we are considering multiple objectives and multiple parameters for balancing load across virtual machine and to achieve less power consumption and reduce SLA violation.
Sistem Pakar Mendeteksi Kerusakan Pada Receiver Parabola dengan Menggunakan Metode Forward Chaining Berbasis Android

The purpose of this research is for the damage contained in the parabolic receiver using the forward chaining method and building an appropriate and accurate expert system application to provide information about the damage that is in the parabolic receiver. Sources of data were obtained by direct interviews with the owner of the workshop, ardi, whose address was Jl. Pabatu VI Village, Kec. Dolok Merawan, Kab. Serdang Bedagai, North Sumatra. The implementation of this application is in the form of an android application. The results state that it can be applied to damage to parabolic receivers using the forward chaining method which is caused by various kinds of problems that damage users of parabolic receivers so that this application can provide information on how to handle and how to prevent it, thus helping parabolic users in symptomatic symptoms and types of systems-types of damage. the symptoms experienced by users who receive a satellite dish
A Densely Connected UNet3D Network Combined Attention Mechanism for Liver and Tumor Segmentation

In recent years, liver cancer has become one of the five dangerous cancers due to the highest mortality ratios worldwide. Automatic tumor segmentation is a most important task to help radiologists and oncologists to analyze liver CT images. With the rapid development of Convolutional Neural Network (CNN), UNet2D have been widely applied in medical image segmentation. But 2D convolutions cannot extract more important spatial information, making it difficult for the network to learn powerful features between slices. In order to address the problems, we proposed a new densely connected UNet3D network combined attention mechanism (Att-DialResUNet3D) for liver and tumor segmentation. During coding and decoding stages, UNet3D used residual convolution with jagged structure blocks to decrease spatial hierarchical information loss. UNet3D applied an attention mechanism by using the long-range connections between the encoder and decoder to increase the ability of learning important information network. Dense connection decreases the gradient dissipation, and deep supervision can train the shallow layer more fully. We evaluated the proposed approach on the MICCAI 2017 liver tumor segmentation challenge (LiTS) dataset. Our approach preceded other research methods and has gained superior performance for liver tumor segmentation.
Subject Guides: Data: a Practical Guide: Searching for data

Final prototype for the Data practical guide. If you're searching for numbers, what's the best way to go about it? On this page we'll take a look at some data searching principles.
Las Tecnologías de la Información y Comunicación, competencias investigativas y docencia universitaria: revisión sistemática

The purpose of this study is to know the relationship of information and communication technologies, research and university teaching in their professional practice. A systematic review was used as a method, following the Prisma guidelines of the studies in Scopus and Scielo, including a total of 52 studies. The results categorically indicate that there are notorious deficiencies in the application of information and communication technologies in university teachers, which are reflected in the low scientific production. The systematic review concludes that universities should promote training, teachers should get involved in a network of contacts to improve these skills.
Niantic: Application Driven Consumer HMD Development

There is the vision that AR HMDs will replace smartphones, but while smartphones have expanded into many aspects of everyday life, they were phones first. Starting with the application is key to prioritizing hardware development and making trade offs consumers will value. In this talk, we will go over what Niantic is doing to connect hardware, content, and AR-ready consumers together to accelerate AR development.
LibGuides: ENGL 3050: Writing Pedagogy: Help

The purpose of this course guide is to provide research and library resources for ENGL 3050.
DIGITAL TECHNOLOGIES IN THE CONTENT OF EDUCATION OF RURAL SCHOOLCHILDREN

The aim of the study is the transformation of the content and methods of technological education of rural schoolchildren, with the consideration being given to the directions of agricultural development and the development of digital technologies. The article substantiates the relevance of including digital technologies into the educational curriculum for rural schoolchildren and the search for optimal pedagogical technologies to better introduce them. The scientific novelty of the research lies in the analysis of digital and intellectual technologies, which made it possible to determine the main directions for the development of the content of technological education, as well as in the development and substantiation of organizational and methodological solutions. The obtained results can be used in the process of designing the content and methods of teaching rural schoolchildren.
POSITION OF MEMES IN TROLLS: A LINGUISTIC ANALYSIS OF INTERNET TROLLS IN THE CONTEXT OF SCRIPT BASED SEMANTIC THEORY OF HUMOUR

- Internet trolls are the most innovative yet hilarious side of the virtual world where tech savvies tryout their creativity. Society has reached the point where there exists no boundaries between humanworld and virtual reality. This lack of distinction between the two worlds has enabled technology to intrude even in the language of homo sapiens. In addition to the oral and written form of language they have invented a new sign system to communicate in a morerelaxed manner likethe lingos of internet,emojis,stickers and memes. Though it has been invented for entertainment purpose, the acceptance of internet trolls even in the official sectors inspires man to exert much energy in creating, sharing and understanding memes. Since Internet trolls have grown large enough to deal with serious matters like politics and other social discourses, they reduce the space for alphabets and that space has been accorded to memes. But the presence of meme enabled trolls to present their ideas in more precise, effective and also in a hilarious way. This paper is an attempt to analyse the structure and nature of internet trolls in the context of humour. Using the Script Based Semantic theory, put forwarded by VictorRaskin, the nature and functions of words and memes in a troll text and different types of communication it contributesis analysed and studied.SSTH is perhaps one of the few theories to analyze the linguistic behaviour of humour texts. By delineating the various criteria put forwarded by the linguist for a humour text, each element in the internet troll can be identified,compared and contrasted with otherones in the same text. This paper also gives a short introduction to the origin and growth of the meme and how it expressesits linguistic natureas different from the status of a single short image,within a troll text, is also manifested here.
The triumph of doubt: Dark money and the science of deceptionDavid MichaelsNew York: Oxford University Press, 2020, 2 pp.

World Medical & Health PolicyEarly View Book Review The triumph of doubt: Dark money and the science of deception , Michaels, David , New York: Oxford University Press, 2020, 2 pp. Rachel Renbarger, orcid.org/0000-0001-8754-5510 Western Michigan UniversitySearch for more papers by this author Rachel Renbarger, orcid.org/0000-0001-8754-5510 Western Michigan UniversitySearch for more papers by this author First published: 08 April 2021 https://doi.org/10.1002/wmh3.432Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Early ViewOnline Version of Record before inclusion in an issue RelatedInformation
On the same page? Comparing inter-annotator agreement in sentenceand document level human machine translation evaluation

Document-level evaluation of machine translation has raised interest in the community especially since responses to the claims of “human parity” (Toral et al., 2018; L¨aubli et al.,2018) with document-level human evaluations have been published. Yet, little is known about best practices regarding human evaluation of machine translation at the documentlevel.This paper presents a comparison of the differences in inter-annotator agreement between quality assessments using sentence and document-level set-ups. We report results of the agreement between professional translators for fluency and adequacy scales, error annotation, and pair-wise ranking, along with the effort needed to perform the different tasks. To best of our knowledge, this is the first study of its kind.
Incorporação de tecnologias digitais nas estrategias de apoio à Renast-BA durante a pandemia da Covid-19

The main measures to prevent Covid-19 pandemic, such as social distance and isolation, implied the need to reorganize the work processes of health teams. The substitution of face-to-face activities with the use of digital information and communication tools enabled the reorganization of practices and the establishment of links, previously distant in the territories, ensuring greater participation, insertion and performance of health professionals within the scope of Worker’s Health Surveillance, mainly when facing Covid-19 in the state of Bahia. This study aims at describing the incorporation of digital technologies in the development of support and permanent education activities by the Worker’s Health Reference State Center, Worker’s Health Surveillance and Care Directorate for health professionals in the Worker’s Health Comprehensive Attention Network of Bahia in the context of the Covid-19 pandemic. Moreover, it was possible to expand the technical qualification of health teams on various topics of occupational health. The greatest impact achieved was the decentralization of occupational health actions in the state, transformations in practices and the opportunity for learning and exchange, with excellent professional contributions, in a period when traveling to the territories and face-to-face meetings were restricted to avoid agglomerations and exposure of workers.