Reviewerly/exHarmony huggingface dataset:
A survey on sentiment analysis in social media

We are living in an era where people use social networking sites like Twitter, Facebook, etc to share information over the internet. And Social media is arguably the richest source of human-generated text input. Opinions, feedback, and critiques provided by internet users reflect attitudes and sentiments towards certain topics, products, or services. The purpose of Text mining is to use this unformed or unstructured text data to locate trends, find the hidden pattern or sentiment. Thus, text mining and sentiment analysis have been the focus of research due to the increasing availability of opinion data on social networking websites. Different Machine Learning techniques were used to extract knowledge from the textual text. This survey paper focuses on different Machine Learning techniques used for sentiment analysis.
Software bundle for data post-processing in a quantum key distribution experiment

Quantum key distribution (QKD) is an innovative technology which has reached its threshold for commercial use. A growing number of research groups and companies around the world implement QKD experiments. For educational purposes, we present a post-processing software bundle for a QKD experiment carried out in our research group. The software manages the readout from a time-tagger, sifting, error correctionand privacy amplification of the exchanged key. For error correction, we employ LDPC codes with the sum-product decoding algorithm, provided by R. Neal. For privacy amplification, Toeplitz matrices are used. The software code can be found at: https://git.rwth-aachen.de/oleg.nikiforov/qkd-tools
Guides: Data Management for Researchers: Funding Agency Requirements

Managing, storing, and sharing research data List and description of funding agency requirements for data sharing
LITERATURE REVIEW: PENDIDIKAN TINGGI JARAK JAUH SEBAGAI MEDIA PENDIDIKAN ALTERNATIF DI INDONESIA

Digit a llearningiso n e ofthesupportingfactorsofeducation d istri b ution whichiscurrentlyamaj o r probleminInd o nesia,thisis a lsosupported b y I ndonesia'sgeog r aphicall o cationasanarchi p el a gowith1 3 ,487islandsand apopulationofaround 265millionw h ichcausesconstraintsin I ndonesia.Therefo r e,ittakesdigitallearningme d ia,namely distancelearni n g ( PTJJ)withe - Learning media.Stude n tscanaccessed u c ationins y ncronousoronlineinthefo r mofMOOC andLMS. Itisexpectedthated u c ationcan b es p readevenlyin I ndonesiawitheducationalco n tentthatcanbe a djustedfor educators.and s tudents.There s e archmethodu s edint h isarti c leisatraditionalrevie w .Thefirstpartoft h isarticleisan introductio n ,w h ichisaboutthe b ackgroundoft h eproblem.Int h esecondpartoft h ediscussion,t h issection d iscussesdistan ce educationasan alternativeed uc ationme d i um. N extinsectionth r eethat d iscussesresearchco n c l u sionsandsuggestionsfor furtherresearc h .Thepurpose o fthisart i cleistoanalyzethepro b lemand ap p lic at i on o f d istanceeducationusinge-learning as an alternativemediainIndonesia.Basedon t h eresultsoftheliteraturerevie w ,itisex p ectedto helprea d erstobeableto addinformationandbea b leto a pplye-learningasanalternativeinthefieldof di stanceeducatio n . Digit a llearningiso n e ofthesupportingfactorsofeducation d istri b ution whichiscurrentlyamaj o r probleminInd o nesia,thisis a lsosupported b y I ndonesia'sgeog r aphicall o cationasanarchi p el a gowith1 3 ,487islandsand apopulationofaround 265millionw h ichcausesconstraintsin I ndonesia.Therefo r e,ittakesdigitallearningme d ia,namely distancelearni n g ( PTJJ)withe - Learning media.Stude n tscanaccessed u c ationins y ncronousoronlineinthefo r mofMOOC andLMS. Itisexpectedthated u c ationcan b es p readevenlyin I ndonesiawitheducationalco n tentthatcanbe a djustedfor educators.and s tudents.There s e archmethodu s edint h isarti c leisatraditionalrevie w .Thefirstpartoft h isarticleisan introductio n ,w h ichisaboutthe b ackgroundoft h eproblem.Int h esecondpartoft h ediscussion,t h issection d iscussesdistan ce educationasan alternativeed uc ationme d i um. N extinsectionth r eethat d iscussesresearchco n c l u sionsandsuggestionsfor furtherresearc h .Thepurpose o fthisart i cleistoanalyzethepro b lemand ap p lic at i on o f d istanceeducationusinge-learning as an alternativemediainIndonesia.Basedon t h eresultsoftheliteraturerevie w ,itisex p ectedto helprea d erstobeableto addinformationandbea b leto a pplye-learningasanalternativeinthefieldof di stanceeducatio n .
Rate-and-State friction as a bulk visco-plastic flow law that includes generation, diffusion, and healing of distributed damage

&amp;lt;p&amp;gt;The rate- and state-dependent friction (RSF) laws (Dieterich, 1979, JGR; Ruina, 1983, JGR-SE) have been widely successful in capturing the behavior of sliding surfaces in laboratory settings, as well as reproducing a range of natural fault slip phenomena in numerical models.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Studies of exhumed fault zones make it clear that faults are not two-dimensional features at the junction of two distinct bodies of rock, but instead evolve into complex damage zones that show clear signs of multi-scale fracturing, grain diminution, hydro-thermal effects and chemical and petrological changes. Many of these observed factors have been experimentally verified, and several studies have furthered our theoretical understanding of earthquakes and other seismic phenomena as volumetric, bulk-rock processes, including Sleep (1995, 1997), Lyakhovsky and Ben-Zion et al. (2011, J. Mech. Phys. Solids; 2014, PAGeoph; 2014,&amp;amp;#160; J. Mech. Phys. Solids; 2016, GJI), Niemeijer, Chen, van den Ende et al. (2007, 2016, JGR-SE; 2018, Tectonophysics), Roubicek (2014, GJI), and Barbot (2019, Tectonophysics).&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;While the established numerical modeling approach of simulating faults as planar features undergoing friction can be a useful and powerful homogenization of small-scale volumetric processes, there are also cases where this practice falls short -- most notably when studying faults that grow and evolve in response to a changing tectonic environment. This is mainly due to the computational challenges associated with automating the construction of a fault-resolving conformal mesh.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Motivated by this issue, we formulate a generalization of RSF as a plastic or viscous flow law with generation, diffusion, and healing of damage that gives rise to mathematically and numerically well-behaved finite shear bands that closely mimic the behavior of the original laboratory-derived formulation. The proposed formulation includes the well-known RSF laws for an infinitely thin fault as a limit case as the damage diffusion length scale tends to zero. In contrast to previous theoretical work we focus only on a mathematical formalism that is used to generalize and regularize the existing RSF laws in order to retain close correspondence to existing experimental and numerical results. We will demonstrate the behavior of this new bulk RSF formulation with results of 1D and 2D numerical simulations, and hope to engage in a preliminary discussion of the physical implications.&amp;lt;/p&amp;gt;
Promising future health through dietary tracking apps: An ethnography of digital data-human assemblages

In the face of growing numbers of people living with chronic diseases, many public efforts are being undertaken to inform and educate ciFzens to take care of their health. Frequently,technological soluFons such as self-tracking apps play a crucial role in supporFng these efforts and raise hopes and promises. Both diet and physical acFvity are at the heart of iniFaFves and projects, both public and private, aiming at reducing the chances of developing cardiovascular diseases, diabetes etc. The self-monitoring of dietary intakes, food consumpFons and steps are at first sight among the simplest acFons to be carried out by ciFzens themselves. Geared towards facilitaFng individual self-regulaFon, dietary tracking offers many promises and many hopes are therefore pinned on them. Drawing from the observaFon and implementaFon of a project that aims at developing a socially acceptable digital receipt-based diet monitoring mobile health applicaFon, we present the ways in which promises of a beLer self are elaborated, performed and embedded in the collaboraFon between several actors. More specifically, we discuss how these collaboraFons contribute in legiFmising these promises and explore potenFal for intervenFon from an STS perspecFve. We wish to do this with the aim of shedding light on the role of science and, more recently, of the involvement of the social and human dimension of technology through the collaboraFons between both the designers and the users, and engineer sciences and social sciences in dealing with the uncertainty and fragility of the outcomes in relaFon to the use itself and the enhancement of health. Beyond human assemblages we also aLend to the digital data- human assemblages (Lupton, 2016) in the project we study.
Library: Using the SharePoint Mobile App: Support

This guide walks VDOT employees through the process of downloading the SharePoint Mobile App and accessing VDOT's new SharePoint Online site from any connected device. Need help with the SharePoint Mobile App?
PENYUSUNAN E-MODUL FISIOLOGI TUMBUHAN BERBASIS PENELITIAN

The development of the world education at this time can occur because of the advancement information technology that is utilized in developing every element of the science field. One of the use of information technology in education is the creation of instructional media or electronic teaching materials. Electronic teaching materials that can be developed in the form of electronic modules or e-modules. The preparation of this e-modul uses kvisoft flip book maker software. This study aim to develop e-modules of plant physiology based on research. The physiology e-module was tested by two expert validators with the results showing 84,37% from material experts and 95% from media experts which shows that the e-module can be used in the field with very good and valid qualifications. Keywoards: E-module, Plant Physiology, Kvisoft flip book maker
THE IMPORTANCE OF SEARCH ENGINE OPTIMIZATION FOR INCREASE RANKING FOR E-COMMERCE WEBSITES

to keep password users from creating simple and common passwords, major websites and applications provide a password-strength measure, namely a password checker. While critical requirements for a password checker to be stringent have prevailed in the study of password security, we show that regardless of the stringency, such static checkers can leak information and actually help the adversary enhance the performance of their attacks. To address this weakness, we propose and devise the Dynamic Password Policy Generator, namely DPPG, to be an effective and usable alternative to the existing password strength checker. DPPG aims to enforce an evenly-distributed password space and generate dynamic policies for users to create passwords that are diverse and that contribute to the overall security of the password database. Since DPPG is modular and can function with different underlying metrics for policy generation, we further introduce a diversity-based password security metric that evaluates the security of a password database in terms of password space and distribution. The metric is useful as a countermeasure to well-crafted offline cracking algorithms and theoretically illustrates why DPPG works well.
Software Copyrights: Licenses and Public Repositories

The present paper mainly explores about the copyrights in software and different types of specific license system names as Creative Commons on one hand and Free and Open-Source Software Licenses (FOSS) on the other hand, which may cater to different interests of the creators/authors and help them to decide that under which terms and conditions, their work or softwares can be licensed to third persons, without the fear of losing their credits. We have also discussed in brief about Software Repositories and leading repository provider Github, whereby people can store, access, modify, review, develop and share different kinds of files/software on the basis of different licenses available.
INCREASING VOCABULARY MASTERY OF VIII GRADE STUDENTS AT MTS. HAJI HAYYUN SALUMPAGA THROUGH VOCABULARY CARD

This research is pre experimental research design consist of one group pre-test and post-test. The Population of this research is the Eight grade of MTs. Haji Hayuun Salumpaga in 2016/2017 academic year. The sample of this research is selected by using purposive sampling technique and the selected class is VIII B consisted of 24 students. In collecting the data, the researcher took from pre-test and post-test. The researcher analyzed the data by using SPSS program 16,0 . The result of the test showed that the students’ mean score in posttest 88.58 is higher than pretest 44.42. To know the significant difference between pretest and posttest, the researcher compared the value of t-counted and t-table by applying 0.05 level of significance for two-tailed test with 23 degree of freedom (24-1=23), the researcher found that the t c o unt (11.956) is higher than t table (2.069) and the hypothesis of this research is accepted. The researcher concluded that using vocabulary card can increase students’ vocabulary mastery at Eight grade of MTs. Haji Hayyun Salumpaga. Keywords : Vocabulary Mastery , Vocabulary Card .
Obstacles to the application of the requirements of the technology of human performance to the principals in the State of Kuwait's schools and the proposed solutions

This study aimed at identifying the obstacles of applying the requirements of human performance technology among school principals in the State of Kuwait for the intermediate stage and the suggested solutions. The researcher followed the descriptive survey method. The sample consisted of 200 principals in public schools for intermediate level. In the Ahmadi Governorate in the State of Kuwait for the academic year 2018/2019.In order to achieve the objective of the study, the researcher developed a questionnaire consisting of (55) paragraphs distributed on the areas of obstacles to applying the requirements of human performance technology: the field of organizational obstacles, technical impediments, and the field of overcoming the constraints applied technology. The results of the study showed that the impediments to applying the requirements of human performance technology were high, and that there is a statistically significant relationship for all fields of study in applying the requirements of human performance technology due to gender variable and scientific qualification and experience. A positive statistical indication of the proposed solutions in the treatment of impediments to applying the requirements of human performance technology and that the relationship was positive.
Argumentation Mining in Scientific Literature: From Computational Linguistics to Biomedicine.

Comunicacio presentada al BIR 2021: 11th International Workshop on Bibliometric-enhanced Information Retrieval, celebrat l'1 d'abril de 2021 de manera virtual.
Spoken Language Understanding using Pretraining Technique

We have proposed a pre -training methodology for end-to-end SLU models and used datasets to show that our pre-training techniques improve performance for SLU training sets. The end-to-end SLU systems map speech directly to intent instead of taking the long, time consuming way of speech to text and text to intent mapping. For high accuracy, a large amount of training data is needed. We will try to reduce the data requirements of end-to-end SLU model. A new SLU dataset is introduced which improves performance both when the full dataset is used for training purposes and also when only a small subset is used. We also make additions to the model where new phrases are learnt by the model which is new and not trained to the model during the training phase.
Analisis Efektivitas Penerapan Aplikasi Dapodik Terhadap Sistem Informasi Pendataan Pendidikan Pada SMPN 1 Muara Telang

The Dapodik application system is a structured data collection system in education, where the use of the application system consists of managing school data, student data, and teacher or staff data. In running the dapodic application system, software and hardware are needed as well as humans as operators. The components above must be interconnected so that school administration activities can run well and smoothly. Therefore an analysis process is needed to see whether the components of the dapodic application system are running properly. This study aims to measure the level of effectiveness by analyzing the strengths and weaknesses of the application of the Dapodik Application System at SMPN 1 Muara Telang as well as improving variables with weak values so as to increase the effectiveness of the application of the Dapodik application. The method used in this research is the PIECES method or PIECES analysis (Performance, Information, Economy, Control, Efficiency, and Service). The results of this study are that all PIECES variables are categorized as effective so that it can be said that the Dapodic Application System of SMPN 1 Muara Telang is functioning well in facilitating education data collection in schools. The results of the calculation of the average amount of the Dapodik Application System obtained the value of the effectiveness level of each PIECES variable, namely the Performance variable with an average effectiveness result of 4.05, the Information variable with an average effectiveness result of 4.22, the Economics variable with average results. -Effectiveness average 3.96, Control and Security variables with an average result of 4.02 effectiveness, efficiency variables with an average effectiveness result of 3.94 and Service variables with an average result of 4.08 effectiveness. All the results of these calculations are categorized as EFFECTIVE, namely the Dapodik application system plays a good role in facilitating the education data collection system at SMPN 1 Muara Telang.
StegaPos: Preventing Crops and Splices with Imperceptible Positional Encodings.

We present a model for differentiating between images that are authentic copies of ones published by photographers, and images that have been manipulated by cropping, splicing or downsampling after publication. The model comprises an encoder that resides with the photographer and a matching decoder that is available to observers. The encoder learns to embed imperceptible positional signatures into image values prior to publication. The decoder learns to use these steganographic positional (stegapos) signatures to determine, for each small image patch, the 2D positional coordinates that were held by the patch in its originally-published image. Crop, splice and downsample edits become detectable by the inconsistencies they cause in the hidden positional signatures. We find that training the encoder and decoder together produces a model that imperceptibly encodes position, and that enables superior performance on established benchmarks for splice detection and high accuracy on a new benchmark for crop detection.
EXPLORING THE LANGUAGE LEARNING STRATEGY AND FOREIGN LANGUAGE LEARNER’S SELF-EFFICACY ON ENGLISH LANGUAGE STUDENT TEACHERS

This study aims to investigate the language learner’s strategy that frequently use by the student teachers, foreign language learner’s self-efficacy level and the relationship that may occur between the language learning strategy and the student teacher’s foreign language learner’s self-efficacy. Accordingly, this study is not only to find out the strategy used and the level of foreign language learner’s self-efficacy, but also to find out whether there is positive relationship between them. This study is a quantitative descriptive study with case study approach since the sample of this study is less than one hundred people. The subject of this study is the English language student teachers that have taken all four skills courses. The sample of this study are fifteen student teachers of English. This study used two questionnaires to collect the data. First: Strategy Inventory for Language Learning (SILL) that was used to collect the data of language learning strategy. While the second one is Foreign LanguageLearner’s Self-Efficacy Questionnaire that was used to measure the level of foreign language learner’s selfefficacy. Furthermore, the data were analyzed quantitatively using SPSS 21 to find out whether the two factors have relationship. The result of this study showed that the language learning strategy that commonly use by the student teachers is social strategy and followed respectively by metacognitive strategy, cognitive strategy, and affective strategy. Regarding the level of self-efficacy, the result showed that the English language student teacher have high self-efficacy which may be related to they are being students (may be because they are the student teacher of English) and English is their major study therefore they might have more competent in English. Furthermore, the result of this study also showed that there was a positive relationship between English language learning strategy and Foreign language learner’s self-efficacy. The use of language learning strategy can heighten the student teachers’ language learner self-efficacy.
Comparative Analysis of standard Cryptographic Algorithms for better implementation of cryptographic Technique

In our daily life there is considerable expansion in replace of millions of data over the internet as well as other media platforms. This data may contain a number of private and reasonable information that needs to be secured from any other outsider i.e. 3rd party access or intruders. Encryption algorithms plays main task for securing these type of data. All encryption algorithms differ in their performance. In this paper we will evaluate and compare different encryption algorithms like: RSA, AES, Triple DES, Blowfish and Twofish.
LibGuides Home: Emergency Broadband Benefit (EBB): Home

Tools for librarians who want to help residents sign up for emergency low-cost internet for their home and get up to $100 for a laptop, desktop, or tablet.
Tablext: A Combined Neural Network and Heuristic Based Table Extractor

A significant portion of the data available today is found within tables. Therefore, it is necessary to use automated table extraction to obtain thorough results when data-mining. Today's popular state-of-the-art methods for table extraction struggle to adequately extract tables with machine-readable text and structural data. To make matters worse, many tables do not have machine-readable data, such as tables saved as images, making most extraction methods completely ineffective. In order to address these issues, a novel, general format table extractor tool, Tablext, is proposed. This tool uses a combination of computer vision techniques and machine learning methods to efficiently and effectively identify and extract data from tables. Tablext begins by using a custom Convolutional Neural Network (CNN) to identify and separate all potential tables. The identification process is optimized by combining the custom CNN with the YOLO object detection network. Then, the high-level structure of each table is identified with computer vision methods. This high-level, structural meta-data is used by another CNN to identify exact cell locations. As a final step, Optical Characters Recognition (OCR) is performed on every individual cell to extract their content without needing machine-readable text. This multi-stage algorithm allows for the neural networks to focus on completing complex tasks, while letting image processing methods efficiently complete the simpler ones. This leads to the proposed approach to be general-purpose enough to handle a large batch of tables regardless of their internal encodings or their layout complexity. Additionally, it becomes accurate enough to outperform competing state-of-the-art table extractors on the ICDAR 2013 table dataset.