Reviewerly/exHarmony huggingface dataset:
Conditional Reasoning and Relevance.

The Weak Completion Semantics is a computational and nonmonotonic cognitive theory based on the three-valued logic of Łukasiewicz. It has been applied to adequately model – among others – the suppression task, the selection task, syllogistic reasoning, and conditional reasoning. In this paper we investigate the case where the antecedent of a conditional is true, but its consequent is unknown. We propose to apply abduction in order to find an explanation for the consequent. This allows to derive new conditionals which are necessarily true. But it also leads to two problems, viz. that consequents should not abduce themselves and that the antecendent of a conditional should be relevant to its consequent. We propose solutions for both problems.
Free Speech, Rational Deliberation, and Some Truths About Lies

Could “fake news” have First Amendment value? This claim would seem to be almost frivolous given the potential for fake news to undermine two core functions of the freedom of speech – promoting democracy and facilitating the search for “truth,” as well as the corollary that to be valuable, speech must promote rational deliberation. Some would therefore claim that fake news should count as “no value” speech falling outside of the First Amendment’s reach. This Article argues somewhat counterintuitively that fake news has value because speech doctrine should not be focused exclusively on the promotion of rational deliberation, but should also limit the state’s ability to control the way we emotionally experience ideas, beliefs, and even facts. It claims that like art, music, religious expression, and other forms of human communication that do not facilitate rational deliberation in their audiences, fake news can promote a form of expressive experiential autonomy. It can allow individuals to experience individual self-realization and identify formation and also form cultural connections with like-minded people, advancing social cohesion. Drawing on First Amendment theory and on the fields of cognitive and social psychology and political science, the Article views consumers of fake news not simply as uninformed, gullible rubes, but as individuals seeking to simultaneously distinguish themselves through individualization or self-identification and group association with a community of people with whom they share values. Understood in this way, the inquiry illustrates why the rational deliberation principle is incomplete because it does not explain much of what we ought to recognize as “speech.” This more nuanced understanding of the way that fake news connects with much of its audience has implications for free speech theory, First Amendment doctrine, and policymaking options for addressing the potential harms of fake news. To be clear, this Article is not a defense of fake news or those who intentionally attempt to influence others’ behavior by spreading false facts disguised as legitimate news. Thus, the Article concludes by explaining that while fake news should always be covered by the First Amendment, it should not always be protected.
Secure Quantum Protocol for Multiparty Computation

With the recent development in quantum computers, the classical cryptographic tools may need to be upgraded and ensure that they must be quantum resistant. Secure multiparty is one of the important cryptographic protocols, with this a team of n-players can jointly compute a function, in such a way that the input of the function will be anonymous. In this paper, we have proposed a secure multiparty summation protocol for multiparty computation in a distributed environment. In this protocol out of n, the initiator selects k players, which will compute partial summation and send these partial results to the initiator. Here the initiator plays an important role and members elect the initiator by a voting function.
Multiliteracy texts:How to use multi-literacy texts with dyslexic children

This piece examines the need for parents to use non-traditional texts with dyslexic children. Using the example of the author's own daughter, it examines how these texts can be used to support reading instruction and literacy learning.
Software as a Service

Cloud-based software delivered as a service (SaaS) is of course a major component of today’s IT and business environment, and has had a profound impact on how commercial software is created and consumed. This shift has made it remarkably simpler and easier to utilize sophisticated business software, with businesses now able to sign up, create an account, and begin obtaining value in minutes.
New IPI platform collects best practices to tackle online harassment of journalists

The International Press Institute (IPI) launched a new platform on 9 July called Ontheline Newsrooms providing best practices to counter online ...
Extending Prolog for Quantified Boolean Horn Formulas.

Prolog is a well known declarative programming language based on propositional Horn formulas. It is useful in various areas, including artificial intelligence, automated theorem proving, mathematical logic and so on. An active research area for many years is to extend Prolog to larger classes of logic. Some important extensions of it includes the constraint logic programming, and the object oriented logic programming. However, it cannot solve problems having arbitrary quantified Horn formulas. To be precise, the facts, rules and queries in Prolog are not allowed to have arbitrary quantified variables. The paper overcomes this major limitations of Prolog by extending it for the quantified Boolean Horn formulas. We achieved this by extending the SLD-resolution proof system for quantified Boolean Horn formulas, followed by proposing an efficient model for implementation. The paper shows that the proposed implementation also supports the first-order predicate Horn logic with arbitrary quantified variables. The paper also introduces for the first time, a declarative programming for the quantified Boolean Horn formulas.
PENGARUH PEMBELAJARAN BERBASIS EDMODO TERHADAP MOTIVASI BELAJAR MAHASISWA PGSD STKIP MUHAMMADIYAH MUARA BUNGO

The background in this study is the learning motivation of STKIP Muhammadiyah Muara Bungo students is still low in Indonesian subjects. One reason is the learning approach that is not right. Although the implementation has implemented learning by leading students to be more active in learning, but there are still weaknesses in learning, which causes low motivation to learn. This can be seen when doing learning activities, students prefer to chat with their friends when friends in the group in front are explaining the material. Another thing that happens is, when students do not master the group material, the audience becomes noisy, so that learning time is wasted. So, with existing problems, an effort can be made to improve learning activities. One effort that can be done is by applying edmodo-based learning. The purpose of this study was to determine the effect of Edmodo-based e-learning learning approaches on the learning motivation of STKIP Muhammadiyah Students in Muara Bungo. This type of research is a quasi-experimental study with pretest-posttest nonequivalent group design. This research has been carried out in STKIP Muhammadiyah Muara Bungo PGSD Study Program in 2020. The instrument used to measure learning motivation was 30 statements. Data were analyzed using descriptive analysis test and inferential analysis test which included tests of normality, homogeneity and hypothesis testing. The results showed that there was a significant influence with edmodo-based e-learning learning on student motivation.
Plumbing Service Case Study for MSI's Service Pro and NetSuite

Plumbing service provider in Michigan empowers field technicians with the premier NetSuite-connected field service mobile app ...
Library internship during the COVID-19 pandemic: Experiences with virtual internships at the Vienna university library

Even in the current situation, students of library science must gain professional experience in libraries under often difficult conditions Libraries, in turn, should not lose the important input and new ideas that interns can provide because of the increased security measures Many students choose to complete a part of their compulsory internship in the department of Repository Management PHAIDRA-Services of the University of Vienna every year To continue this tradition during the crisis, a new concept for online internships was developed in the summer of 2020 The first group of four students from the Humboldt University of Berlin completed a four-week remote internship in October- November 2020 The paper discusses the concept for the virtual internship, as well as the feedback from both colleagues and interns Lessons learned are presented in order to help other libraries that are considering the shift to virtual internships © Tereza Kalova
Pengelompokan Provinsi di Indonesia Menggunakan Algoritma Partitioning Around Medoids (PAM) Terhadap Indikator Pembentuk Indeks Pembangunan Manusia (IPM) Tahun 2020

The human development index is an indicator that can convert, human development and become a country's measure. Bank Indonesia the central bank/bi's decision to raise its benchmark interest rate by 25 basis points to 8.25 percent would be lower than the previous quarter of this year, he said. The algontma to be used on this research is partitioning Around medoids The algorithm partitioning around medoids is done by sifting through data Which is analyzed into the cluster-clusters that exist. The data used in mni suppresses the ipm phasing indicator, which is the biologic age. The rupiah's current exchange rate against rp9,100 per dollar in the Jakarta interbank spot market on Tuesday afternoon strengthened to rp9,310/9,329 per dollar in the Jakarta interbank spot market on Tuesday. The result of a 34 proxies grouping in Indonesia is based on indicators of human development in 2020, at two optimum clusters, In the first half of 2007, the company's total assets in the first quarter of 2007 fell to rp2.1 trillion from rp2.1 trillion in the same period last year
Privacy-preserving model, architecture and solution for on-the-fly anonymization of 5G data streams

The emerge of 5G networks impose new challenges to the legacy privacy-preserving approaches which are mainly stemming from the special requirements of the 5G services (eMBB, mMTC and URLLC). This, in combination with the “big data” concept creates a highly demanding environment for the data stream anonymization techniques which cannot be satisfied by the current models and approaches. In this paper we proposed an extended privacy-preserving model to support the special requirements of 5G services and we propose an architecture and a developed solution for supporting data streams anonymization in 5G networks following the SDN paradigm.
Social Media and Hate in 2021

In the last six years Resisting Hate have seen the social media landscape of far right and right wing extremism change dramatically. Right wing stars ...
Ability of Vis-PIR spectroscopy to monitor changes in organic carbon of loamy soils at two depths

&amp;lt;p&amp;gt;Visible-Near Infrared (Vis-NIR) spectroscopy has proven its efficiency in predicting several soil properties such as soil organic carbon (SOC) content. In this preliminary study, we explored the ability of Vis-NIR to assess the temporal evolution of SOC content. Soil samples were collected in a watershed (ORE AgrHys), located in Brittany (Western France). Two sampling campaigns were carried out 5 years apart: in 2013, 198 soil samples were collected respectively at two depths (0-15 and 15-25 cm) over an area of 1200 ha including different land use and land cover; in 2018, 111 sampling points out of 198 of 2013 were selected and soil samples were collected from the same two depths. Whole samples were analyzed for their SOC content and were scanned for their reflectance spectrum. Spectral information was acquired from samples sieved at 2 mm fraction and oven dried at 40&amp;amp;#176;C, 24h prior to spectra acquisition, with a full range Vis-NIR spectroradiometer ASD Fieldspec&amp;amp;#174;3. Data set of 2013 was used to calibrate the SOC content prediction model by the mean of Partial Least Squares Regression (PLSR). Data set of 2018 was therefore used as test set. Our results showed that the variation &amp;amp;#8710;SOC&amp;lt;sub&amp;gt;obs&amp;lt;/sub&amp;gt;&amp;lt;sub&amp;gt;&amp;lt;/sub&amp;gt;obtained from observed values in 2013 and 2018 (&amp;amp;#8710;SOC&amp;lt;sub&amp;gt;obs&amp;lt;/sub&amp;gt; = Observed SOC (2018) - Observed SOC (2013)) is ranging from 0.1 to 25.9 g/kg. Moreover, our results showed that the prediction performance of the calibrated model was improved by including 11 spectra of 2018 in the 2013 calibration data set (R&amp;amp;#178;= 0.87, RMSE = 5.1 g/kg and RPD = 1.92). Furthermore, the comparison of predicted and observed &amp;amp;#8710;SOC between 2018 and 2013 showed that 69% of the variations were of the same sign, either positive or negative. For the remaining 31%, the variations were of opposite signs but concerned mainly samples for which &amp;amp;#8710;SOCobs is less than 1,5 g/kg. These results reveal that Vis-NIR spectroscopy was potentially appropriate to detect variations of SOC content and are encouraging to further explore Vis-NIR spectroscopy to detect changes in soil carbon stocks.&amp;lt;/p&amp;gt;
End-to-End Models for the Analysis of System 1 and System 2 Interactions based on Eye-Tracking Data.

While theories postulating a dual cognitive system take hold, quantitative confirmations are still needed to understand and identify interactions between the two systems or conflict events. Eye movements are among the most direct markers of the individual attentive load and may serve as an important proxy of information. In this work we propose a computational method, within a modified visual version of the well-known Stroop test, for the identification of different tasks and potential conflicts events between the two systems through the collection and processing of data related to eye movements. A statistical analysis shows that the selected variables can characterize the variation of attentive load within different scenarios. Moreover, we show that Machine Learning techniques allow to distinguish between different tasks with a good classification accuracy and to investigate more in depth the gaze dynamics.
LibGuides: CKLS Grants: 2020 Public Library Allotment Standards

Description of grants available through CKLS with links to forms and reports for each grant. The standards a library must meet to earn full 2019 System Basic Grant Funds
Cyber Violence against Women and Girls in Nepal

Violence against women and girls in the virtual space is the emerging concern in the global context. With the growth in use of technologies and the internet, cyberspace has been an equally vulnerable area for violence targeted against women and girls as that of public space. With the rise in numbers of existing forms of violence, conceptual clarification on the dynamics of cyber based violence is a major need of time. Moreover, it has been an issue of immediate concern to assess the current situation of Nepal for the identification of policy and legal remedies. The present study attempts to identify the pattern and forms of cyber based violence against women and girls in Nepal through the study of registered cases in Cyber Crime Unit of Nepal Police and also, reflect on the nature of cases adjudicated by the Kathmandu District Court. In the absence of a clear legal framework and technical knowhow of cyber based crimes, law enforcement authorities have been constantly facing challenges to critically intervene the process and secure safe spaces for women and girls in use of technology. The study concludes that a coherent approach from all concerned stakeholders is required in defining a clear legal and policy framework to ensure use of information and technology as a tool of gender empowerment, thus addressing the crimes committed through cyberspace.
POTENTIAL EFFECT OF ELECTRONIC MONITORING ON THE WORK PERFORMANCE OF EMPLOYEES IN COMMERCIAL BANKS

Employee behavior influences the organization's effectiveness. A significant element that separates one company from another is technology. The acceptance, dismissal, and adaptability of workers to the technologies being used ultimately defines how companies can succeed in a market setting. The push for the use of technology is to ensuring that process improvements are made simpler, quicker and to increase the economic performance of the company. Moreover, the use of technology significantly affects employee behavior. The purpose of this research is to identify out how electronic monitoring on the work performance of employees in commercial banks likeICICI Bank (Industrial Credit and Investment Corporation of India), HDFC(Housing Development Finance Corporation) and Axis bank. It is necessary to analyze the specific actions of employees in order to maximize the use of technology introduced into the company by employees in order to enhance their attitude. The research adopted a descriptive empirical approach and then evaluated the relationship among the independent variable (electronic testing) and the dependent variable (performance of employees) in order to explain the influence of the independent on the dependent variable. The study findings show that employee behavior mainly influences the use of technology, facilitates learning process, enhances productivity and effectiveness, and enhances organization effectiveness. In todays modern workplaces, employee monitoring has become common practice. A vast number of employers are using some kind of monitoring tools in the workplace to boost team performance.
Automated Detection of Cyberbullying Against Women and Immigrants and Cross-domain Adaptability

Cyberbullying is a prevalent and growing social problem due to the surge of social media technology usage. Minorities, women, and adolescents are among the common victims of cyberbullying. Despite the advancement of NLP technologies, the automated cyberbullying detection remains challenging. This paper focuses on advancing the technology using state-of-the-art NLP techniques. We use a Twitter dataset from SemEval 2019 - Task 5 (HatEval) on hate speech against women and immigrants. Our best performing ensemble model based on DistiBERT has achieved 0.73 and 0.74 of F1 score in the task of classifying hate speech (Task A) and aggressiveness and target (Task B) respectively. We adapt the ensemble model developed for Task A to classify offensive language in external datasets and achieved ~0.7 of F1 score using three benchmark datasets, enabling promising results for cross-domain adaptability. We conduct a qualitative analysis of misclassified tweets to provide insightful recommendations for future cyberbullying research.
Bonding chemistry with data: Developing disciplinary data literacy competencies [poster]

Poster presented on October 9, 2020 at the STELLA (Science, Technology, and Engineering Library Leaders in Action) biennial unconference. Science and instructional librarians often teach information literacy specific to their discipline. However, data literacy has not traditionally been part of the librarian’s instruction realm. One barrier is the need to include both general and discipline specific concepts. Chemistry and other STEM fields include data instruction for both classroom and laboratory but, are faculty teaching data literacy concepts with the existing curriculum? We set out to define data competencies for chemistry and find out how many are currently being taught in undergraduate chemistry classes. This lightning talk will explore our research question and describe how we defined these competencies.
Geometric analysis and new discoveries for phase-shifting algorithms based on the orthogonal resolution and resultant of forces

In fringe projection profilometry, the wrapped phase extraction is an essential process for absolute phase unwrapping and even the computation of object height information. Over the past few decades, tremendous efforts have been devoted to developing various techniques for computing wrapped phase. By contrast, the phase-shifting techniques process more advantages including higher accuracy, higher spatial resolution, and lower sensitivity to variations of background intensity and surface reflectivity. At present, a variety of phase-shifting algorithms show the comprehensive mathematical deduction and their theories are very clear. Analysis from the perspective of theoretical integrity, however, the phase-shifting techniques lack the exploration of geometric algebra. For that reason, inspired by the orthogonal resolution and resultant of forces in physics, we present a geometric analysis method. Furthermore, exploiting the proposed method to explore the double three-step algorithm, four-step algorithm and extended averaging technique, we obtain three new discoveries. Simulations and experiments have been carried out to verify the performance of these new discoveries. In addition, these results also reflect the necessity of the geometric analysis method for phase-shifting techniques.
Influence of AI Synthetic Anchor on Broadcasting Major

with the continuous development of science and technology, artificial intelligence has a profound impact on human life from concept, prototype to specific application. Especially in information dissemination, medical treatment, road traffic and other social life, production activities, artificial intelligence has a more in-depth application. In the era of intelligent media, the combination of artificial intelligence and media industry has brought revolutionary changes to traditional industries. In recent years, with the emergence of AI synthetic anchor, it has caused a certain impact on the broadcasting and hosting specialty. Some experts and scholars in the academic field directly call that the announcer and host may be replaced in the future. This paper uses the questionnaire survey method to investigate the college students majoring in broadcasting and hosting. It is concluded that 60.66% of the graduates of broadcasting major will not enter the broadcasting industry, and only 39.34% of the graduates will enter the broadcasting industry after graduation, which is still a big difference.
Text and source readability - A step to cognition

The article aims to explore the relationship between readability of texts from instructions (assignments texts, technical documentation, law/regulation texts) and the corresponding source code (task solution) from a particular education resource for programming on the topic with neural/positive sentiment ‘identity documents’. The article examines two types of studies: one of applying software metrics and second one from empirical research of text understanding for a target group of 15 years old students (on texts and programming source code). The results are a strong foundation for continuing research in order to receive objective methodology for readability for the people of this age. This has both research and also publishing companies’ business added value as objective recommendations for the authors of the textbooks and also for teachers in Computer Science and languages for general teaching practices.
Novel Multifunction Filter using Current Feedback Amplifier

One configuration for realizing voltage- mode multifunction filters using current feedback amplifiers (CFOA) is presented. The proposed voltage -mode circuit exhibit simultaneously low pass and band pass filters. The proposed circuits offer the following features: No requirements for component matching conditions; low active and passive sensitivities; employing only grounded capacitors and the ability to obtain multifunction filters from the same circuit configuration.
UCF Research Guides: New to "U"? (University of Central Florida Libraries): Helpful Links

Whether you're a new DirectConnect to UCF transfer student or a new transfer student from another college or university, here's information to help you locate the library resources you'll need for research assignments.