Reviewerly/exHarmony huggingface dataset:
Analysis of Popularity Sentiment in Opinion Presidential Election 2019 on Twitter

Presidential Election (Pilpres) 2019 which has been passed on 17 April 2019 which is being widely discussed in cyberspace, electronics and social media, one of them is on Twitter.Before the voting, there were many opinions and opinions about the 2019 presidential candidates who had their respective advantages, one that could be relied on in terms of popularity.Social media is one place for an effective and efficient campaign but raises many good, positive and negative opinions.In this study, it is expected to be able to see opinions in the community that contain positive and negative sentiments.
Iterative Scheme for Object Detection in Crowded Environments

Deep learning-based detectors usually produce a redundant set of object bounding boxes including many duplicate detections of the same object. These boxes are then filtered using non-maximum suppression (NMS) in order to select exactly one bounding box per object of interest. This greedy scheme is simple and provides sufficient accuracy for isolated objects but often fails in crowded environments, since one needs to both preserve boxes for different objects and suppress duplicate detections. In this work we develop an alternative iterative scheme, where a new subset of objects is detected at each iteration. Detected boxes from the previous iterations are passed to the network at the following iterations to ensure that the same object would not be detected twice. This iterative scheme can be applied to both one-stage and two-stage object detectors with just minor modifications of the training and inference proce­dures. We perform extensive experiments with two different baseline detectors on four datasets and show significant improvement over the baseline, leading to state-of-the-art performance on CrowdHuman and WiderPerson datasets.
Analisis Persebaran Angka Kematian Ibu Hamil Berbasis WEB-GIS Menggunakan Metode Fuzzy Multiple Criteria Decision Making (FMCDM) di Daerah Yogyakarta

The Maternal Mortality Rate (MMR) has not decreased but has increased from 228 per 1000 live births in 2007 based on the Indonesia Demographic and Health Survey (IDHS) data in 2008 to 359 per 1000 live births in 2013 based on Indonesia Demographic data and Health Survey (IDHS) in 2013, and it became 305 per 1000 live births in 2015 from the 2015 Inter-Census Population Survey.Research on geographic information systems for mapping the distribution of maternal mortality (MMR) with a web platform using multiple fuzzy criteria decision data processing makes.The system is updated in terms of data management and data visualization.The system uses the web to map the distribution of MMR in Yogyakarta in 2019.The method used in data management uses an analytic hierarchy process.The variables used include PHBS (Healthy and Clean Life Behavior) with pregnant women given Fe1, PHBS with pregnant women doing K1 or antenatal care coverage can be monitored through new visit services for pregnant women, and pregnant women have given Fe1 with pregnant women doing K1.The study aims to determine a visual map of the distribution of MMR in Yogyakarta in 2019.The distribution of data visualization on maternal mortality in 2019 uses regional demographic data and several information indicators about these mothers.
Performance Evaluation of Secret Key Generation System for Static and Dynamic Condition

Received signal strength as one of the physical layer characteristics has been proven to be extracted as a secret key to secure communications carried out by two legitimate parties. Some of the previous secret key generation systems had low key generation speed and were indicated by the key generation value parameter and high bit difference indicated by the key disagreement value parameter. This paper proposes a system that can improve the similarity of RSS between legitimate parties by adding the Kalman Filter pre-process method. The increase in the similarity of received signal strength will be followed by a decrease in the difference in bits obtained so that it will reduce the number of bits wasted in the error-correcting component and will automatically increase the key generation value. The performance evaluation of the built system will be tested in an indoor environment with several scenarios and conditions. There are 2 scenarios used, namely the scenario in the classroom and laboratory and each of them has 2 conditions, namely static and dynamic. The test results show that the best performance is obtained when the Cl scenario and static condition with the key disagreement value of 0.41 and key generation value of 6.48 bps. The proposed system also shows better performance in terms of key disagreement value and key generation value compared to the previous system.
Loops, multi-edges and collisions in supersingular isogeny graphs

&lt;p style='text-indent:20px;'&gt;Supersingular isogeny graphs are known to have very few loops and multi-edges. We formalize this idea by studying and finding bounds for the number of loops and multi-edges in such graphs. We also find conditions under which the supersingular isogeny graph &lt;inline-formula&gt;&lt;tex-math id="M1"&gt;\begin{document}$ \Lambda_p( \ell) $\end{document}&lt;/tex-math&gt;&lt;/inline-formula&gt; is simple.&lt;/p&gt;&lt;p style='text-indent:20px;'&gt;The methods presented in this paper can be used to study many kinds of collisions in supersingular isogeny graphs. As an application, we introduce the notion of bi-route number for two graphs &lt;inline-formula&gt;&lt;tex-math id="M2"&gt;\begin{document}$ \Lambda_p( \ell_1),\Lambda_p( \ell_2) $\end{document}&lt;/tex-math&gt;&lt;/inline-formula&gt; and compute bounds for it. We also study the number of edges in common between the graphs &lt;inline-formula&gt;&lt;tex-math id="M3"&gt;\begin{document}$ \Lambda_p( \ell_1),\Lambda_p( \ell_2) $\end{document}&lt;/tex-math&gt;&lt;/inline-formula&gt;.&lt;/p&gt;
Advanced Ray-Based Survey Evaluation: Practical Concepts and Benefits

Summary Ray-based seismic modelling does not provide as complete results as full wavefield modelling, but typically is faster, more flexible, and computationally less demanding. In cases that require a comparison between many different modelling scenarios, routine application of full wavefield modelling may not be practical. As reconstructing the full wavefield only is required for specific purposes, advanced ray-based modelling may in many cases be an efficient alternative. Moreover, ray-based methods typically add relevant information that is not (or not as easily) available through full wavefield modelling. This study combines existing ray-based approaches to a modular survey evaluation workflow that is not limited to classic illumination mapping but extends into efficient PSDM simulation, velocity sensitivity analysis, and the generation of point-spread functions for resolution testing. The focus is on practical aspects of exploiting the flexibility and efficiency of ray-based methods, dedicated to reducing survey planning and acquisition costs while still making sure that acquired seismic data fit the purpose.
Early Childhood Education Support in Korea amid the COVID-19 Pandemic

The purpose of this study is to examine the support provided by childcare-related educational/administrative organizations and child care centers vis-à-vis COVID-19.Data were collected through the websites of childcare-related professional organizations' and interviews with the directors or vice-directors of each childcare center.The targets that childcare-related organizations' support include young children, the parents, teachers, and childcare centers.The types of support provided by the organizations range from financial, emotional, and administrative in nature to those that involve program development and teacher training.Efforts from childcare centers include online video classes, sending activity plans and materials to families, and giving feedback on photos and videos of activities accomplished at home.In addition, special activities in childcare centers that were only possible and meaningful during the COVID-19 period, like conducting small-group activities, teaching about COVID-19, and practicing "Good Consumption" were also examined.It is encouraging that child care-related specialized institutions supported young children, their families, and childcare centers by making various attempts, and that childcare centers develop and implement programs suitable for their philosophy and size.It is expected that implementing more educational and meaningful practices in early childhood education institutions at the time of COVID-19 based on these results.
An Efficient and Reliable Multi-Cloud Provider Monitoring Solution

Cloud computing has transformed the way IT services are provisioned and consumed, shifting the burden of configuration and management to the cloud provider. A lot of research has been conducted in the field aimed at optimizing and/or devise new in-cloud service delivery models. Yet, service outages are a norm rather than an exception. A natural evolution for application developers, especially for those applications that must meet high availability requirements, is to rely on resources and services provisioned by multiple cloud simultaneously. The so-called multi-cloud, distributed deployment model coupled with a monitoring solution spanning multiple domains could help in a timely identification and isolation of faulty components, alleviating service impairment issues. To this end, we propose an extension to NoMISHAP, a Platform as a Service (PaaS) multicloud middleware, introducing a cross layer monitoring solution for use in distributed cloud environments. Experimental results show the effectiveness of our approach and its ease of adoption for management tasks.
Fuzzy Logic Based Contactless Risk Dedication and Prevention System to prevent COVID-19 Suspect at Entrance

COVID-19 is a disease caused by a virus that can spread from person to person.The symptoms can vary from mild to severe illness for COVID-19.Body temperature plays an important role to detect COVID-19 symptoms.This article proposes Fuzzy Logic Based contactless risk dedication and prevention system at entrance.The proposed system measures the contactless body temperature of the individual at the entrance.Fuzzy logic takes the decision to allow the person inside at the entrance.Based on a fuzzy decision system open or close the gate.The system is automatic and does not need any human operator that helps to prevent further pandemic.
Vertical federated learning based on DFP and BFGS

As data privacy is gradually valued by people, federated learning(FL) has emerged because of its potential to protect data. FL uses homomorphic encryption and differential privacy encryption on the promise of ensuring data security to realize distributed machine learning by exchanging encrypted information between different data providers. However, there are still many problems in FL, such as the communication efficiency between the client and the server and the data is non-iid. In order to solve the two problems mentioned above, we propose a novel vertical federated learning framework based on the DFP and the BFGS(denoted as BDFL), then apply it to logistic regression. Finally, we perform experiments using real datasets to test efficiency of BDFL framework.
Limits to Terror Speech in the UK and USA: Balancing Freedom of Expression with National Security

Article 10(1) of the European Convention on Human Rights, freedom of expression, is incorporated into UK law. With the growing Islamist terror threat after 9/11, particularly threatening European security, the Council of Europe introduced the Convention on the Prevention of Terrorism (CPT) 2005. One of the Articles within the Convention, Article 5, obliges states to outlaw ‘public provocation to commit a terrorist offence’. Drawing on its obligations in the CPT, the UK enacted section 1 of the Terrorism Act 2006: ‘encouragement of terrorism’. But, in implementing its duties, the UK went further. There are very real concerns, therefore, about the effects of this legislation on freedom of expression. The test for interpreting breaches of Article 10 is ‘proportionality’. Comparatively, in America there is a much stronger test than proportionality, ‘strict scrutiny’, in assessing limits to terror speech. However, in the age of Islamism, together with the speed, ease and little cost incurred in sharing terror speech online, should there not be a reappraisal of American law? The author is based in the UK. But the UK’s approach to limiting terror speech is arguably too intrusive of freedom of expression. This paper, therefore, proposes a compromise approach between the two jurisdictions.
Machine-Generated Hierarchical Structure of Human Activities to Reveal How Machines Think

Deep-learning based computer vision models have proved themselves to be ground-breaking approaches to human activity recognition (HAR). However, most existing works are dedicated to improve the prediction accuracy through either creating new model architectures, increasing model complexity, or refining model parameters by training on larger datasets. Here, we propose an alternative idea, differing from existing work, to increase model accuracy and also to shape model predictions to align with human understandings through automatically creating higher-level summarizing labels for similar groups of human activities. First, we argue the importance and feasibility of constructing a hierarchical labeling system for human activity recognition. Then, we utilize the predictions of a black box HAR model to identify similarities between different activities. Finally, we tailor hierarchical clustering methods to automatically generate hierarchical trees of activities and conduct experiments. In this system, the activity labels on the same level will have a designed magnitude of accuracy and reflect a specific amount of activity details. This strategy enables a trade-off between the extent of the details in the recognized activity and the user privacy by masking some sensitive predictions; and also provides possibilities for the use of formerly prohibited invasive models in privacy-concerned scenarios. Since the hierarchy is generated from the machine's perspective, the predictions at the upper levels provide better accuracy, which is especially useful when there are too detailed labels in the training set that are rather trivial to the final prediction goal. Moreover, the analysis of the structure of these trees can reveal the biases in the prediction model and guide future data collection strategies.
Implementation of Van Hiele Learning Model Assisted By Manipulative Media in Circle Materials to Improve the Learning Outcomes of Violent Students Inpres Palupi Elementary School

The purpose of this study was to obtain a description of student learning outcomes through the Van Hiele learning application model assisted by manipulative media on the circle material of Grade VI students of SD Inpres Palupi.This type of research is classroom action research which refers to the PTK model developed by Arikunto.S which consists of four components in each cycle, namely (1) planning, (2) implementing the action, (3) observation and (4) reflection.The research subjects were grade VI students of SD Inpres Palupi Palu, totaling 26 students consisting of 12 male students and 14 female students.Data collected in this study through observation sheets, interviews, field notes, and student learning outcomes data.In the final test cycle I, there were 12 students who have completed and 14 students did not complete so that the percentage of classical completeness of students in the first cycle I is 46.15% .Whereas in cycle II there were 22 students complete and 4 students not completing so that the percentage of classical completeness of students in cycle II was 84.62%.The results showed that the activities of teachers and student activities in learning have increased and indicators of success in the action have been achieved.Based on these results, it can be concluded that the application of the Van Hiele learning model assisted by manipulative media can improve learning outcomes of Grade VI students at SD Inpres Palupi on circle material through the following phases: 1) information phase, 2) direct orientation phase, 3) explanation phase , 4) orientation-free phase and 5) integration phase
A Historical and Statistical Studyof the Software Vulnerability Landscape

Understanding the landscape of software vulnerabilities is key for developing effective security solutions. Fortunately, the evaluation of vulnerability databases that use a framework for communicating vulnerability attributes and their severity scores, such as the Common Vulnerability Scoring System (CVSS), can help shed light on the nature of publicly published vulnerabilities. In this paper, we characterize the software vulnerability landscape by performing a historical and statistical analysis of CVSS vulnerability metrics over the period of 2005 to 2019 through using data from the National Vulnerability Database. We conduct three studies analyzing the following: the distribution of CVSS scores (both empirical and theoretical), the distribution of CVSS metric values and how vulnerability characteristics change over time, and the relative rankings of the most frequent metric value over time. Our resulting analysis shows that the vulnerability threat landscape has been dominated by only a few vulnerability types and has changed little during the time period of the study. The overwhelming majority of vulnerabilities are exploitable over the network. The complexity to successfully exploit these vulnerabilities is dominantly low; very little authentication to the target victim is necessary for a successful attack. And most of the flaws require very limited interaction with users. However on the positive side, the damage of these vulnerabilities is mostly confined within the security scope of the impacted components. A discussion of lessons that could be learned from this analysis is presented.
Reimaging the Book ... Again! A New Framework for Smart Books Using Digital Twins Technology

Technology enabled learning and communication are at the crossroads, which need flexible solutions. Flexible learning enables a learner to move seamlessly between the real and virtual world. We propose a novel flexible communication tool, "the smart book" to address these challenges. First, we review the role of the traditional book, its role in society today and the recent advances in augmented reality books. Next, we present a novel approach that integrates digital twins and mixed realities that is useful in communication, learning and for making decisions. We propose an initial vision of the architecture. Finally, we follow the Spiral of Creative Thought to create a first prototype with promising results. Our plan to further develop the architecture is to integrate this spiral with other software development methods. We need further iterations within the spiral to include final users and diverse applications.
The Language of Neoliberal Education

In this interview, Prof. Henry Giroux engages with some of the most challenging issues associated with the neoliberal educational agenda. In the introductory part, he discusses neoliberalism’s different operating registers including the ‘war over ideas’. In particular, he examines how the neoliberal ideology came to dominate some of the commanding institutions of contemporary societies. At the same time, he also discusses the centrality of education under neoliberal modes of governance as well as the role of large-scale assessments and quantitative data in educational research. In the central part of the interview Prof. Giroux examines neoliberalism’s strategy of appropriating ideas and concepts that lie outside its gravitational orbit and its transformative influence on our way of thinking about education and public policy in general. In the closing part of the interview, Prof. Giroux identifies the most pressing negative effects of neoliberalism for democratic societies.
NoShot Video Browser at VBS2021

We present our NoShot Video Browser, which has been successfully used at the last Video Browser Showdown competition VBS2020 at the MMM2020. NoShot is given its name due to the fact, that it neither makes use of any kind of shot detection nor utilize the VBS master shots. Instead videos are split into frames with a time distance of one second. The biggest strength of the system lies in its feature “time cache”, which shows results with the best confidence in a range of seconds.
Error Analysis of English Written Text of Higher Level English Foreign Language Learners

The main purpose of this research is to analysis of errors based on surface strategy taxonomy on the students’ English written text. It aims at developing further analyzing of error analysis in second language learners. The approach of research is qualitative descriptive. The samples were taken from the written text made by 20 students in writing development skill class. The findings resulted in: the most common error occurred is omission 45,45%. The second place of frequent is misformation 21,81% as the score. The third is addition 19,09%. The fourth is error on misordering 13,63%. The sources of errors of this research were mother-tongue influence. It was influenced by the native language which interferes with target language learning.
Method of Selecting the Maturity Level of an Organization When Managing a Project Portfolio

In recent decades, managing a portfolio of projects from an empirical field has turned into an area with developed management technologies, including the active use of information technologies. A few standards and guidelines have been created in the field of project portfolio management. The effect of managing the organization’s project portfolio substantially depends on the level of use of the project portfolio management capabilities. The level of use of project portfolio management capabilities is the level of organizational maturity in this area.The aim of this paper is to create a method for choosing the organization's maturity level in the field of project portfolio management.A method for assessing the maturity of an organization in the field of project portfolio management is proposed. The method is based on assessing the application of principles, functions, life cycle, specialized organizational structure, prescribed roles, and responsibilities for their implementation in managing a portfolio of projects. A distinctive feature of the method is that when evaluating, a generalized table of project portfolio management processes is used. The functions performed should be reflected in this table. Each function in the table has a given weight. Weights are also assigned to all other components of the project portfolio management approach. A method is proposed for choosing the maturity level of managing an organization’s project portfolio based on optimizing the maturity level and costs of managing a project portfolio.