Reviewerly/exHarmony huggingface dataset:
Evaluation of Account Recovery Strategies with FIDO2-based Passwordless Authentication

Threats to passwords are still very relevant due to attacks like phishing or credential stuffing. One way to solve this problem is to remove passwords completely. User studies on passwordless FIDO2 authentication using security tokens demonstrated the potential to replace passwords. However, widespread acceptance of FIDO2 depends, among other things, on how user accounts can be recovered when the security token becomes permanently unavailable. For this reason, we provide a heuristic evaluation of 12 account recovery mechanisms regarding their properties for FIDO2 passwordless authentication. Our results show that the currently used methods have many drawbacks. Some even rely on passwords, taking passwordless authentication ad absurdum. Still, our evaluation identifies promising account recovery solutions and provides recommendations for further studies.
Manajemen Pembiayaan Pendidikan di SD Plus Al Hikmah Kab. Kediri

Can’t be denied that implementation of a learning program’s in the school institution about problem of financing or funding is an important thing. Because funding have an effect to the smoothness and achievement of a programs. The processing of implementation learning in a school institution will work effectively if if supported by good financing. But not only that, an existing financial management must be good and clear so that the funds can be used to the maximum. Beside that, supervision of financial management needs to be done to minimize errors that may occur. The aims of this research is to find out about management of financing in the Al Hikmah Emelentary School especially about source of funds and financial accountability. The methode used in this research is Research, documenter and interview with the people who involved. From the result of data, an overviews about management financing system. Management of financing in the Al Hikmah elementary school  Kediri is professional and effective. About the funding needed for the school activity is sufficient. Beside that, all about funding that received by elementary school of Al Hikmah and financial accountability is always reported to the people or institution that involved. And also all the funding can be used for the needs of school activities.
Coloured Algebras and Biological Response in Quantum Biological Computing Architectures

This paper reports about progress in two areas towards quantum computing architectures with elements inspired from biological controls, as proposed in an earlier paper. The first area is about exploiting mathematical results in coloured algebras, which, combined with the colouring of particle flows, would reduce the decoherence and enhance the decidability in the quantum processing elements; definitions are being recalled, with the required assumptions and results. The second area is to provide experimental results, and a patented biological feedback process in synapse , about light and acoustic excitations in a live animal species to enhance reactivity; the experimental set-up is characterized , the measurement results provided, and the implications are explicated for quantum processing elements approximating a synapse. A paragraph on open issues explains how the results in the two areas will be combined and will help in the design a very early compiler version.
Beacon Location Based Augmented Reality Visualization of Smart Museum

Internet of things basically makes virtually anything Smart, which means it upgrade each aspect of existence with the power of data collection, artificial intelligence algorithm and network. The augmented reality in which virtual content is flawlessly integrated with presentation of real world scenes, is a developing area of interactive design. A Museum is an institution that tends for collection of artifacts and different objects of artistic, cultural, historical or scientific importance and same open galleries make them accessible for public viewing through displays that may be permanent or temporary. This paper focuses on smart museum, which is one of the most significant beacon integrated and AR based museum. By using beacon the visitors do not have to do anything. The relevant content appear on the screen at the right place and time. In addition to the beacon the visitors can see different type of augmented reality content. The visitors can also view the environment into a virtual constructed vintage television. In virtual environment the visitors can move and look around easily.  The beacon device provide information about the user location.
PENINGKATAN HASIL BELAJAR PESERTA DIDIK MELALUI MEDIA POP UP BOOK PADA PEMBELAJARAN TEMATIK KELAS V MIN 04 ACEH BESAR

The process of transforming knowledge to students in learning there are several ways, one of which is using supporting media. Various supporting media will attract the attention of students. The learning process using media is still rarely carried out in the school environment, causing students to feel bored when studying and having an impact on student learning outcomes. Teachers as educators should think about varied media to increase students' interest in participating in learning. One of the interesting media to use in learning is Pop Up Book media. This study aims to determine the increase in student learning outcomes through the media Pop Up Book . This research is a Classroom Action Research (CAR). The subjects in this study were 16 students of class VA MIN 4 Aceh Besar. Data collection is done by observation and tests. This observation is used to determine the ability of teachers and students in learning, the data is analyzed by the percentage formula. The result of the research is that the teacher's activity increased from (69.5%) in the first cycle and in the second cycle to (96%). The activity of students increased from (66.3%) in the first cycle and in the second cycle to (87.5%). And the learning outcomes of students in the first cycle (25%) and in the second cycle increased to (87.5%). Thus, increasing student learning outcomes by using Pop Up Book media can improve student learning outcomes in thematic learning.
Preoperative prediction of sentinel nodal status using mammography images

Breast cancer is the most common cancer among women in Sweden, accounting forapproximately 30 % of the cancer cases. The overall prognosis is good, but worsens if the cancer metastasizes from the primary tumor. In order to exclude or confirm lymph node metastasis in clinically node negative breast cancer, axillary lymph nodes are examined by sentinel lymph node biopsy (SLNB). Up to 85 % of the patients have benign sentinel nodes, and do not benefit therapeutically from SLNB. This project was part of a goal to decrease unnecessary surgeries by preoperative prediction of sentinelnodal status.A cohort of 800 patients, diagnosed with primary breast cancer in Scania, Sweden, between 2009 and 2012 was studied. The cohort was previously used by Dihge et al. to predict axillary lymph node metastasizing, using a multilayer perceptron (MLP) on clinicopathological data. The aim of this project was to determine whether including information from mammograms would improve the artificial neural network’s prediction. A similar MLP to that of Dihge et al. was constructed, and convolutional neural networks were used to extract features from the mammography images (n = 705). The features were used as additional input to the MLP. The results were evaluated with area under the ROC curve (AUC) score.The addition of features from mammograms did not improve the predictions. TheMLP’s AUC-score without features from mammograms was 0.7190 (std 0.0465), it decreased to 0.6573 (std 0.0470) when features from mammography images were added. Nevertheless, the results have demonstrated behaviors of the models and may therefore be used to guide future attempts at using mammograms to improve sentinel lymph node prediction.
比較Encoder-Decoder、Encoder-Only與Decoder-Only架構於低資源數據集下文本生成之差異

Natural language generation (NLG) tasks have received significant research attention in recent years. For tackling various NLG tasks, the Transformer [1] is now consensus to be employed as a fundamental building block. In the literature, there are three main Transformer variants for NLG: full Transformer, Encoder-Only (only using the encoder part of the Transformer), and Decoder-Only (only using the decoder part). A natural question to ask is : which architecture is the best choice. According to previous studies, when the amount of training dataset is sufficient, using the full Transformer is the priority choice for NLG tasks. However, for the insufficient training dataset setting, we find this is not the case. In this paper, we report experiment results of applying the three architectures to four different tasks under low-resource settings. In contrast to the conclusion by previous study, we find that there are no consistent results indicating which architecture is the best under low-resource dataset settings. Further, based on the experiment results, we comment on the architecture selection under the low-resource dataset consideration.
Assisting student knowledge and critical thinking by E-Learning media: Post-Harvest Fungi poster

The challenge for a teacher in the learning process is to engage students with the subject and help them comprehend biology using creative and efficient learning media. The research aims to provide information on the postharvest fungi as well as their role as contaminant fungi in Bantenese emping melinjo chips as the contents in the poster as learning media and to determine its effect on assisting student knowledge and critical thinking skills. The Research and Development was conducted using the ADDIE model. The information was gathered through the use of interview guidelines, validation sheets, and students’ response questionnaires. The research findings informed that a total of 35 species of post harvest fungi have been successfully isolated from eight different locations in Banten Province. The evaluation results of the poster as learning media showed that it was considered very valid by media and material validators. Student responses showed that the developed poster was categorized as very feasible media. The student knowledge and critical thinking skills achievement facilitated by the poster as e-learning media was significantly higher compared to another class. The produced poster was found to be suitable to be used as e-learning media in the Biology subject.&#x0D; &#x0D; Keywords: critical thinking, emping melinjo poster, e-learning media, student knowledge, post harvest fungi;
Next Word Prediction using N-gram model and Smoothing

Word prediction is an intelligent word processing feature that can help students and other persons simply by reducing the number of keystrokes required for typing text. The Natural Language Processing (NLP) based n-gram model is a statistical language model for fast messaging. This model is used to assign probabilities to sequences and sentences. This methodology is sort of tough in alternative languages with the exception of English. The model goes through the corpus of English words and predicts the next word using n-gram. This includes hunting numerous reviews and analysis papers concerning completely different languages, corpus and prediction techniques, and the way these prediction techniques will facilitate us in the next word prediction application. It is becoming more and more important because of the key role that it plays in various domains. This is often a difficult task since the word presents a high variance.
Quantifying Adversarial Sensitivity of a Model as a Function of the Image Distribution

In this abstract, we propose an adaptation to the area under the curve (AUC) metric to measure the adversarial robustness of a model performing an object classification task over a particular epsilon-interval (interval of adversarial perturbation strengths) that facilitates comparisons across models when they have different initial performance under the Fast Gradient Sign Method (FGSM) attack [Goodfellow et al. 2014]. This can be used to determine how adversarially sensitive a model is to different image distributions (or some other variable); and/or to measure how robust a model is comparatively to other models. We used this adversarial robustness metric on MNIST, CIFAR-10, and a Fusion dataset (CIFAR-10 + MNIST) where trained models performed either a digit or object recognition task using a LeNet, ResNet50, or a fully connected network (FullyConnectedNet) architecture and found the following: 1) CIFAR-10 models are more adversarially sensitive than MNIST models when attacked using FGSM; 2) Pretraining with a different image distribution and task sometimes carries over the adversarial sensitivity induced by that image distribution and task in the resultant model; 3) Both the image distribution and task that a model is trained on can affect the adversarial sensitivity of the resultant model. Collectively, our results imply non-trivial differences of the learned representational space of one perceptual system over another given its exposure to different image statistics or tasks (mainly objects vs digits). Moreover, these results hold even when model systems are equalized to have the same level of performance, or when exposed to approximately matched image statistics of fusion images but with different tasks. Altogether, our empirical analysis of the adversarial sensitivity of machine vision systems provides insights into understanding the interplay between the learned task, the computations in a network/system, and image structure for the general goal of object recognition.
Experience of Online Learning at Nursing Students

Background: Online learning uses the capabilities of learning access, connection, flexibility, and interaction.Nursing students experience many changes in learning models, one of which is a laboratory and clinical practice activities.Purpose: This study focuses on student experiences, especially knowing the perceptions, expectations, and things that can support and hinder the online learning process.Methods: Qualitative research through a descriptive phenomenology approach to nine participants using the purposive sampling technique.The data were collected by interview and analyzed using the Colaizzi method.Result: This qualitative research resulted in 7 themes covering perceptions of the use and change of supporting facilities, financial perceptions of online learning, psychological perceptions of online learning, innovation and creativity in thinking, accessibility to learning, family support and learning motivation. Thematic analysis is obtained from theme 1 has 2 categories and 3 codings, theme 2 has 2 categories and 3 codings, theme 3 has 3 categories and 7 codings, theme 4 has 1 categories and 2 codings, theme 5 has 2 categories and 2 codings, theme 6 has 2 categories and 4 coding, theme 7 has 1 categories and 2 coding. The online learning experience during the Covid-19 pandemic for students provides an overview of alternatives that can be used as references for lecturers in assessing and evaluating learning outcomes, perceptions, expectations, and things that can support and hinder students in online learning.Conclusion: The results of the research as an evaluation material for lecturers so that learning can be carried out effectively. The data obtained from the research results can be used as input in scientific development about online learning experiences and can be used as competency parameters that must be possessed by nurses.
The Effect of Students 'Reading Ability and Learning Motivation Towards the Ability to Solve Mathematic Stories Story V SD in Padang City year 2019/2020

This study aims to determine 1) whether reading ability has an effect on the ability to solve math story problems in grade V SD in Padang teaching 2019/2020; 2) whether there is an effect of student learning motivation on the ability to solve math story problems in grade V SD in Padang City, 2019/2020 teaching; and 3) whether there is an effect of reading ability and student learning motivation on the ability to solve math story problems in grade V SD in the city of Padang teaches 2019/2020. The results showed that the results showed that the effect of reading ability on the ability to solve math story problems was F 23.86> F 4.15. The influence of learning motivation on theme 6 sub-theme 1 learning 4 is F 68.27> F 4.15 and the influence of reading ability and student learning motivation on the ability to solve math story problems F 62.78> F 4.16. So it can be concluded that there is a significant influence between reading ability and student learning motivation on the ability to solve math story problems in 4th grade elementary school students in Padang City 2019/2020.
Sheltered and Elegant Future Transaction for Double Server Authentication

In today’s world, money is an important issue at anytime and somewhere like shopping time, travelling time , health sector etc. The need of cash is be comfy while we are carrying money . It additionally increase the hazard of getting financial institution robbed. A bank is  most secure vicinity headed for impervious the money. The otp will provide by means of the bank. Servers are an effortless mode to get money. While we insert the card and gives password ,we get cash . But if any one will hold our card and in some way, they two know your code word, it will allowance them full get entry to to our money. This trouble raise query on current safety and load something new that two offer 2d factor of security. The two new technique closer to the safety Double Authentication gadget presenting in this paper. ie, One-time password verification beside exercise of double server pin. So, this system  providing a complete secured way to execute transaction by means of double level securities.
BLENDED LEARNING APPROACH AND THE PERFORMANCE OF SENIOR HIGH SCHOOL STUDENTS IN MATHEMATICS

In complying to quality standards prescribed in the new normal period, SBINHS-Main will carry out its programs, projects, activities with compassion and understanding.  Therefore, the Learning Continuity Plan is crafted to effectively address the needs of all learners employing various innovative strategies. The learning modalities that the school adopt are Modular Distance Learning where learners use self -learning modules in print or electronic copy, and teachers take the responsibility of monitoring the progress of the learners while in online distance learning, learners use various technologies accessed through the internet.As the school continue to confront the issues brought about by the pandemic, San Buenaventura Integrated National High School Main and Annex is addressing challenges through the Learning Continuity Plan. The field of Senior High School is one of the most rapidly evolving fields in education. Newer teaching methods are being evaluated and incorporated in secondary. One of the promising new methods is the blended learning approach that may involve an instructional sequencing, where online instruction precedes the group meeting, allowing for more sophisticated learning through discussion and critical thinking. This descriptive method and quasi-experimental research design were utilized in this study to determine the level of modular distance learning and online distance learning on the performance in mathematics, the level of mathematics performance of the students and the relationship between these challenges and issues in the use of blended learning approach in teaching mathematics and the mathematics performance of the students.
PERANCANGAN INFOGRAFIS UNTUK PENYAMPAIAN INFORMASI MENGENAI SOCIAL ANXIETY DISORDER

Social anxiety disorder can wreak havoc on the lives of people suffering from this condition.  Individuals who have social anxiety disorder, or social phobia, may have very limited social or romantic  relationships, leaving them feeling helpless, lonely, or even isolated. The purpose of this design is to  provide information about social anxiety disorder, from understanding to how to overcome it. The  design stage includes data collection, conceptual work, and design creation. The data collection  process is obtained from literature studies and documentation of related information about social  anxiety disorder which will later be used at the design stage of the infographic work.
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing

Knowledge graphs (KGs) are powerful tools that codify relational behaviour between entities in knowledge bases. KGs can simultaneously model many different types of subject-predicate-object and higher-order relations. As such, they offer a flexible modeling framework that has been applied to many areas, including biology and pharmacology -- most recently, in the fight against COVID-19. The flexibility of KG modeling is both a blessing and a challenge from the learning point of view. In this paper we propose a novel coupled tensor-matrix framework for KG embedding. We leverage tensor factorization tools to learn concise representations of entities and relations in knowledge bases and employ these representations to perform drug repurposing for COVID-19. Our proposed framework is principled, elegant, and achieves 100% improvement over the best baseline in the COVID-19 drug repurposing task using a recently developed biological KG.
Aws Cloud Computing: Study on its Benefits and Global Infrastructure

This article gives brief info on benefits and Global infrastructure of AWS cloud computing. Cloud computing continuously fostered a technique to utilize the advantages of it in a large portion of the associations. It is extremely overbearing in all organizations entrusted with working on the nature of administration diminishing expenses as the association pays for the help just what they devour dependent on the approaching and active traffic. It includes the idea of on request administrations which means utilizing the cloud assets on request and we can scale the assets according to request. Cloud computing without a doubt gives ceaseless benefits and is a practical model. AWS is the most confided in supplier of distributed computing which not just gives the phenomenal cloud security yet in addition gives amazing cloud administrations. AWS has highest shares and good performance in providing all best features regarding cloud services and cloud computing. This paper shows overview of AWS (Amazon web services) benefits and brief on Global infrastructure.
“I am not really sure how to explain”: marketing augmented reality experiences to new audiences

If the immersive sector is to fully move beyond engaging the early technology adoptors and is to capture mass audiences from different corners of the cultural landscape, then gateway promotional content must be developed – that is, marketing that engages those new to immersive technologies. How, though, can the magic of 3D worlds be communicated via 2D media? Addressing this current industry challenge, the Immersive Promotion Design team were funded by StoryFutures Academy in 2020 to identify new promotional strategies for how virtual and augmented reality experiences can be better marketed to today’s audiences. This article outlines our approach to applying research into ways of marketing VR/AR to a set of promotional materials we created for Studio McGuire’s The Invited, a CreativeXR-funded prototype that reimagines the story of Dracula with a pop-up book and AR technology. I also discuss the results of evaluating The Invited’s research-informed promotion on audience, outlining key learnings about how to communicate the magic of AR content to new audiences.