Reviewerly/exHarmony huggingface dataset:
Virtual Reality for Mineral Surface Design

Using VR as integrated workflowReactions between mineral structures and surrounding media happen at interfaces.Understanding these interfaces is mandatory for the development of functional materials.Modeling mineral interfaces at the atomic level is complex and time-consuming, since 3D objects have to be created using 2D workflows [1].To ease up the creation of complex interfaces and their environment, we employ a newly constructed virtual reality (VR) laboratory [2].The connection of this virtual work space with both experimental data and high preformance computation (HPC) via direct implementation allows not only for the visualization [3], but also the active manipulation of sophisticated materials.As prominent example we show the optimization of gas adsorption on a calcite surface through placing CO2 molecules by hand and subsequent electronic energy minimalization of the resulting structure via Vienna Ab initio Simulation Package (VASP) on a HPC-cluster.The VR-laboratory acts both as the workspace and the graphical user interface (GUI) for the implemented HPC-applications.Setting the initial position and orientation of the small molecule relative to the surface by hand gives a new degree of freedom and ensures that the scientist can focus on the subject instead of handling software.Figure 1: The VR-laboratory lets the scientist try various orientations and positions of the CO2 on the calcite slab in a very fast and intuitive way.The implementation of additional functionalities like a virtual lab book will help to accellerate the workflow significantly.Background databases, to be established until the end of the year, will provide a large amount of chemi cal structures and material information to further enhance the variability of tasks that can be worked on in the VR-laboratory.
Data Denoising in Analog and Digital Domains

In this thesis, we develop various methods for the purpose of data denoising. We propose a method for Mean Square Error (MSE) estimation in Soft Thresholding. The MSE estimator is based on Minimum Noiseless Data Length (MNDL). Our simulation results show that this MSE estimate is a valuable comparison measure for different soft thresholding methods. Two denoising methods are proposed for analog domain: Mean Square Error EstiMation (MSEEM) which minimizes the worst case MSE estimate, and Noise Invalidation Denoising (NIDe) method which is based on the newly prosposed idea of noise signature. While MSEEM shown to be the optimum denoising method for non-sparse signals, NIDe approach outperforms the other well known denoising methods in presence of colored noise. In digital domain we address two interesting problems: 1) simultaneous denoising and quantization method, 2) denoising a digital signal in digital domain. For problem one, we propose a new method that generalizes the idea of dead zone estimation to a multi-level noise removal. An example of this method is shown for hyperspectral image denoising and compression. A digital domain denoising approach pioneers in answering the second problem with only one prior knowledge on the desired signal, that it is digital. The method provides the optimum reconstruction levels in the MSE sense. One of the critical steps of denoising process is the noise variance estimation. As a part of this thesis, we propose a novel noise variance estimation method for BayesShrink that outperforms conventional MAD-based noise variance estimation. Although BayesShrink is one of the most efficient denoising methods, no analytical analysis is available for it. Here, we study Bayes estimators for General Gaussian Distribued (GGD) data and provide the theoretical justification for BayesShrink. This study enables us to generalize the BayesShrink threshold to Generalized BayesShrink which outperforms the BayesShrink itself.
Semantic Web in the expansion of E Commerce

This study focuses on the enhancing the potential of the e-commerce websites with various Semantic web technologies. The involvement of semantic enrichment gives more meaning to the data and makes content more easily discoverable by both search engines and users. Daily thousands of people try searching for a product they are willing to buy and due to the system inefficiency, customers waste a lot of their precious time and resources and also there are a lot of problems with the current e-commerce systems. So, semantic web has certain technologies/languages specifically established for data, i.e. RDF (Resource description framework), OWL (Web ontology language) and XML, etc. which can help overcome the problems and accelerate the business to a higher level where e-commerce websites will be playing an important role.
A note on the OEIS sequence A228059

The OEIS sequence A228059 lists odd numbers of the form p 1+4k r 2 , where p is prime of the form 1 + 4m, r > 1, and gcd(p, r) = 1 that are closer to being perfect than previous terms.In this note, we present the prime factorizations of the first 37 terms of this sequence.We then predict appropriate conjectures for odd perfect numbers, in general.
An Adversarial Attacks Resistance-based Approach to Emotion Recognition from Images using Facial Landmarks

Emotion recognition has become an increasingly important area of research due to the increasing number of CCTV cameras in the past few years. Deep network-based methods have made impressive progress in performing emotion recognition-based tasks, achieving high performance on many datasets and their related competitions such as the ImageNet challenge. However, deep networks are vulnerable to adversarial attacks. Due to their homogeneous representation of knowledge across all images, a small change to the input image made by an adversary might result in a large decrease in the accuracy of the algorithm. By detecting heterogeneous facial landmarks using the machine learning library Dlib we hypothesize we can build robustness to adversarial attacks. The residual neural network (ResNet) model has been used as an example of a deep learning model. While the accuracy achieved by ResNet showed a decrease of up to 22%, our proposed approach has shown strong resistance to an attack and showed only a little (&lt; 0.3%) or no decrease when the attack is launched on the data. Furthermore, the proposed approach has shown considerably less execution time compared to the ResNet model.
Retraction Note to: A New Information Exposure Situation Awareness Model Based on Cubic Exponential Smoothing and Its Prediction Method

The authors have retracted this article [1] because of overlap with doctoral dissertation [2]. Figures 5, 6 and 7 were taken from the dissertation without permission or attribution. Part 2.3 of the article “Evaluation of information Outburst prediction model” quotes the data from this doctoral dissertation and makes some erroneous changes. All authors agree to this retraction.
The Implementation of Critical Literacy Approach towards EFL College Students

Literacy is a crucial aspect in English education that concerns the ability to read, write, then integrate and link what they have learned to daily life. However, several researchers found that there was a lack of literacy activity in Indonesia. Literacy pedagogy was rarely seen in campus life in which it was mostly applied at primary and secondary school levels. Therefore, this study explored the implementation process of critical literacy approach in learning English for EFL college students. An action research methodology was applied in this study involving six EFL college students. The study investigated the benefits and challenges of this teaching approach. The findings indicated that critical literacy approach could improve college students’ English proficiency and multiple skills, such as leadership, presentation, collaboration, self-contribution, respect, critical thinking, and expansion of multiple viewpoints through the discussion section. Improving English proficiency of college students and offering recommendations to EFL teachers for applying critical literacy approach in EFL class come as the expectation of the study.
The Implementation of Chirp Scaling Algorithm Via Fast Fourier Transform

It is necessary to use bulky aperture to produce high resolution images in optical systems.Since frequency in synthetic aperture radar is lower than that of optical systems then even obtaining mediocre resolution in synthetic aperture radar need a bulky antenna.For doing this, it needs antenna with hundreds meters' length [1].An aerial radar can collect data while making advance of distance to few hundred meters and process data in such way that it seems to be obtained from a physically bulky antenna.Synthetic aperture is defined as distance through which a flying object goes to make synthetic antenna.As a synthetic aperture radar moves it sends a pulse to each target.Reflecting echoes are taken by the receiver and kept in an echo-accumulating space.Since relating to the ground the radar is moving, reflecting echoes take Doppler displacement [2].Comparing Doppler displacement frequency to a referent frequency makes it possible that large number of reflecting echo concentrate on one point; as a result, the length of antenna capturing a particular point will be increased effectively [3].To produce image from raw data four algorithms have been developed so far.Among these algorithms Chirp scaling with excellent power of the focusing on the target (higher resolution), optimized processing [4], and simple implementation has been cared for.In spite of the Range Migration and Range Doppler Algorithms this algorithm can be implemented without the need of inter-acquire easily, it can also be used to point and band capturing.In point capturing Range Migration Algorithm, Range Doppler Algorithm, and Chirp Scaling Algorithm are used but in point capturing Polar Algorithm, Range Doppler Algorithm, and Chirp Scaling Algorithm are used.Fourier Transform is used to both implement and phase-keeping effectively.Another advantage of using Chirp Scaling Algorithm in terms of Secondary Range Compression is to provide range for bilateral processing of adapting filter.Secondary Range Compression is an effective method for joining Range-Bearing, it increasingly can be applied to pass large radar beam, large beam width, and high Squint inclination.The structure of paper is as follow: section II present the chirp scaling algorithm.Section III demonstrate the results and conclusion is represented in section IV.
Validation of Linked Lists

Numerous cyberinformaticians would concur that, had it not been for sensor arranges, the strong unification of dissipate/accumulate I/O and neural systems may never have happened. Truth be told, couple of electrical architects would differ with the advancement of deletion coding, which epitomizes the organized standards of machine learning [1]. We investigate an examination of 2 bit models, which we call DigneCere. [1],[ 3],[5]
Increasing personalisation in scientific college courses

I n the U.S., building a diverse science workforce is a national priority.It has been suggested that one million qualified workers are urgently required in the fields of science, technology, engineering, and maths (STEM).But there is a persistent problem with retaining students in these disciplines, and data suggests that only 40% of students who enrol in a STEM course complete their training.
KORELASI PENGUASAAN KOSAKATA BIDANG LINGKUNGAN HIDUP DENGAN KETERAMPILAN MENULIS TEKS BERITA SISWA KELAS VIII MTs.N 2 PESISIR SELATAN

ABSTRACT The purpose of this research there are three. First, describe the environmental field vocabulary mastery of grade VIII MTs.N. 2 southern coast. Second, it describes the writing skills text beritasiswa class VIII MTs.N. 2 SelatanKetiga Coast, describing the correlation field environmental vocabulary mastery with the text of the news writing skills of students of class VIII MTs.N. 2 southern coast. This research type is quantitative descriptive method. The design used is a korelasional design. Population research is grade VIII MTs.N 2 southern coast that are listed in the 2018/2019, i.e., 223 students. The research sample is determined by proportional random sampling of 20% of the population, namely 45 pupils. The results of the research there are three. First, mastery of the vocabulary of the field of the environment students of class VIII MTs.N 2 located on the southern coast of qualifications either (B) with an average value of 78.81. Secondly, the text of the news writing skills of students of class VIII MTs.N. 2 located on the southern coast of qualifications either (B) with an average of 79.54. Third, there is a correlation of mastery of the vocabulary of the field of the environment with the text of the news writing skills of students of class VIII MTs.N 2 southern coast on a 95% confidence level with n-2 degrees of freedom. the value of thitung &gt; ttabel (5.01 &gt; 1.68). Kata Kunci: Korelasi, Kotakata Bidang Lingkungan Hidup, Menulis, Teks Berita
MENINGKATKAN KEMAMPUAN BERBAHASA INDONESIA SISWA SD LUVETA SURABAYA MELALUI LITERASI BERBASIS MEDIA DIGITAL

The purpose of this study was to improve the Indonesian language skills of Luveta Elementary School Surabaya students through digital media-based literacy. This research is a qualitative research. The research subjects were students of SD Luveta Surabaya. Data collection techniques were carried out by means of observation, interviews, and documentation. Based on the results of the study, it was found that digital media-based literacy activities helped students in developing oral and written skills. At the habituation stage is the key to the success of literacy. The average student still has problems because the vocabulary is still lacking so that the ability to compose sentences is still not optimal. However, at the development stage students begin to be able to adapt and be able to understand well the contents of the reading and be able to express opinions with the right diction, the sentence structure still needs to be improved and also needs to practice loading conclusions. While in the third stage of learning, students are getting better because they are able to read with good pronunciation and intonation. Meanwhile, to make student resumes, there are no scores below the average, meaning that the clarity of content, spelling, completeness, wording, and neatness is getting better.
Real Time Service Level Access Restriction using Dynamic OTUP Generation for Improved Security in Cloud

The cloud environment has been identified as the keen platform being used by different cloud users and organizations. The data security has been approached with several techniques like password, attribute based approaches and so on. However, they suffer to achieve higher security performance. To improve the performance, an efficient real time service level access restriction scheme which uses dynamic OTUP (One Time User Password) generation scheme. The method maintains different user information which includes the password details of users. Further, the method collects the one time user password initially. With this, the method restricts the user’s service access by generating OTUP in a dynamic way according to different services. The user has been restricted according to the service and OTUP generation methods. According to this, the method estimates service level trust weight (SLTW) to restrict the user. The methods introduce higher security performance and reduces false ratio.
Virtual Reality for Experiential Education: A User Experience Exploration

Virtual reality technology has made significant advances and is now widely recognised for its potential to provide fully immersive experiences that have relevance to many aspects of life, including education. This paper explores the effectiveness of VR technology for situated experiential education by adopting a user experience (UX) theoretical framing of an example application in tourism education. The trial of a VR-based experiential education tool followed by semi-structured interviews revealed many positive user perspectives that lend strong support for the technology’s use for experiential education, however, several negative experiences were also identified, included the debilitating impact of motion sickness. The UX framework contributes a deeper analysis of the positive and negative experiences by applying the three UX facets, beyond instrumental facet, emotion &amp; affect facet, and the experiential facet, which in combination serve to not only identify key areas requiring improvement but also assists in the prioritisation process. While the exploratory findings promote further engagement with VR to foster experiential education more research is required to locate VR’s broader pedagogical place in tertiary education.
Preface

The 2020 3rd International Forum on Geoscience and Geodesy (IFGG 2020) was planned to be held on November 13-15, 2020 in Shenyang, China. Currently, the entire world is struggling against the virulent pandemic COVID-19. Unfortunately, each of us is affected, either overtly or covertly. Our conference, 2020 3rd International Forum on Geoscience and Geodesy (IFGG 2020) was not an exception. Nowadays, mass gatherings are not permitted by the government. It is uncertain when the COVID-19 would end, so it remains unclear for postponement time, while many scholars and researchers wanted to attend this long-waited conference and have academic exchanges with their peers. Therefore, in order to respond the call of the government actively, and meet author’s request, the IFGG 2020, which was plan to hold in Shenyang, China from November 13-15, 2020, was changed to be held online through Zoom software. This approach not only reduces people gathering, but also meets their communication needs. IFGG 2020 is to bring together innovative academics and industrial experts in the field of geoscience and geodesy to a common forum. The primary goal of the symposium is to promote research and developmental activities in geoscience and geodesy, and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. An ideal platform for seeking global partners had been established. We sincerely invited you to attend the symposium to share views and experiences in geoscience, geodesy and related areas. Committee of IFGG 2020 List of Committee member, Conference Chair, Program Committee Chair, Organizing Committees, International Technical Program Committees are available in this pdf.
Graphs Resemblance based Software Birthmarks through Data Mining for Piracy Control

The emergence of software artifacts greatly emphasizes the need for protecting intellectual property rights (IPR) hampered by software piracy requiring effective measures for software piracy control. Software birthmarking targets to counter ownership theft of software by identifying similarity of their origins. A novice birthmarking approach has been proposed in this paper that is based on hybrid of text-mining and graph-mining techniques. The code elements of a program and their relations with other elements have been identified through their properties (i.e code constructs) and transformed into Graph Manipulation Language (GML). The software birthmarks generated by exploiting the graph theoretic properties (through clustering coefficient) are used for the classifications of similarity or dissimilarity of two programs. The proposed technique has been evaluated over metrics of credibility, resilience, method theft, modified code detection and self-copy detection for programs asserting the effectiveness of proposed approach against software ownership theft. The comparative analysis of proposed approach with contemporary ones shows better results for having properties and relations of program nodes and for employing dynamic techniques of graph mining without adding any overhead (such as increased program size and processing cost).
Efficient User Revocation for Shared Data in the Public Cloud

In cloud computing user can easily share and modify data inside group. Here data integrity can be easily ensured by using the public signature of existing users in the cloud group. By using data sharing services in cloud user can able modify data as a group on cloud. Integrity of these services can be improved using signature of public existing users on group. Shared data is divided into blocks. All users are responsible for modifying data on different blocks. When any user shows malicious activity in group then that user must be revoked for security purpose. So the block modified by that user must be re-signing by existing users in group. Traditional way to re-sign this is to down load part of data and re-sign it at the time of revocation of user. But this approach is not efficient for large amount of data being shared. This paper gives novel method for auditing integrity of shared data and provides effective way for user revocation. It uses the concept of proxy re-signature to avoid the downloading of re-signed block by existing user.
Paperless Smart Classroom Attendance System Using Fingerprint Biometric With SMS Through Rapid Application Development Tool

As people's demand and lifestyle change, the demand for advancing the type of technology used is high.This study aims to provide a computerized system that will be able to provide an accurate, reliable, convenient, timely, and with less cost paperless attendance system in the classroom.The system established is real-time monitoring of student attendance with SMS notifications to parents or guardians.The SMS would serve as a notification if the student went to his or her classes.The system has undergone methods and procedures as well as several tests to obtain the desired outputs.In developing the software, the Rapid Application Development approach was used particularly, VB.NET as the frontend and MySQL on the backend.System development processes were used as a guide in establishing the system.These include conceptualization of the system software, designing of the system software, and implementation and testing of the system software.The results shown in the several tables of tests have proven that the system performs its functions well.Respondents, which include IT experts, have also proven that the system is reliable, functional, and usable.