Reviewerly/exHarmony huggingface dataset:
Multi-Issuer Attribute-based Anonymous Credential with Traceability and Revocation

Attribute-based anonymous credential schemes allow users to obtain credentials from the issuer and prove the possession of their attributes interactively and anonymously with service providers. So far, most existing schemes only consider single-issuer, where some of them are extended to be traceable or revocable. In the reality, anonymous credential schemes under multi-issuer are more practical, since users could query for credentials from different issuers and use some of them simultaneously, which is more efficient than showing them individually. Although there are also multi-issuer schemes where users obtain credentials from different issuers and show an aggregated credential to service providers, however, these schemes lack practical properties, for example, revocation of invalid users. In this paper, we propose a multi-issuer attribute-based anonymous credential with traceability and revocation, which provides traceability of invalid users, and revocation of the specific users. Users receive credentials from multiple issuers and show an aggregated credential of selective disclosures of attributes. We provide the security model of our scheme of anonymity and unforgeability. Finally, we discuss the computational complexity, which shows the practicality and efficiency of our scheme.
The Limitations of Material Science-Could the Rather Limited, Mechanistic, So-Called Scientific Approach to Knowledge be Holding us Back? (Jan 2021)

I still have in my possession a Chladni plate. It is one that I constructed myself as a young lad interested in studying science. It was a way to investigate the vibrational effect that different sound frequencies had on the physical distribution and patterns formed by sand on a metal plate that is vibrated at different frequencies. The areas of greater vibrational amplitude would drive the sand away from the surface to other places of lower vibrational amplitude. It was fascinating to watch different beautiful patterns that would immerge when the plate was subjected to different sound frequencies.
The anomalous magnetic moment of the muon: short overview

We critically review the current status of the muon g−2, where the Standard Model prediction deviates at 4.2σ from the experimental average, which is tantalizing for new physics interpretations.
Designing Information Systems for General Administration Management in Playgroups in North Cimahi District

The process of implementing early childhood education at the playgroup level in its management includes program planning, organizing, implementing work plans, and monitoring. This research will discuss about management at the level of the playgroup which concerns general administration management. Where this general administration management contains important documents regarding the implementation of playgroups which are still being done manually on physical documents that may be damaged, so that important data in these documents experiences the same thing. Therefore, an information system design is needed to overcome these problems. This design uses the prototype method as a method of developing information systems. The results of this design will be used by programmers as material for making information systems
Development of a solar energy forecasting system for two real solar plants based on WRF Solar with aerosol input and a solar plant model

&amp;lt;p&amp;gt;Regional meteorological models are becoming a generalized tool for solar energy production forecasting, &amp;amp;#160;due to their capacity to simulate different types of cloud formations and their interaction with solar radiation. The greater demand for reliable forecasting tools in the energy industry is the motivation for the development of an integrated system that combines the Weather Research and Forecasting atmospheric model package designed to fulfill the needs of solar energy applications (WRF-Solar), with the solaR power plant model. This study focuses on the use and validation of this coupled tool in forecasting the energy production for two real solar plants, one in Spain and another in India. A period of one year for the Spanish emplacement and nine months for the Indian site are simulated with a daily operational forecasting set-up. Aerosol data from the Copernicus Atmosphere Monitoring Service (CAMS) are considered in the calculations, a new capability in WRF-Solar. Power predictions are obtained and compared with real data from the inverters of both plants provided by the operating company.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The results show that WRF-Solar obtains accurate forecasts of global, direct, and diffuse radiation and of the ambient temperature that solaR uses as input to predict the energy production of the solar plants. The normalized Mean Annual Errors (NMAE) is 5.18% in the Spanish and 5.59% in the Indian plant for the first day of predictions, demonstrating a reliable performance of the forecasting system in different climate locations. The skill scores for the second day of prediction are also promising, with practically the same errors as the previous day (5.19% and 6.17 for Spain and India respectively). By comparing the model predictions, with and without AOD input during the dustiest days in the Spanish site, the importance of the aerosol effect inclusion is demonstrated with an improvement up to 10% in the energy forecast. These results demonstrate the system&amp;amp;#8217;s potential both for solar plant operation and energy market applications.&amp;lt;/p&amp;gt;
Analysis of recent advancement in unsupervised deep learning

Deep Learning (DL) has experienced considerable reach and success in the number of various application areas in recent years. The modern era of Machine learning has been rapidly developing and extended to most Convolutional fields of practice, as also to some new fields with more number of opportunities. Based on various categories of learning, numerous approaches have been suggested, including supervised, semi-supervised and unsupervised deep learning. The unsupervised deep learning aims to understand transferable image or video representations without manual annotations. Also, unsupervised approaches are needed when patterns that discern abnormal and normal behavior. In this paper, the recent development methods that are emerged in the domain of unsupervised deep learning are discussed. The various developments in the field of Auto Encoder are explained. The Deep learning structure like Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) is considered as a recent method which is in development for improving the accuracy and to perform the classification in an efficient way.
Stakeholder interpretation of probabilistic representations of uncertainty in spatial information: an example on the nutritional quality of staple crops

&amp;lt;p&amp;gt;Spatial information, inferred from samples, is needed for decision-making but is uncertain. One way to convey uncertain information is with probabilities (e.g., that a value falls below a critical threshold). We examined how different professional groups (agricultural scientists or health and nutrition experts) interpret information, presented this way when making a decision about interventions to address human selenium (Se) deficiency. The information provided was a map, either of the probability that Se concentration in local staple grain falls below a nutritionally-significant threshold (negative framing) or of the probability that grain Se concentration is above the threshold (positive framing). There was evidence for an effect of the professional group and of framing on the decision process. Negative framing led to more conservative decisions; intervention was recommended at a smaller probability that the grain Se is inadequate than if the question were framed positively, and the decisions were more comparable between professional groups under negative framing. &amp;amp;#160;Our results show the importance of framing in probabilistic presentations of uncertainty, and of the background of the interpreter. Our experimental approach could be used to elicit threshold probabilities that represent the preferences of stakeholder communities to support them in the interpretation of uncertain information.&amp;lt;/p&amp;gt;
Developing RAFT Strategy for Learning to Read Non-Literary Texts Based on Adobe Flash in Vocational High Schools

This study aimed to develop the RAFT strategy for learning to read non-literary texts based on Adobe Flash in Vocational High Schools and determine the feasibility of the RAFT strategy for learning to read non-literary texts based on Adobe Flash in Vocational Schools in terms of validation results by lecturers, teachers, and the results of student responses. This research used research and development methods. Sampling used purposive sampling technique. The research phase consisted of (1) needs analysis, (2) product planning, (3) initial product development, (4) expert and teacher validation, (5) initial product revision, (6) student response test, (7) second product revision, and (8) the final product. The needs analysis was conducted in three schools in Kulon Progo Regency, namely SMK Negeri 1 Pengasih, SMK Negeri 2 Pengasih, and SMK Negeri 1 Kokap. This study used data collection instruments in the form of validation sheets for experts and teachers and student response sheets. The result of the research is the RAFT strategy for learning to read non-literary texts based on Adobe Flash in SMK developed consists of three parts. (1) The introductory section, contains the opening title, the instructions for using the buttons, the instructions for the use of RAFT Strategy Development for Learning to Read Non-literary Texts Based on Adobe Flash in Vocational High Schools. (2) The content section consists of non-literary text learning materials for SMK students. (3) The exercise section is in the form of non-literary texts with the RAFT strategy, and answer keys. The development of the RAFT Strategy for Learning to Read Non-literary Texts Based on Adobe Flash in Vocational Schools was assessed for feasibility based on material expert validation, media expert validation, and the results of student responses. The results of the validation by lecturers, teachers, and student responses indicated that the product developed was included in the appropriate category for use. The results of the material expert validation obtained a very good category, with an overall percentage of 94.83%. The results of the media expert's validation obtained a very good category, with an overall percentage of 94.75%. The results of student responses obtained the very good category, with an overall percentage of 80.60%.
Development of Critical Reading Teaching Materials by using Prezi Media in s-1 Students of Indonesian Language and Literature Education Study Program Faculty of Teaching and Educational Sciences University of Lampung

Aim: The aim of the research is to produce critical reading teaching materials using Prezi media, describe the feasibility of critical reading teaching materials using Prezi media, and determine the effectiveness of critical reading teaching materials using Prezi media.&#x0D; Study Design: Research and Development&#x0D; Place and Duration of Study: Graduate Program of Indonesian Bahasa and Literature Education University of Lampung, August 2018 until now&#x0D; Methodology: The method used in this research is research and development (R&amp;D). Data collection techniques adopted are tests, interviews, and questionnaires administered on the S-1 Study Program of Indonesian Language and Literature Education, Faculty of Teacher Training and Education, University of Lampung in Lampung in the 2020/2021 academic session. Product design validation is carried out by relevant experts and practitioner assessments (critical reading lecturers), then tested on students.&#x0D; Results: The results showed that the Critical Reading Teaching Material was successfully developed by Utilizing Prezi Media, the overall feasibility was declared "very feasible" by material experts, media experts, and practitioners with the percentages of 84.2%, 86.22%, and 90.22% respectively; critical reading teaching materials using Prezi media effectively improve critical reading skills with an N-gain value of (0.31), and (0.34) including the "medium"
MOTIVATIONAL AFFORDANCES OF MOBILE INQUIRY-ORIENTED AMBIENCE-AWARE FIELDWORK SUPPORTED BY EDUVENTURE IN JUNIOR SECONDARY SCIENCE EDUCATION FROM THE TEACHER PERSPECTIVE

Information about the paper titled "MOTIVATIONAL AFFORDANCES OF MOBILE INQUIRY-ORIENTED AMBIENCE-AWARE FIELDWORK SUPPORTED BY EDUVENTURE IN JUNIOR SECONDARY SCIENCE EDUCATION FROM THE TEACHER PERSPECTIVE" at IATED Digital Library
INCREASING LEARNING MOTIVATION AND LEARNING OUTCOMES IN MATHEMATICS USING MODULES FOR ELEMENTARY SCHOOL STUDENTS

Abstract. This study aims to look at the use of modules to improve learning motivation and learning outcomes in mathematics for elementary schools. Modules are a source of learning in learning activities. Modules can be either manual or e-modules. The type of data used is secondary data. The method used in this research is the literature study method. The data obtained were compiled, analyzed, and concluded in to get conclusions about the literature study. Based on the research results of literature studies from several research results and books and journal articles, it shows that: (1) the use of modules can increase student motivation. (2) the use of modules can improve student learning outcomes.
Area Efficient Diminished 2n-1 Modulo Adder using Parallel Prefix Adder

Residue Number System has to carry free operation and its various applications like digital signal processing, multimedia, security purpose, and medical perception. Removes of the redundant logic operation require the group carry selection logic which is dependent on Parallel Prefix Adder design. Therefore the logic operation of the preprocessing unit of PPA is simplified form to save logic resources. This modified parallel prefix adder consumes less area as compared to the existing design. In this paper, we propose the parallel architecture based on a parallel prefix tree is helpful for computation at higher speed operation. The reported design consumes 24.1% more area and 26.4% more power compare to THE proposed parallel prefix adder design. The proposed PPA design using modified carry computation algorithm and reported design used diminished-1 modulo 2n+1 adder structure is presented. A presented modulo adder design using the proposed parallel prefix adder and improved carry computation used in the previously proposed design. The proposed diminished-1 modulo (2n +1) adder design shows a 24.5% saving in area-delay-product (ADP).
Realistic model of entanglement-enhanced sensing in optical fibers

Experimental limitations such as optical loss and noise have prevented entanglement-enhanced measurements from demonstrating a significant quantum advantage in sensitivity. Holland-Burnett entangled states can mitigate these limitations and still present a quantum advantage in sensitivity. Here we model a fiber-based Mach-Zehnder interferometer with internal loss, detector efficiency, and external phase noise and without pure entanglement. This model features a practical fiber source that transforms the two-mode squeezed vacuum (TMSV) into Holland-Burnett entangled states. We predict that a phase sensitivity 28% beyond the shot noise limit is feasible with current technology. Simultaneously, a TMSV source can provide about 25 times more photon flux than other entangled sources. This system will make fiber-based quantum-enhanced sensing accessible and practical for remote sensing and probing photosensitive materials.
Effects of Spatial Grid Resolution on the Statistical Power of Testing Earthquake Forecast Models

&amp;lt;p&amp;gt;The Collaboratory for the Study of Earthquake Predictability (CSEP) is an international effort to independently evaluate earthquake forecasting models and to provide the cyber-infrastructure together with a suite of testing methods. For global forecasts, CSEP defines a grid-based format to describe the expected rate of earthquakes, which is composed of 6.48 million cells for a 0.1&amp;amp;#186; spacing. The spatial performance of the forecast is tested using the Spatial test (S-test), based on joint log-likelihood evaluations. The high-resolution grid combined with sparse and inhomogeneous earthquake distributions leads to many empty cells that may never experience an earthquake, biasing the S-test results. To explore this issue, we conducted a global earthquake forecast experiment. We tested a spatially uniform forecast model, which is non-informative and should be rejected by the S-test. However, it is not rejected by the S-test when the spatial resolution is high enough to allocate each observed earthquake in individual cells, thus raising questions about the test statistical power.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The number of observed earthquakes used to evaluate global forecasts is usually only a few hundred, in contrast to the millions of spatial cells. Our analysis shows that for such disparity, the statistical power of tests for single-resolution grids also depends on the number of earthquakes available to evaluate a model. With few earthquakes, the S-test does not allow powerful testing.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We propose to use a multi-resolution grid to generate and test earthquake forecast models, in which the resolution can be set freely based on available data, e.g., by the number of earthquakes per cell. Data-driven multi-resolution grids demonstrate the ability to reject the uniform forecast, contrary to a high-resolution grid. Furthermore, multi-resolution grids offer powerful testing with as minimum as four earthquakes available in the test catalog. Therefore, we propose to use multi-resolution grids in future CSEP global forecast experiments and to further study its application in regional and local experiments, where such sparsity of observations is present.&amp;lt;/p&amp;gt;
Pattern of Body Sway While Viewing 3D Video Clips in Various Age Groups

Objectives: These days, developments in graphical technology have resulted in an increase in the chance to view 3D video clips. Visually induced motion sickness (VIMS) has been widely reported as a negative result of viewing these clips. The onset of VIMS is explained by some hypotheses. However, the root causes of VIMS have not been elucidated yet, whereas dizziness and nausea are regarded as symptoms of VIMS. In this study, we focus on the difference in the pattern of body sway among age groups and examine whether the consistency between the background and the viewpoint motion depends on the severity of VIMS.
Ten predictions for gaming in 2030 and beyond

Few things will be more fun at parties in the future than having a joke-telling competition between people and their robots. Joke-offs will be all the rage at parties in 2030 and beyond.
Pelatihan Design Sederhana Menggunakan Aplikasi Visual Studio 2010 dan SQL Server 2008 Pada Sekolah SMP IT Al Jabar

At this time, along with the development of the times, technology has also developed very rapidly, especially in the field of computers. Where can we know that the development of this technology can help human work. In the world of education, computer science is very necessary so that teachers or students do not lag behind in the development of today's times. For this reason, training in computer science is needed. Many of us know computers only limited to Ms. Office alone because it is often used in everyday life, but actually in computer science there are many applications/programs that can help human work to be easier. For this reason, this training was made to introduce one of the application programs in computer science, namely the application of visual studio 2010 and SQL server 2008. Where this application can create programs according to our wishes to help make our work easier. The object that will be used as the location of service is the teachers at the Al JABAR Middle School. In this service, the team wants to do it in the form of training and talk shows about Simple Design Training Using Visual Studio 2010 and SQL Server 2008 Applications at IT AL JABAR Junior High School. The results obtained at the IT Al-Jabar Junior High School from this activity are that teachers can increase their knowledge in computer science, especially in making simple designs using Visual Studio 2010 and SQL Server 2008 applications which are useful for teaching materials to their students
A Monitoring System of a Hamster Based on Video Image Analysis

This paper proposes a monitoring system for a hamster that uses a video camera.The proposed system first processes the video image taken from the top of the cage, and then extracts features related to posture information and internal state.These features are used to discriminate between daily activities and other activities.This allows the system to alert when the hamster behaves differently from its daily routine.We analyzed the daily behavior of a hamster by using the proposed system.The results showed that the behaviors of a hamster changed when stimuli are given from outside the cage, and the system could discriminate them appropriately.
Improved Spatial Outlier Detection Method within a River Network

A spatial outlier refers to the observation whose non-spatial attribute values are significantly different from those of its neighbors. Such observations can also be found in water quality data at monitoring stations within a river network. However, existing spatial outlier detection procedures based on distance measures such as the Euclidean distance between monitoring stations do not take into account the river network topology. In general, water quality levels in lower streams will be affected by the flow from the upper streams. Similarly, the water quality at some tributaries may have little influence on the other tributaries. Hence, a method for identifying spatial outliers in a river network, taking into account the effect of river flow connectivity on the determination of the neighbors of the monitoring stations, is proposed. While the robust Mahalalobis distance is used in both methods, the proposed method uses river distance instead of the Euclidean distance. The performance of the proposed method is shown to be superior using a synthetic river dataset through simulation. For illustration, we apply the proposed method on the water quality data from Sg. Klang Basin in 2016 provided by the Department of Environment, Malaysia. The finding provides a better identification of the water quality in some stations that significantly differ from their neighbouring stations. Such information is useful for the authorities in their planning of the environmental monitoring of water quality in the areas.
Intergrating STEAM Education in Organization of Activities for Children to be Confidental with Literature Works in Kindly School

Literature has great significance in early childhood education. Introducing children to literary works plays an important role in the preschool education program. Integrating STEAM education in preschool activities in teaching literary works is considered an effective method of educational improvement, in line with the innovation requirements in teaching specific subjects. This teaching approach brings many practical values not only for learners but also for teachers. Through studying the theoretical and practical basis of STEAM education in preschool education, the article explains the suitability of integrating STEAM education in teaching literary works, thereby proposing a practical process. The current paper proposes the integration of STEAM education in organizing activities to familiarize children with literary works in preschool.