Reviewerly/exHarmony huggingface dataset:
The development of blockchain privacy protection: from Bitcoin to Monero

In the age of virtual currency's prosperity, the privacy of virtual currency cannot be ignored. By comparing the degree of privacy of Monero and Bitcoin and analyzing the technical background of Monero, it is found that the encryption method and privacy of Monero will become a major mainstream trend leading to the digital currency in the future. Through the discussion of the privacy, security, and non-traceability of Monero, we found that the security of Monero is obvious to all. The forecast of future market analysis compares the future development trend, market supply, and profitable rate of return of Monero and Bitcoin, confirming that Monero's market outlook is very impressive. Facing the emergence of digital currencies such as Zcash and Dash, Monero will still become the mainstream currency that will lead the development of digital currencies in the future.
An analysis of elementary school teachers’ perceptions and utilization status on elementary English, reading and writing, using applications and platforms producing improvement plans

The purpose of this study is to examine elementary school teachers’ perceptions and utilization status on elementary English, reading and writing, using applications and platforms proposing improvement plans. A survey was conducted with a total of 50 elementary teachers that taught English, reading and writing, while using applications and platforms. The survey consisted of the following three categories: 1) teacher statistics, 2) teachers’ perceptions and utilization status of implementing applications and platforms, 3) difficulties in applying applications and platforms. Also, four elementary English experts participated in the semi-structured interview in order to discuss the results of the survey. Summarizing the survey and interview results, most of teachers showed a high degree of satisfaction in utilizing applications and platforms. They noticed the advantages of using applications and platforms are customized learning, learning management system and students’ interests. However, while using applications and platforms teachers experienced problematic factors that included lack of budget, deficiency of technology literacy, burden of work and differences in students’ proficiency levels. Based on these results, implications and suggestions for effective utilization of applications and platforms on elementary English, reading and writing, are discussed resulting in improvement plans.
Self-guided smartphone excursions in university teaching &amp;#8211; experiences from exploring &amp;#8216;Water in the City&amp;#8217;&amp;#160;

&amp;lt;p&amp;gt;The pandemic has changed teaching dramatically. Similar to many other university teachers, we were faced with an unprecedented situation when the university closed in spring 2020, a few weeks after the start of the semester. In this presentation, we report and discuss our experiences from teaching a first-year Bachelor level introductory course in Hydrology with almost 200 students. In particular, we focus on the excursion for this course. We were in the fortunate position that we had started to develop a new smartphone-based self-guided excursion on the topic of &amp;amp;#8216;Water in the city&amp;amp;#8217;. We accelerated this development and used it to replace the traditional group excursion, which had to be cancelled. We used the self-guided excursion again in 2021.The student feedback was overall very positive, and therefore we plan to continue to use the excursion in the coming years. In this presentation, we describe the excursion, discuss the experiences of the students, and present materials and ideas that could be useful for similar excursions at other universities.&amp;lt;/p&amp;gt;
A phase error compensation algorithm for white light phase shift interferometry

Due to its sensitivity to noise, the instability of phase-shifting devices and environmental vibration, white light phase shift interferometry is prone to modulation positioning errors and phase errors. This paper proposes a high-precision phase error compensation method, and establishes a white light phase shift interference model with phase error estimation. This method can calculate and compensate the phase error in the classical phase shift algorithm. The simulation results show that the proposed method can effectively improve the accuracy of phase shift interferometry compared with the classical phase shift interferometry algorithm.
A Study on the Improvement of the Learning Efficiency of Korean loanwords by Japanese Speakers based on comparison of Korean and Japanese loanwords Notation: focusing on English borrowde words

본고에서는 일본어 화자가 한국어의 외래어를 학습할 때 효과성을 높이기 위한 방안을 모색해보고자 한다. 한국과 일본 모두 외래어 표기규정을 통해 외래어 표기 및 발음의 효율성을 기하고 있다. 둘 다 표음주의의 원칙에 의하여 외래어를 표기하고 있지만 양국의 음운환경이 다르기 때문에 동일한 외래어를 다른 음운과 연결시켜 표기하고 발음한다. 이것이 일본어 화자가 한국어 외래어를 학습할 때 어려움을 느끼는 가장 큰 요인이다. 본고에서는 먼저 양국 외래어 표기규정을 비교하여 공통점과 차이점을 살펴보았다. 그리고 영어계 외래어를 중심으로 원지음의 음소별로 한글과 카나의 문자가 서로 연결될 때의 규칙성을 살펴보았다. 이러한 규칙성을 인지하고 학습한다면 일본어 화자가 한국어 외래어를 학습할 때 효율성이 제고할 수 있을 것이다.This study aims to find ways to enhance the effectiveness of Japanese speakers when learning loanwords in Korean. Both Korea and Japan are making the efficiency of loanword notation and pronunciation through loanword notation regulations. Both are written in loanwords by the principle of leopardism, but because the phonological environment of both countries is different, the same loanword is linked with other phonological words and pronounced. This is the biggest factor that Japanese speakers have difficulty learning Korean loanwords. In this study, first, the commonality and differences were examined by comparing the loanword notation regulations of both countries. And the regularity of the connection between Hangeul and Kana was examined by phonemes of native pronunciation, focusing on English Borrowed Words. If the regularity is recognized and learned, the efficiency of Japanese speakers can be improved when learning Korean loanwords.
Trajectory Planning and Optimization of Robotic ARM

Automation of processes through the use of industrial robots is a critical component of the transition to Industry 4.0. This paper aims to present the design of a biomedical robotic manipulator and attempt to simulate its trajectory in a virtual environment. The task of collecting samples for COVID-19 serves as a case study for the manipulator. Using the CAD tool, a suitable design was developed to meet the task requirements. After determining the end effector waypoints, path planning was carried out. Following that, a cubic polynomial trajectory was implemented in the MATLAB environment to obtain the time-scheduled third-order trajectories of the robot joints. Finally, the trajectory optimization algorithm based on the concept of via-points was developed to reduce the energy consumed by the robot while performing the task. The results from the optimization algorithm showed the energy savings of approximately 28% by following the optimized trajectory.
The Causes of the Phenomenon of “Washing Drafts” in Self-media and Administrative Regulatory Measures

In recent years, the phenomenon of self-media manuscript washing has become more and more intense. Due to a series of reasons such as the spread of the bad atmosphere in the self-media industry, the absence of gatekeepers in the internet age, the limited regulatory measures on the self-media platform, and the unclear legal definition, this chaos cannot be effectively regulated so far. From the perspective of administrative regulation, this paper proposes measures such as clarifying the legal basis for administrative supervision, determining the main body of supervision, and reasonably determining the obligations and responsibilities of the platform, to provide a useful reference for curbing the phenomenon of manuscript washing.
The Influence of Collaborative Learning on Students’ Achievement in Examining Functions with Parameters in Dynamic Software Environment

In this paper, the influence of collaborative learning of functions, algebraically represented as functions with parameters, in GeoGebra environment is analyzed. The research presented in this paper is the continuation of the research in Bozic and Takaci (2021), conducted at the University of Novi Sad, Serbia, with two groups of students, the experimental and the control one. The students in the experimental group learned in small, four member groups and the students in the control group learned individually. The students from both the groups learned in GeoGebra environment. The students’ learning achievements in examining properties of functions with parameters is analyzed and compared. It is proved that it is better when the students work in collaborative groups than when they learn individually.
A contrastive study on the vocabulary of Korean textbooks by elementary and middle school levels in Korea and Japan

This paper explores differences in national language textbooks for elementary and middle schools between Korea and Japan, which are currently in use as of 2020, with a focus on the different school levels.<BR> To this end, the purpose of this study is to reveal characteristics of elementary and middle school textbooks by country in the semantic distribution of the vocabulary, on the basis of BunruiGoihyo(1964, 2004). Findings will also be compared with those in my former study in 2018, which analyzed middle and high school textbooks revised before 2016.<BR> In <high level classification> that divided the target vocabulary into five, significant differences were observed in <1.4 Product and Tool> and <1.5 Natural object and Natural phenomenon> in elementary school for both countries. This was an item that also showed a significant difference in middle school in my former study in 2018.<BR> In the end, it was clarified that the higher the school level, the fewer the words appearing in the corresponding area. Meanwhile, there was a more significant difference in Korean middle schools than in elementary schools in <1.3 Human activity, Mind and Behavior>. In Japanese middle schools, there was a significant difference in <1.2 Principal agent of human activity>, which shows the characteristics that elementary schools are nature and animal centered. In <middle level classification> that divided the target vocabulary into 43 categories, there were significant differences in about 20 items between elementary and middle schools in both countries, and the trend is also the same as the ‘<high level classification>.<BR> Elementary schools in Korea showed high significance in the order of machinery, animal, dwelling, living organism, nature/object, and tool, and Japanese elementary schools in the order of animals, nature/object, material and road/civil engineering. On the other hand, there were significant differences in foodstuff, duty, body, exchange and culture/history in Korean middle schools, whereas the significant differences were found in the order of human, economics, members/position, governance/politics, nation/region and partner/colleague in Japanese middle schools. There are differences in the theme and claims of textbooks between the two countries, to the extent that there is little in common between these two countries.
Automatic Marking based on Deep Learning

In order to solve the problem of a lot of time and energy being wasted when the marking teacher corrects the test papers, this paper proposes an automated test paper correction system based on deep learning. The system is roughly divided into three modules: text extraction from test papers, text encoding and text matching. Using the method of combining DB and CRNN to extract text from the test paper, it has a high accuracy of text recognition; and respectively uses the BERT pre-training model and cosine similarity as the method of text encoding and text matching. The experimental results prove that the automated test paper The average result of the correction system and the scoring teacher's score is only 0.5, which achieves an excellent evaluation effect.
Seismic to aseismic slip scaling during fluid injection experiments

&amp;lt;p&amp;gt;A growing number of direct and indirect measurements and observation indicates that aseismic slip transients are often induced during fluid injection operation alongside with swarm-like seismicity. The detection of fluid-induced aseismic slip has made a paradigm shift on our understanding of the spatio-temporal evolution of earthquake activity during injection operation, classically interpreted as triggered by a diffusive front of high pore pressure. Instead, unclamping of the fault by pressurization induced by fluid injection creates the condition to nucleate synchronous aseismic and seismic slip transients.&amp;amp;#160; In this scenario, the spatio-temporal evolution of the induced seismicity is driven by the stressing rate imparted at the leading edges of the aseismic rupture front. However, the relationship between the magnitude of aseismic slip and the hydraulic energy input in the system remains still elusive. A similar mechanism has been proposed for natural earthquake swarms triggered by shallow (5-10 km depth) slow slip events (SSEs), for which a robust power-law scaling has been demonstrated between seismic and aseismic slip. Notably, the power-law moment scaling of shallow SEEs and associated earthquake swarms has been interpreted with a mechanism of fault pressurization enhanced by intense fracturing in a seismogenic volume with abundance of crustal fluids. Similar fault conditions are at play for fluid-induced seismicity. Here, we collected several case studies of recorded induced aseismic deformation during injection experiments together with the accompanying seismic activity. We investigated the spatial distribution and temporal evolution of the seismicity with respect to the ongoing transient aseismic slip. We focused in particular on the seismic and aseismic slip budget of induced seismicity and compared it with previous scaling of SSEs. The aseismic and seismic moments of induced events are compatible with the power-law scaling of shallow natural earthquakes swarms triggered by SSEs, although a data gap exits for SSEs in 0-4 magnitude range, where no SSEs have never been recorded due to the low resolution of surface geodetic instrumentation. We performed also numerical simulation using a 3D hydro-mechanical model using realistic fault and hydraulic parameters in order to fill in the data gap. Our results serve as a basis to build up empirical models that incorporate aseismic slip together with injected volume and pressure to forecast seismicity during fluid-injection experiments.&amp;lt;/p&amp;gt;
A comparison of explainable AI solutions to a climate change prediction task

&amp;lt;p&amp;gt;In climate change research we are dealing with a chaotic system, usually leading to huge computational efforts in order to make faithful predictions. Deep neural networks (DNNs) offer promising new approaches due to their computational efficiency and universal solution properties. However, despite the increase in successful application cases with DNNs, the black-box nature of such purely data-driven approaches limits their trustworthiness and therefore the useability of deep learning in the context of climate science.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The field of explainable artificial intelligence (XAI) has been established to enable a deeper understanding of the complex, highly-nonlinear methods and their predictions. By shedding light onto the reasons behind the predictions made by DNNs, XAI methods can serve as a support for researchers to reveal the underlying physical mechanisms and properties inherent in the studied data. Some XAI methods have already been successfully applied to climate science, however, no detailed comparison of their performances is available. As the number of XAI methods on the one hand, and DNN applications on the other hand are growing, a comprehensive evaluation is necessary in order to understand the different XAI methods in the climate context.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this work we provide an overview of different available XAI methods and their potential applications for climate science. Based on a previously published climate change prediction task, we compare several explanation approaches, including model-aware (e.g. Saliency, IntGrad, LRP) and model-agnostic methods (e.g. SHAP). We analyse their ability to verify the physical soundness of the DNN predictions as well as their ability to uncover new insights into the underlying climate phenomena. Another important aspect we address in our work is the possibility to assess the underlying uncertainties of DNN predictions using XAI methods. This is especially crucial in climate science applications where uncertainty due to natural variability is usually large. To this end, we investigate the potential of two recently introduced XAI methods &amp;amp;#8212;UAI+ and NoiseGrad, which have been designed to include uncertainty information of the predictions into the explanations. We demonstrate that those XAI methods enable more stable explanations with respect to model noise and can further deal with uncertainties of network information. We argue that these methods are therefore particularly suitable for climate science application cases.&amp;lt;/p&amp;gt;
A Cognitive Study on Teachers’ Efficacy of PED and M.PEd Students in Dawange University

In order to execute all programmes successfully in the educational sector, human resources are important. Teachers are the most needed resources for the smooth execution and achievement of the educational objectives and policies in the classroom practically. Teacher effectiveness is a critical area of inquiry that has emerged through the years among educational researchers. In this study, teacher effectiveness is linked to student engagement. The higher the teacher's effectiveness, the greater the tendency for the learner to be actively engaged, which will eventually lead to students academic gains. Teacher effectiveness predominantly influences student academic growth. Sometimes, when a student does not perform well on a test, it is generally assumed that only the student is responsible for his or her poor performance. In fact, one of the strongest reasons might be the poor teacher's performance. In that case, the student, being a primary consumer of the teacher's services, can be better informed about the teacher's effectiveness. Student surveys can be effective and trustworthy sources for teacher evaluation and the best sources of teacher quality. Purpose: The purpose of the study was to know the student's perception about teacher effectiveness between B. P. Ed and M. P. Ed students of Davangere University. Procedure: The selected sample consists of eighty (N=80) physical education students, forty students from each of the B. P. Ed and M. P. Ed programs. The subjects studied at Davangere University at the Shivagangotri campus during the academic year 2020-21. The Teacher Effectiveness score of the subjects was obtained by the Teacher Effectiveness Scale in Higher Education Questionnaire. Statistical Technique: The data collected to achieve the purpose of the study was tested with a paired sample‗ t' test statistical technique was applied. The level of significance was set at 0.05. Data was analysed by using the statistical package for social science (SPSS) 28th version. Results: There was a significant difference in students' perceptions of the teacher's relational competence between B.
Maneuvered Network Traffic Profiling

The significance of network technology rise with the users exigencies upon cyberspace. Internet Traffic Management (ITM) system is responsible for monitoring and analyzing the incoming and outgoing traffic over the internet. Since the flow of traffic over network is spoofed, the packet dropping transpire due to the high volume of request to the user commending a breach into the network. Upon such scenarios, traffic classification over the network falters so as to group the spoofed traffic. In order to overcome the classification problem for the spoofed traffic, we propose a method 0/1 Game Theory (GT). In our proposal, a decision making system is introduced for classifying and defending against the spoofed traffic on basis of payload traffic. Our analysis grass-roots from real time traffic and scenario based approach on payload; an optimal strategy that is procured applying Nash equilibrium. We carried out our experiments to exhibit the potency of our methodology.
Adding Quantization to the NetCDF C and Fortran Libraries to Enable Lossy Compression

&amp;lt;p&amp;gt;The increasing volume of Earth science data sets continue to present challenges for large data producers. In order to support lossy compression in the netCDF C and Fortran libraries, we have added a quantize feature for netCDF floating point variables. When the quantize feature is enabled, the data creator specifies the number of significant digits. As data are written, the netCDF libraries apply a quantization algorithm which guarantees that the number of significant digits (for BitGroom and Granular BitRound algorithms) or bits (for BitRound algorithm) will be preserved, while setting unneeded bits to a constant value. This allows zlib lossless compression (or any other lossless compression) to achieve better and faster compression.&amp;lt;/p&amp;gt;
The Whateverse

Hear from an XR Pioneer with roots at Apple, Echo Frames, Hololens, Second Life, Keyhole (became Google Earth), Disney and more. Imagine 10–20 years from now, we’ll each have a pair of contact lenses that can create AR and VR as well as we want (except maybe touch, taste, and smell). By then, the words “AR,” “VR,” and “Meta” will likely be relegated to academic writing and old-timey company branding in favor of something hip, now and organic.The future User Experience is a bit easier to project. Open your eyes and you’ll see 3D holograms in the real world perfectly mixed with real objects and people. Close your eyes (or otherwise elide the natural light) and you can be virtually anyplace else. Audio must also mix perfectly. But AR and VR are only two points on a spectrum. If you start with AR and add enough virtual stuff to distract you from reality, you’re effectively in VR. If you add digitized 3D “twins” or otherwise live camera feeds of your real-world environment into VR, you’re essentially back in AR again, or at least a simulation of it.
A Study on the Practice of Art Class as Peace and Unification Education Focusing on DMZ Art Peace Project

본 연구는 평화·통일교육으로서의 미술 수업 실천 가능성 탐색과 시사점 도출을 목적으로 한다. 이를 위해 교육과정 주변부에 머물고 있던 평화·통일교육을 중학생을 대상으로 한 프로젝트 기반 미술 수업으로 재구성하였다. 학생들은 창작, 토론, 발표 등을 통해 ‘비평화적 요소’를 인식하고, 예술적으로 사유하는 경험을 하였다. 연구 결과, 시사점은 다음과 같다. 첫째, 프로젝트 미술 수업 과정을 통해 학생들은 자기 안의 ‘혐오’, ‘갈등’, ‘편견’을 마주하고, 타인의 감정과 상황을 공감하게 되었 다. 둘째, 사회적 문제와 갈등 상황에 대해 비판적으로 성찰하게 되었다. 셋째, 평화의 의미와 가치를 재고하고 실천해나가고자 하는 평화 역량을 증진시켰다. 본 연구는 평화·통일교육으로의 전환 이후, 교육과정 내 교수·학습 자료가 부족한 상황에서 평화·통일교육의 미술 수업을 실천하였다는데 의미가 있으며, 평화교육적 관점에서 삶과 밀접한 학습자 중심의 수업을 제시 하였다는 점에 의의가 있다.The purpose of this study is to explore the possibility of practicing art classes as an education for peace and unification and to draw implications. For this purpose, peace and unification education, which had stayed in the periphery of the curriculum, was reorganized into project-based art classes targeting middle school students. Students recognized the non-peaceful element through creation, discussion, and presentation, and experienced artistic thinking. As a result of the study, the implications are as follows. First, through the project art class, students faced ‘hate’, ‘conflict’, and ‘prejudice’ within themselves and came to empathize with the feelings and situations of others. Second, Students became critically reflective about social problems and conflict situations. Third, it improved the peace capacity to reconsider and practice the meaning and value of peace. After the transition to peace and unification education, it is meaningful that art classes of peace and unification education were practiced in the absence of teaching and learning materials in the curriculum.