Reviewerly/exHarmony huggingface dataset:
Online proctoring system using image processing and machine learning

Different forms of remote education and massive online open courses are gaining reputation. The skill to proctor the online examination is a main essential factor for the scalability for promoting the students for next stage education. Existing manual monitoring is the most approaching method in education either by visually monitoring or by physically accompanying test takers to the examination centre and monitoring them. Learner’s identity verification and proctoring of online examinations is one of the main challenges in online learning systems. The migration and implementation of the online exam have been accelerated during the pandemic COVID-19. So the existing systems need a safe mechanism to authenticate and proctor online students. In this paper, we propose a system for providing the solution for authentication and proctor by using the different biometric technologies. The performance of the proposed system is evaluated by using real time videos with different scenario. The experimental results provide an improved accuracy than existing research works.
SISTEM INFORMASI PEMBELAJARAN ONLINE BERBASIS WEB DI SMK N 1 DEPOK

Although the use of Google Classroom has more or less facilitated learning activities between students and teachers at SMK N 1 Depok, there are still shortcomings and limitations. Attendance performed manually is ineffective and prone to errors during the recap process. Information and announcements related to learning only done through WhatsApp Groups are also not effective because they are often missed by students. Therefore, online learning media is needed using e-learning which is equipped with attendance and announcement features so that teaching and learning activities can be carried out more effectively and efficiently. This e-learning is made in the form of a website using the waterfall method, whose system development uses the PHP programming language and MySQL database. Web development also uses the Laravel and Vue.js frameworks to make the process faster and easier. With this e-learning, teaching and learning activities can be easier because it can be accessed at any time and makes it easier for students and teachers to see announcements and the attendance process and attendance recap no longer need to be done manually.
Analysis of the Quality of Test Tasks for the Discipline «Computational Mathematics»

The test form of tasks with multiple answers can be used quite effectively to test the knowledge of students at all levels of education, but tasks of this type must be designed with particular care. Before entering test tasks in the final examination, it is necessary to evaluate their quality and reliability in order to check exactly the required competencies. It is necessary to analyze in advance whether the questions are formulated correctly and the answer options are selected right, whether the answers - distractors fulfill their function. The article considers a simple analysis of the quality of some specific tasks with answer options in the discipline "Computational Mathematics". The discipline is taught for second year students of information specialties of a technical university, total number of academic hours is 144. The work analyzes tasks for different sections of the course, gives examples of both successful and unsuccessful task formulations.
Relationship Between Change Readiness and organizational Performance of Selected organization in Nigeria

The study investigated the relationship between change readiness and organizational performance in Nigeria. A descriptive survey using a multi-stage sampling techniques was used to collect a sample of 150 respondents that represent the sample. To achieve the objectives of the study, change readiness was captured by five measures namely managerial style, work environment, employee welfare, technological innovation, and employee involvement in change process. On the other hand, organizational performance was captured by five measures namely profit maximization, wealth maximization, customer expansion, solvency, and corporate social responsibility. The finding revealed a significant relationship between organizational effectiveness (managerial style; work environment; employee motivation; technological innovation and employee involvement in change process. The study submitted that readiness of change is instrumental to promoting the effectiveness of organizational performance.
The Album “Guernica” by the “KAT” band: a Musical Representation of a Painting by Pablo Picasso

Relevance of the study. Rock art has a syncretic origin and gravitates towards multi-level synthesis throughout the history of its development. Incorporating elements from other art forms is an essential characteristic of rock music. The trends in the interaction of art forms in the field of rock culture are considered on the example of the concept album “Guernica” by the “KAT” band, dedicated to the cognominal painting by Pablo Picasso. The main source of analysis is the audio recording of the album. The “Guernica” album is a vivid example of an artistic dialogue that takes place on the literary, musical and visual planes.&#x0D; The scientific novelty of the study. The concept album “Guernica” by the Ukrainian hardcore band “KAT”, dedicated to the painting of the same name by Pablo Picasso, for the first time became the object of musicological analysis and is considered as an example of synthesizing trends in the field of rock art.&#x0D; The main objective of the study is to determine the levels of artistic interactions between the concept album “Guernica” by the “KAT” band and the original painting by Pablo Picasso.&#x0D; The methodology is based on the contextual method (to consider rock art as a synthetic phenomenon) as well as methods of holistic (to describe the album), comparative and intermedial analysis (to identify the levels of artistic interaction between a piece of music and the original painting).&#x0D; Results of the study. The concept album “Guernica” by the hardcore band named “KAT” is not just a dedication to the cognominal painting by Pablo Picasso. Аrtistic dialogue between works of art takes place in the visual (album cover), literary (direct descriptions of the elements of the picture, the technique of seeing events from different angles borrowed from visual art, reportage style of texts) and musical plane (recitative intonations, fast drumbeats, extreme vocal techniques); on the descriptive (direct references to the elements of the picture) and emotional and figurative levels. The album is a vivid example of intermediality in the field of rock art.
Probing two-qubit capacitive interactions beyond bilinear regime using dual Hamiltonian parameter estimations

We report the simultaneous operation and two-qubit coupling measurement of a pair of two-electron spin qubits that are actively decoupled from quasistatic nuclear noise in a GaAs quadruple quantum dot array. Coherent Rabi oscillations of both qubits (decay time $\approx$2 μs; frequency few MHz) are achieved by continuously tuning the drive frequency using rapidly converging real-time Hamiltonian estimators. By state conditional exchange oscillation measurements, we also observe strong two-qubit capacitive interaction (&gt; 190 MHz). We show that the scaling of the capacitive interaction with respect to intra-qubit exchange energies is stronger than the bilinear form, consistent with recent theoretical predictions. We observe a high ratio (&gt;16) between coherence and conditional phase-flip time, which supports the possibility of generating high-fidelity and fast quantum entanglement between encoded spin qubits using a simple capacitive interaction.
Robust Anytime Learning of Markov Decision Processes

Markov decision processes (MDPs) are formal models commonly used in sequential decision-making. MDPs capture the stochasticity that may arise, for instance, from imprecise actuators via probabilities in the transition function. However, in data-driven applications, deriving precise probabilities from (limited) data introduces statistical errors that may lead to unexpected or undesirable outcomes. Uncertain MDPs (uMDPs) do not require precise probabilities but instead use so-called uncertainty sets in the transitions, accounting for such limited data. Tools from the formal verification community efficiently compute robust policies that provably adhere to formal specifications, like safety constraints, under the worst-case instance in the uncertainty set. We continuously learn the transition probabilities of an MDP in a robust anytime-learning approach that combines a dedicated Bayesian inference scheme with the computation of robust policies. In particular, our method (1) approximates probabilities as intervals, (2) adapts to new data that may be inconsistent with an intermediate model, and (3) may be stopped at any time to compute a robust policy on the uMDP that faithfully captures the data so far. Furthermore, our method is capable of adapting to changes in the environment. We show the effectiveness of our approach and compare it to robust policies computed on uMDPs learned by the UCRL2 reinforcement learning algorithm in an experimental evaluation on several benchmarks.
PENGEMBANGAN BAHAN AJAR MENGGUNAKAN MODEL ADDIE PADA MATERI STRUKTUR DAN FUNGSI JARINGAN TUMBUHAN SMA KURIKULUM 2013

This study aims to describe the development of teaching materials, Structure, and Function of Plant Networks with the ADDIE Model and material validation as well as product design for teaching materials development using the ADDIE model. This is a research development. I Validation of the media booklet instrument was carried out by two validators, namely material experts (content feasibility aspects, presentation feasibility aspects, and language assessments) and media experts (size, cover design, content design, layout, content typography, as well as illustrations and pictures). The results obtained are the product of the development of teaching materials in the form of a booklet arranged based on the ADDIE model. While the results of the validity test get a total validation mean of 3 for the material in the booklet and 3.87 for the media design of the booklet. Comments from the validators, namely on the material aspect in the form of improving the presentation of the material to make it easier to read, while the media aspect added facts and examples of cells, tissues, and plant organs in the form of photos and illustrationsKata kunci: ADDIE, bahan ajar, jaringan tumbuhan, kurikulum 2013.
Trace Diagnostics for Signal-based Temporal Properties

Most of the trace-checking tools only yield a Boolean verdict. However, when a property is violated by a trace, engineers usually inspect the trace to understand the cause of the violation; such manual diagnostic is time-consuming and error-prone. Existing approaches that complement trace-checking tools with diagnostic capabilities either produce low-level explanations that are hardly comprehensible by engineers or do not support complex signal-based temporal properties. In this paper, we propose TD-SB-TemPsy, a trace-diagnostic approach for properties expressed using SB-TemPsy-DSL. Given a property and a trace that violates the property, TD-SB-TemPsy determines the root cause of the property violation. TD-SB-TemPsy relies on the concepts of violation cause, which characterizes one of the behaviors of the system that may lead to a property violation, and diagnoses, which are associated with violation causes and provide additional information to help engineers understand the violation cause. As part of TD-SB-TemPsy, we propose a language-agnostic methodology to define violation causes and diagnoses. In our context, its application resulted in a catalog of 34 violation causes, each associated with one diagnosis, tailored to properties expressed in SB-TemPsy-DSL. We assessed the applicability of TD-SB-TemPsy on two datasets, including one based on a complex industrial case study.The results show that TD-SB-TemPsy could finish within a timeout of 1 min for ~83.66% of the trace-property combinations in the industrial dataset, yielding a diagnosis in ~99.84% of these cases. Moreover, it also yielded a diagnosis for all the trace-property combinations in the other dataset. These results suggest that our tool is applicable and efficient in most cases.
Analisis Sentimen Evaluasi Terhadap Pengajaran Dosen di Perguruan Tinggi Menggunakan Metode LSTM

Education in Indonesia is divided into several levels, from elementary education to university education. At the university education level, lecturers are asked to not only teach material but also emphasize to students that students have an important role for the future. Due the students are considered as adults to make the decisions and take a responsibility for those decisions. During a pandemic, teaching activities are carried out online, in order the teaching activities run well, the evaluation from students is needed. Considering that students are one of the important elements in university education. In this study, sentiment analysis was carried out on the evaluation of teaching by students. The data used in this study amounted to 2280 data with the number of words in the evaluation text ranging from 3 to 50 words. The LSTM method is the method used in this study, and the results of the accuracy of using the LSTM method are 91.08%. With the analysis carried out, lecturers can improve their teaching methods based on the results of the evaluation analysis.
Contrastive Learning with Boosted Memorization

Self-supervised learning has achieved a great success in the representation learning of visual and textual data. However, the current methods are mainly validated on the well-curated datasets, which do not exhibit the real-world long-tailed distribution. Recent attempts to consider self-supervised long-tailed learning are made by rebalancing in the loss perspective or the model perspective, resembling the paradigms in the supervised long-tailed learning. Nevertheless, without the aid of labels, these explorations have not shown the expected significant promise due to the limitation in tail sample discovery or the heuristic structure design. Different from previous works, we explore this direction from an alternative perspective, i.e., the data perspective, and propose a novel Boosted Contrastive Learning (BCL) method. Specifically, BCL leverages the memorization effect of deep neural networks to automatically drive the information discrepancy of the sample views in contrastive learning, which is more efficient to enhance the long-tailed learning in the label-unaware context. Extensive experiments on a range of benchmark datasets demonstrate the effectiveness of BCL over several state-of-the-art methods. Our code is available at https://github.com/MediaBrain-SJTU/BCL.
EFEKTIVITAS PEMANFAATAN KULTUR LOKAL DALAM BIOREAKTOR PENGOLAHAN AIR LIMBAH KERAJINAN ENDEK

Endek is one of the fabrics that are in demand by local and foreign people. The distinctive pattern of this endek cloth continues to develop while still paying attention to the authenticity of the endek motives from Bali so that it is easily recognized by the public, however, in its production, it produces waste that causes environmental pollution therefore it needs to be managed. One of the easy and efficient textile waste management is a bioreactor by utilizing local culture. Local cultures are indicated as indigenous microorganisms originating from the waste itself. The purpose of this study is to analyze the effectiveness of local cultures in bioreactors in improving wastewater quality and analyze the effectiveness of using local microbial cultures in bioreactors for treating endek wastewater. This study applied a quantitative approach with experimental methods. The processing begins with the growth of biofilms to determine the biomass profile using the Mixed Liquor Suspended Solid (MLSS) method, then the color waste water is stored in an anaerobic reservoir for 24 hours then tested and then processing, later it is inundated for 1 hour before parameter measurement. The parameters tested were COD levels, color content and pH. Based on the results of the study, the optimum MLSS value obtained in the seeding process was 4490 mg/L on the 7th day and the biofilm growth biomass profile of 3240 mg/L on the 22nd day. The utilization of local microbial culture in the bioreactor in this study was effective in reducing the color content parameter by 77% at processing times of 384 and 408 hours, and decreasing pH was only effective at processing time of 6 hours and reducing COD was not effective.&#x0D; Keywords : endek wastewater, local culture, bioreactor, effectivenes
Multiparty Strict Coin-Tossing Protocols Based on the Eigenvalue

The coin-tossing protocol is an important research area in cryptography. It generates a random bit with uniform distribution even if some participants might fraud. However, traditional coin-tossing protocol could not solve the situation of multiparty. It only divides participants into two parts. In this paper, a new kind of multiparty strict coin-tossing protocol based on the eigenvalue of matrix was proposed. First, matrix tampering attacks can be resisted. On the other hand, collusion attack which was caused by the addition of the Lagrange interpolation formula could be overcome. The analysis shows that the correctness and security of both protocols was guaranteed. Based on the above statements, comparing with the classic coin-tossing protocols, the proposed scheme has the advantage of resisting parties aborting, low complexity, and practicability.
TEACHING NARRATIVE TEXT THROUGHMIND MAPPING TECHNIQUE

This research focused on teaching narrative text through mind mapping technique. The objectives of this research were to know and describe the process of teaching narrative writing using mind mapping. The data of this study were qualitative and quantitative. The qualitative data were obtained by observing the teaching-learning process during the implementation of the actions and interviewing the students and the collaborator about the implemented actions. The qualitative data were in the forms of field notes and interview transcripts. Meanwhile, the quantitative data were gained by assessing the students’ writing skill through the pre-test and the post-test. Therefore, the quantitative data were in the form of students’ writing scores in the pre-test and the post-test. The results of this study showed that the use of the mind mapping was effective to improve the students’ writing skill. The use of colorful pictures of mind mapping in the BKOF and MOT stages was effective to make the students more enthusiastic in the writing activities. The writers found that the student’s problems in writing were that the students were confused to develop their ideas because they did not have many vocabularies. Furthermore, the students had problems in matters of capitalization, punctuation, grammatical error, and organization. They also needed too much time to finish their writing.
Convolutional Neural Network for Cataract Maturity Classification Based LeNet

The eyes are one of the vital organs owned by humans. One of the common eye diseases is cataracts. This disease is characterized by clouding of the lens of the eye and can interfere with vision. Worst case, sufferers can experience blindness. Cataract maturity can be divided into four categories, namely incipient, immature, mature, and hypermature. Cataracts can be removed through surgery when the cataract is in the mature or hypermature phase. Cataract examination is usually done using a slit lamp. The lack of hospitals that have this equipment can cause delays in the healing process for cataract sufferers. This study created an image processing algorithm for the maturity classification process of cataracts using the Convolutional Neural Network method with LeNet network architecture. The algorithm that has been built is capable of classifying the maturity of cataracts with an accuracy rate of 93.33%
Multi-programming Cross Platform Benchmarking for Quantum Computing Hardware

With the rapid development of quantum hardware technologies, benchmarking the performance of quantum computers has become attractive. In this paper, we propose a new aspect of benchmarking quantum computers by evaluating the limitation of hardware utilization using a multi-programming mechanism -- a technique that simultaneously executes multiple circuits in a quantum machine. This is the first attempt to compare the evaluation of multi-programming on trapped-ion and superconducting devices. Based on the experimental results, performing multi-programming on a trapped-ion device demonstrates better results than a superconducting machine without losing any fidelity to independent executions.
Legal Status And Regulation Of Crypto-Assets

Blockchain and distributed ledger technologies are disrupting the world as we know it.Cryptocurrencies are increasingly been adopted not only by a large number of retail investors but financial institutions and even countries are embracing them.Nonetheless, there is a significant number and types of cryptocurrencies and, their treatment will likely depend on their legal status, use, and nature.Some jurisdictions may equate the legal status of cryptocurrencies to commodities or property, others may consider them to be digital currencies or legal tenders, while others may treat them as securities, financial instruments, or as a different asset class such as digital assets.Consequently, countries may regulate a cryptocurrency in different legal categories and might be overseen by a range of authorities depending on their use case and nature.This article aspires to shed some light on legal grey areas by studying how cryptocurrencies are regulated in a variety of jurisdictions and how their legal status is defined.
English Peer Counseling to Engage Students’ Speaking Confidence and Motivation in Higher Education

Textbook-based teaching commonly used in the ELT context in Indonesia results in a hard stimulation for students to speak more since the focus is reading skills. Activating peers' activities through English peer counselling in teaching speaking is one of the effective ways to promote students’ confidence and motivation in speaking. It is an activity conducted by peers that focuses on developing fundamental skills, especially speaking. This research aims to know the students' thoughts about English peer counselling toward their confidence and motivation in speaking. This research is qualitative research with a case study design. The researcher used a questionnaire as an instrument to collect the data. The questionnaire was given to 115 students of the English Education Program who joined the activity. The result shows that the first indicator reached 58,1%, which belongs to the neutral category. In comparison, the second indicator reached 91,4%. The final score for indicator one and indicator two was 79,8%. It indicates that students positively perceive English peer counselling to engage their speaking confidence and motivation. The activity encourages students to be more active in small conversations and discussions. They have better confidence in talking to their peers, which also gains their motivation. Similar research about English peer counselling for different skills, e.g. reading, writing, and listening, is highly possible to conduct.