Reviewerly/exHarmony huggingface dataset:
Fairness-aware Outlier Ensemble

Outlier ensemble methods have shown outstanding performance on the discovery of instances that are significantly different from the majority of the data. However, without the awareness of fairness, their applicability in the ethical scenarios, such as fraud detection and judiciary judgement system, could be degraded. In this paper, we propose to reduce the bias of the outlier ensemble results through a fairness-aware ensemble framework. Due to the lack of ground truth in the outlier detection task, the key challenge is how to mitigate the degradation in the detection performance with the improvement of fairness. To address this challenge, we define a distance measure based on the output of conventional outlier ensemble techniques to estimate the possible cost associated with detection performance degradation. Meanwhile, we propose a post-processing framework to tune the original ensemble results through a stacking process so that we can achieve a trade off between fairness and detection performance. Detection performance is measured by the area under ROC curve (AUC) while fairness is measured at both group and individual level. Experiments on eight public datasets are conducted. Results demonstrate the effectiveness of the proposed framework in improving fairness of outlier ensemble results. We also analyze the trade-off between AUC and fairness.
Doubly geometric quantum control

In holonomic quantum computation, single-qubit gates are performed using driving protocols that trace out closed loops on the Bloch sphere, making them robust to certain pulse errors. However, dephasing noise that is transverse to the drive, which is significant in many qubit platforms, lies outside the family of correctable errors. Here, we present a general procedure that combines two types of geometry -- holonomy loops on the Bloch sphere and geometric space curves in three dimensions -- to design gates that simultaneously suppress pulse errors and transverse noise errors. We demonstrate this doubly geometric control technique by designing explicit examples of such dynamically corrected holonomic gates.
Study on replication of a nonlinear dynamical system’s trajectory using a machine learning technique

Abstract Nonlinear system exhibits various solution orbits depending on varying parameters. It is important to detect the system’s behavior. In some cases, however, the mathematical modeling of the dynamic is completely unknown. By using a recent advance in the Machine Learning technique named Reservoir Computing, we replicate the solution orbits based only on data collected along with time evolution. We numerically confirm the effectiveness of Reservoir Computing in time series prediction.
Design Of The Autonomous Learning System For Students In Remote Open Education Based On Mooc

In order to realise the new education mode of students' autonomous learning and meet the learning needs of open education, this paper proposes the design of students' autonomous learning system based on MOOC. First of all, the embedded scheduling method is used to sample the students' information, the distance open education independent learning resources are used, and the sampling information and statistical average analysis method are used to control the students' autonomous learning mode in MOOC. Through the adaptive optimisation of machine learning, the autonomous learning system of students in distance open education is optimised and simulated. The result shows that this method has a good adaptive ability in distance open education, and effectively enhances the autonomous learning ability of distance education students.
Implementasi Algoritma Market Basket Analysis dengan Metode Association Rule Apriori Untuk Transaksi Penjualan Di Talenta Cafe Berbasis Android

Point of sale (POS) mobile application using a priori assocition rule aims to facilitate employees in giving favorite menus or best sellers to entrants in Talenta Cafe. Also making transactions easier. Previously, working on transactions and making reports were done manually in the books. To get the results of the transaction, the cafe owner often has problems in the calculation of transactions such as data not in accordance with the items sold. And some consumers do not know the favorite menus in Talenta cafes. To overcome some of these problems, the design of POS applications with the a priori association rule method is expected to increase sales transactions at Talenta Kafe. In this study, the writer uses the basket market algorithm with a priori association rule method, for designing applications using the Unified Modeling Language (UML) and testing applications using the International Organization for Standardization (ISO) 9126, besides that in designing databases using XML web services and in terms of The author's application implementation uses the application of JAVA mobile programming language that is using IONIC. From the results of this study it can be concluded that the Point of Sale (POS) mobile application using a priori android based assocition rule method, can help cafe owners, cashiers, and employees in increasing sales transactions at Talenta Kafe, so that the transaction data obtained during the field is also accurate and (real) facts.
Increasing Mathematics Performance of Grade 8 Learners through Computer-Based Interactive Learning Activities

This study aims to determine the effectiveness of Computer-Based Interactive Learning Activities (CBILA) in Increasing Mathematics Performance of Grade 8 Learners. The pretest-posttest quasi-experimental design and purposive sampling technique were used. There were 80 heterogeneous learners involved in this study, 40 students in the CBILA group and 40 students in the Traditional Methods of Teaching (TMT) group. The experimental group was exposed to CBILA with guided learning materials that include activities and exercises in audio-visual presentations and interactive multimedia format. The scores were taken from the pretest-posttest of Quarter 4 Math 8 subject. Students’ performance in mathematics was described from the mean scores. A t-test analysis was conducted to determine the significant difference between the pretest and posttest scores of the two groups. Findings showed that before the conduct of the study, the two groups have the same performance at the beginning of the experiment. The posttest scores in the CBILA group were noted to be significantly better compared with those in the TMT group. The performance in Mathematics of the learners taught using CBILA was better than those students taught using TMT. The results of this study showed that technology-based teaching and learning when introduced to and utilized by learners were effective in increasing the mean percentage score. Hence, it is recommended to use CBILA in other learning areas to confirm the result of the experiment. Furthermore, CBILA can be implemented in other schools to supplement its effectiveness and to maximize its use in the future.&#x0D; Keywords: Computer-Based Interactive Learning, Traditional Method of Teaching, Mathematics Performance, Comparative Study
A Study on the Application of Bayesian Networks in the English Proficiency Test in Higher Vocational Colleges

By using Bayesian network and the K2 algorithm, a test model of vocational English application ability can be established. Through the Bayesian network classifiers, it can analyze the English application ability of comprehensive factors. As a result, we could find that the Bayesian network classifiers will affect the application of English ability. Through the analysis of these factors, and according to the analysis of the data for verification, it shows that the results of the validation are in conformity with the actual situation, and through the study of the application of the model, the direction for higher vocational students of English learning can be indicated, which can be used to support the management and reform in higher vocational colleges.
Quantum-inspired Multimodal Fusion for Video Sentiment Analysis

We tackle the crucial challenge of fusing different modalities of features for multimodal sentiment analysis. Mainly based on neural networks, existing approaches largely model multimodal interactions in an implicit and hard-to-understand manner. We address this limitation with inspirations from quantum theory, which contains principled methods for modeling complicated interactions and correlations. In our quantum-inspired framework, the word interaction within a single modality and the interaction across modalities are formulated with superposition and entanglement respectively at different stages. The complex-valued neural network implementation of the framework achieves comparable results to state-of-the-art systems on two benchmarking video sentiment analysis datasets. In the meantime, we produce the unimodal and bimodal sentiment directly from the model to interpret the entangled decision.
TRANSFER LEARNING-BASED DONGGAN SPEECH RECOGNITION FOR COMMUNICATION BETWEEN TEACHER AND STUDENT

Motivation: The proposal of the national "One Belt and One Road" strategy has gradually strengthened the connection between the central Asian countries and China, and many Chinese universities have Donggan students who come to study and exchange. Due to language differences and the lack of teachers proficient in Donggan, there are many communication barriers in classroom teaching. To solve the problem that teachers fail to understand students' ideas, we propose a Donggan speech recognition method for Donggan students' classroom teaching.Method: This paper proposed a speech recognition method based on a transfer learning strategy to guide the training of the low-resource Donggan language model and acoustic model by learning resource-rich source domain knowledge. Due to the high similarity in language composition between Donggan and Mandarin, when the target task is Donggan speech recognition, we choose Mandarin speech recognition with abundant corpus as the basic task to construct the corresponding Donggan speech recognition system through transfer learning. In the model training stage, we first keep the original network structure the same, and only the output layer of the network is replaced based on the fine-tuning method. Then we train the whole model with a small learning rate for the target domain task. Finally, we adopt the transfer learning strategy on the pre-training model to expand the training data in the target field and improve the model's generalization ability. Result:In the experiment, we constructed a corpus that includes 4,616 sentences, lasting 6 hours, recorded by five male native speakers of Donggan, each of whom recorded 923 sentences. The training set, verification set, and test set of each experiment are carried out in a ratio of 8:1:1. Experimental results show that the proposed transfer learning strategy for Donggan speech recognition reduces the word error rate to 25.8%.Conclusion:In the paper, we proposed a low-resource Donggan speech recognition method by transfer learning for the Donggan students learning in China. The established Donggan speech recognition system can timely feedback on students' needs and their questions about classroom contents to teachers through text, thus improving the communication between teachers and students in the class.
Does Code Review Promote Conformance? A Study of OpenStack Patches

Code Review plays a crucial role in software quality, by allowing reviewers to discuss and critique any new patches before they can be successfully integrated into the project code. Yet, it is unsure the extent to which coding pattern changes (i.e., repetitive code) from when a patch is first submitted and when the decision is made (i.e., during the review process). In this study, we revisit coding patterns in code reviews, aiming to analyze whether or not the coding pattern changes during the review process. Comparing prior submitted patches, we measure differences in coding pattern between pre-review~(i.e., patch before the review) and post-review~(i.e., patch after a review) from 27,736 reviewed OpenStack patches. Results show that patches after review, tend to conform to similar coding patterns of accepted patches, compared to when they were first submitted. We also find that accepted patches do have similar coding patterns to prior accepted patches. Our study reveals insights into the review process, supporting the potential for automated tool support for newcomers and lays the groundwork for work into understanding conformance and how it makes for an efficient code review process.
SKETCHING APP TO TEACH SPATIAL VISUALIZATION SKILLS SUITABLE FOR REMOTE AND IN-PERSON INSTRUCTION

L. Van Den Einde1, N. Delson1, L. Cowan2 1University of California, San Diego (UNITED STATES) 2eGrove Education, Inc. (UNITED STATES)
A NOVEL IMPLEMENTATION OF ATTRIBUTE BASED ENCRYPTION FOR QUERY OPTIMIZATION IN BIG DATA USING MAPREDUCE

Data increased daily and has a significant role in every field, like industries, medical, etc. The data is captured, stored, and it is processed to retrieve the necessary data. Security and privacy play an essential role when critical data is shared among users in a distributed environment. These challenges are to be addressed. Mainly they are highly required during sharing and storing vast amounts of data. This paper presents a novel solution to secure the vast data with Attribute-based encryption (ABE), providing access control that prevents unauthorized user's access. Moreover, query optimization is provided in this paper to retrieve the required encrypted data from the big data quickly.
POSTHUMANISM – AN EMERGING PARADIGM SHIFT IN HIGHER EDUCATION?

In addition to COVID-19, we are facing huge challenges such as climate change, loss of biodiversity, and scarcity of natural resources and food supply.The pandemic has accomplished a lot of discussion, research and practical solutions and actions in education.However, sustainability crisis and ecological challenges do not seem to have a similar impact on education development, although the consequences of these issues can be overwhelming in relation to the current pandemic.Sustainable development is mentioned in the objectives of educational policies in Europe generally, but it is not detectable in higher education and its everyday actions.The research shows that sustainable development is not visible in higher education or it is mentioned in general objectives but not in the practices or contents of the studies Posthumanism means seeing human beings as a part of nature and nature must be considered in all actions; human beings have no right to destroy nature or set themselves above it in ethical considerations.The posthumanistic approach can easily be justified from ethical, environmental, economic, health and well-being, and equality viewpoints, and thus it should not be neglected in educational discussion and education development.Curricula in higher education have a significant role both conceptually and politically to forward values, attitudes and ways of thinking.However, the approaches in education are traditionally very human-centric, ignoring posthumanistic viewpoints.The attitudes and ways of living, which are harmful for the climate and nature, are transferred from not only families to children but also from education.Schools and educational institutions educate children and young people according to working life needs and expectations, which are usually based on market economy requirements.This is why the educational system needs reforming and a paradigm shift.In this article, we discuss why posthumanistic viewpoint is needed in higher education and what does it mean it practice.The planet can survive without us, but we cannot survive without the planet.
ORGANIZATION OF THE SCIENTIFIC LIBRARY OF THE BURYAT SCIENTIFIC COMMITTEE (1920S)

In the 1920s, the activities of the Buryat Scientific Committee were multifunctional. In addition to scientific researches, the committee carried on educational, publishing and translation activities, including the dissemination of communist ideas. Scientific modernization of Buryatia was impossible without a full-fledged reference apparatus, namely, a library. Organization of cooperation with leading scientific and educational structures of Russia has become a priority in the work of the Committee. By 1928, contacts have been established with over 40 institutions. The largest libraries, research institutes, publishing houses of central scientific journals were among them, for example, with the library of the Asian Museum of the Academy of Sciences, the Leningrad Institute of Living Oriental Languages, the Scientific Association of Oriental Studies, the Central Bureau of Regional Studies, the Kazan University, the Institute for the Study of Languages and Ethnic Cultures of Eastern Peoples, etc. In addition, contacts were established with famous Russian orientalists: A. V. Burdukovsky, B. Ya. Vladimirtsov, V. A. Kazakevich, N. K. Klyukin, S. F. Oldenburg, N. N. Poppe. Book exchange, including international, was established. It was the first channel of acquisition of the Committee’s library, including the distribution of scientific literature. The transfer of bibliographic values from the leading cultural, scientific and educational institutions of the country was the second channel for replenishing the Committee’s library. The acquisition of rare scientific oriental publications in bookstores in Moscow and Leningrad was the third channel. Collecting the items of scientific, cultural and historical value in the regions of Buryatia was the fourth channel of the Committee’s collections. The donating was the fifth channel. For example, D. Ye. Khangalova donated personal materials of the famous Buryat ethnographer and folklorist M. N. Khangalov to the Committee. The receipt of an obligatory sample of new literature was the sixth channel for the accumulation of scientific publications. Аccordingly, the chairman of the Buryat Scientific Committee, an outstanding orientalist and public figure, Bazar Baradin and his associates made significant contribution to the organization of the library, to the accumulation of a complex of academic scientific literature, which contributed to more successful scientific modernization of the republic.
BLOGGING AS A FORM OF TEACHER MOTIVATING, SUPPORT AND COOPERATION WITH STUDENTS FROM ARMENIA AND GEORGIA (ON THE EXAMPLE OF RUDN UNIVERSITY)

Information about the paper titled "BLOGGING AS A FORM OF TEACHER MOTIVATING, SUPPORT AND COOPERATION WITH STUDENTS FROM ARMENIA AND GEORGIA (ON THE EXAMPLE OF RUDN UNIVERSITY)" at IATED Digital Library
Camera Model Identification using Convolutional Neural Network

Source camera identification is the procedure of finding out which camera model has been used to capture an image.In the past few years, there has been a high-speed growth of research interest in the field of forensics.In our present work, we have proposed a Deep Learning approach for identifying the camera model of ten cameras as a part of the Camera Model Identification Challenge organized by the Kaggle. com. Through this paper, we have presented a camera model identification method based on Convolutional Neural Network (CNN). In contrast to traditional methods, CNNs can spontaneously and concurrently extricate features and can be trained to classify during the learning process. Source camera identification is used in legal as well as security matters as a proof. As a correlation to previous task, researchers have suggested to utilize the artifacts that are present in the pipeline of camera to gather particular features manually and use them to differentiate between individual devices or camera models. Our task is implemented with 10 camera models from the dataset provided by the IEEE's Signal Processing Society with multi class CNN classifier.
Barriers to Introduction of Communication and Rehabilitation Robots:

The aim of this presentation is to discuss on barriers to introduce the communication and rehabilitation robots in the hospital and elderly institutions through the results of clinical evaluation of Pepper robot applications and future development issues. If anthropomorphic robots will be used for nursing care and rehabilitation for older people, it will critical to consider how to develop it by interdisciplinary research based on scientific evidences. It should be aimed to improve the performance of humanoid robots, in order to heal and care the older people, and prevent the progression of dementia. Also, if such robot support can be incorporated as a reward in the system of medical or long-term care fees, further research and development will be expected to proceed. Moreover, to introduce humanoid robots into the fields of nursing care healthcare and welfare, economic and ethico-legal research are essential.
Evaluating Post-Training Compression in GANs using Locality-Sensitive Hashing

The analysis of the compression effects in generative adversarial networks (GANs) after training, i.e. without any fine-tuning, remains an unstudied, albeit important, topic with the increasing trend of their computation and memory requirements. While existing works discuss the difficulty of compressing GANs during training, requiring novel methods designed with the instability of GANs training in mind, we show that existing compression methods (namely clipping and quantization) may be directly applied to compress GANs post-training, without any additional changes. High compression levels may distort the generated set, likely leading to an increase of outliers that may negatively affect the overall assessment of existing k-nearest neighbor (KNN) based metrics. We propose two new precision and recall metrics based on locality-sensitive hashing (LSH), which, on top of increasing the outlier robustness, decrease the complexity of assessing an evaluation sample against $n$ reference samples from $O(n)$ to $O(\log(n))$, if using LSH and KNN, and to $O(1)$, if only applying LSH. We show that low-bit compression of several pre-trained GANs on multiple datasets induces a trade-off between precision and recall, retaining sample quality while sacrificing sample diversity.
ANALISIS DAN IMPLEMENTASI METODE RAD PADA SISTEM SURAT MASUK DAN SURAT KELUAR BERBASIS WEBSITE STUDI KASUS: INSTITUT SHANTI BHUANA

The number of incoming and outgoing letters that have been received and made in the PROA section of Shanti Bhuana Institute, so that the search for data becomes inaccurate in terms of time and energy with manual systems. This research was conducted with the aim of assisting shanti bhuana institute employees in managing incoming and outgoing letters effectively. This entry and outgoing mail system has the ability to run on computers and mobile phones so that shanti bhuana institute employees can use this system wherever they are. Employees can add, edit, cancel, delete and save incoming and outgoing mail and can print report results based on incoming and outgoing mail. The method used in this study is Rapid Application Development (RAD) whereas for the creation of incoming and outgoing mail systems using php, html and css programming languages. App testing using blackbox testing with results that match expectations from users and researchers. Keywords: incoming mail, outgoing mail, Rapid Application Development.