Reviewerly/exHarmony huggingface dataset:
APPLICATION OF HYBRID GA-PSO TO IMPROVE THE PERFORMANCE OF DECISION TREE C5.0

Data mining is a data extraction process with large dimensions and information with the aim of obtaining information as knowledge to make decisions. Problems in the data mining process often occur in high-dimensional data processing. The solution to handling problems in high-dimensional data is to apply the hybrid genetic algorithm and particle swarm optimization (HGAPSO) method to improve the performance of the C5.0 decision tree classification model to make decisions quickly, precisely and accurately on classification data. In this study, there were 3 datasets sourced from the University of California, Irvine (UCI) machine learning repositories, namely lymphography, vehicle, and wine. The HGAPSO algorithm combined with the C5.0 decision tree testing method has the optimal accuracy for processing highdimensional data. The lymphography and vehicle data obtained an accuracy of 83.78% and 71.54%. The wine dataset has an accuracy of 0.56% lower than the conventional method because the data dimensions are smaller than the lymphography and vehicle dataset.
Innovation platforms at school: organization of activities

The basic concepts of innovation activity are considered from the standpoint of the development of modern Russian education. It is shown that innovation activity is a mandatory direction of effective implementation of the main functions of a general education institution. The activity of the school-laboratory of innovative development in its diversity is analyzed and summarized. The specific experience of functioning of federal and regional innovation platforms operating on the basis of an educational organization is presented. We disclose the goals and main tasks of each platform, the topics of innovation projects and programs implemented on their basis. The main problems are identified, which are solved in the process of activity of innovation platforms. As an example, we analyze the specific activity of an educational institution in the field of innovation mechanisms for achieving subject, meta-subject, personal educational results of students in the context of the introduction of the Federal State Educational Standard of General Education, the development of the housing and educational movement in the system of continuing education of the Tambov Region and the development of intra-institutional education quality assessment sys-tems.
한·중 웹드라마 비교고찰

This thesis will compare the background of the Korean and Chinese web dramas; the main body of the creation; the audience; the content composition; the production of the drama; the way of income; the promotion; the feedback of the audience and the nine aspects of the regulatory standards. Deriving the advantages and disadvantages of the development of Chinese web drama. How to solve these problems is also one of the important purposes of this thesis. In response to the problems found, this thesis proposes that the future Chinese web drama needs accurate audience positioning; production of high-quality, innovative drama; development of age-level system; improvement of supervision mechanism and construction of a complete industrial chain solution.As a part of Chinese cultural industry, web drama has its unique industrial characteristics, expression and industrial value. Chinese web dramas can only make full use of the advantages of the Internet, improve the overall level of the industry, build a complete industrial mechanism, and constantly explore new production, consumption and operating models, so that the entire industry can achieve long-term development.
Si amanece, nos vamos for solo guitar: Using multiphonics in a new way

The technique of guitar multiphonics is an unconventional performing technique that gives rise to sounds of unusual colours, in which it is easier to perceive multiple pitches. In most compositions that employ the technique, this is done conventionally – there is hardly any variation in the beginning and/or end of the sounds. The piece presented in this article uses multiphonics in a new way. This was arrived at by the author unintentionally when conducting artistic research during the compositional process of the third piece in which she used guitar multiphonics. With the new form of usage of this technique there is variation in both the beginning and end of the sounds, as these gradually arise from, and vanish into the continuous sound of an open string. In the piece, this is used as a pedal tone that sounds insistently most of the time.
Dialogue interaction of university students in the classroom on computer technology

We substantiate the need for interactive teaching of creative specialties students, based on interactive forms of organization of cognitive activity in laboratory classes on computer tech-nologies. The specificity of the discipline is noted, which generates a number of psychological and pedagogical problems related to hygiene standards and restrictions on the sphere of students’ creative activity. We raise the problem of implementing the idea of a dialog approach directly in the course of performing laboratory and practical tasks on a computer. We solve the problem of organizing cognitive activity in laboratory classes on computer technologies, which allows you to combine the capabilities of the computer as a didactic tool and design tool with a “live” dialogue between students and the teacher, as well as within the student group at each stage of laboratory work. We present a step-by-step implementation of students’ dialog interaction in the process of designing video clips as an internal module for studying the discipline “Computer technologies in design”, based on the basic principles of integrated technology of developing learning. The univer-sality of the proposed approach makes it possible to use it in laboratory work in the system of training university students in various fields.
SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting

Automated crowd counting from images/videos has attracted more attention in recent years because of its wide application in smart cities. But modelling the dense crowd heads is challenging and most of the existing works become less reliable. To obtain the appropriate crowd representation, in this work we proposed SOFA-Net(Second-Order and First-order Attention Network): second-order statistics were extracted to retain selectivity of the channel-wise spatial information for dense heads while first-order statistics, which can enhance the feature discrimination for the heads' areas, were used as complementary information. Via a multi-stream architecture, the proposed second/first-order statistics were learned and transformed into attention for robust representation refinement. We evaluated our method on four public datasets and the performance reached state-of-the-art on most of them. Extensive experiments were also conducted to study the components in the proposed SOFA-Net, and the results suggested the high-capability of second/first-order statistics on modelling crowd in challenging scenarios. To the best of our knowledge, we are the first work to explore the second/first-order statistics for crowd counting.
A Study on the Using Motivation of Zu’an Culture in Chinese Middle School

a report in Bimonthly Talk magazine entitled "It's Time to Stop the Invasion of Zu'an Cultural Circle into Campus".It has aroused widespread concern and heated discussion in the society.This article through the qualitative research case study method from sociology, psychology and other perspectives.Semi-structured interviews were conducted among 25 middle school students.Encoding the interview case text by Nvivo11, Fifteen categories, five main categories and one core category are extracted.The study found that the use of Zu'an culture by middle school students is essentially a process of social adaptation.Middle school students form identity symbols, meet the Attribution Requirement and esteem needs,do representation of power,maintain a state of pleasure through the use of Zu'an culture.However, in the face of the contradiction between the adaptation instinct and the construction of a civilized and harmonious society, We should make full use of technical means.To create a kind of cultural soft environment for good.By changing the object of adaptation, imperceptibly make this social adaptation instinct spontaneous change to a better and more beautiful direction.
Eye-Tracking Algorithm for Low Webcam Image Resolution Without Calibration

Applications of eye-tracking devices aim to understand human activities and behaviors, improve human interactions with robots, and develop assistive technology in helping people with some communication disabilities. This paper proposes an algorithm to detect the pupil center and user’s gaze direction in real-time, using a low-resolution webcam and a conventional computer with no need for calibration. Given the constraints, the gaze space was reduced to five states: left, right, center, up, and eyes closed. A pre-existing landmarks detector was used to identify the user’s eyes. We employ image processing techniques to find the center of the pupil and we use the coordinates of the points found associated with mathematical calculations to classify the gaze direction. By using this method, the algorithm achieved 81.9% overall accuracy results even under variable and non-uniform environmental conditions. We also performed quantitative experiments with noise, blur, illumination, and rotation variation. Smart Eye Communicator, the proposed algorithm, can be used as eye-tracking mechanism to help people with communication difficulties to express their desires.
Parametrized Quantum Circuits of Synonymous Sentences in Quantum Natural Language Processing

Abstract In this paper we develop a compositional vector-based semantics of positive transitive sentences in quantum natural language processing for a non-English language, i.e. Persian, to compare the parametrised quantum circuits of two synonymous sentences in two languages, English and Persian. By considering grammar+meaning of a transitive sentence, we translateDisCoCat diagram via ZX-calculus into quantum circuit form. Also, we use a bigraph method to rewrite DisCoCat diagram and turn into quantum circuit in the semantic side.
SNR-adaptive deep joint source-channel coding for wireless image transmission

Considering the problem of joint source-channel coding (JSCC) for multi-user transmission of images over noisy channels, an autoencoder-based novel deep joint source-channel coding scheme is proposed in this paper. In the proposed JSCC scheme, the decoder can estimate the signal-to-noise ratio (SNR) and use it to adaptively decode the transmitted image. Experiments demonstrate that the proposed scheme achieves impressive results in adaptability for different SNRs and is robust to the decoder's estimation error of the SNR. To the best of our knowledge, this is the first deep JSCC scheme that focuses on the adaptability for different SNRs and can be applied to multi-user scenarios.
PENGARUH MODEL PEMBELAJARAN DAN GENDER TERHADAP PERKEMBANGAN KEPRIBADIAN SISWA

Tujuan dari penelitian ini adalah untuk meningkatkan kepribadian siswa laki-laki maupun perempuan melalui penerapan model pembelajaran teaching personal social responsibility dan personalized system for instruction. Metode yang digunakan dalam penelitian ini adalah eksperimen dengan desain factorial 2x2. Populasi dalam penelitian ini adalah SMAN 2 Cianjur yang berjumlah 850 siswa. Pengambilan sampel menggunakan cluster random sampling. Sampel yang digunakan 60 siswa. Instrumen yang digunakan dalam penelitian ini adalah skala angket 16 faktor kepribadian (the 16 Personality Factor Questionnaire) yang di adopsi teori Raymond B. Cettel (1998). Hasil dari analisis data Two Way ANOVA menunjukan bahwa: (1) Terdapat perbedaan kepribadian antara siswa yang belajar menggunakan model pembelajaran TPSR dan model pembelajaran PSI, (2) Terdapat perbedaan kepribadian antara siswa yang belajar menggunakan model pembelajaran TPSR dan model pembelajaran PSI pada siswa laki-laki (3) Terdapat perbedaan pengaruh kepribadian antara siswa yang belajar menggunakan model pembelajaran TPSR dan model pembelajaran PSI pada siswa perempuan, (4) Terdapat interaksi antara model pembelajaran dan gender terhadap perkembangan kepribadian siswa. Kesimpulan dalam penelitian ini model pembelajaran TPSR terbukti memberikan pengaruh yang positif terhadap perkembangan kepribadian siswa laki-laki maupun perempuan. Peneliti merekomendasikan kepada guru penjas untuk menerapkan model pembelajaran TPSR dalam meningkatkan kepribadian siswa.;---The purpose of this study is to improve the personality of male and female students through the application of learning models teaching personal social responsibility and personalized system for instruction. The method used in this study was a factorial 2x2 design experiment. The population in this study was SMAN 2 Cianjur which amounting to 850 students. Sampling uses cluster random sampling. The sample used was 60 students. The instrument used in this study was a questionnaire of 16 personality factors (the 16 Personality Factor Questionnaire) adopted by the theory of Raymond B. Cettel (1998). The results of Two Way ANOVA data analysis show that: (1) There are differences in personality between students who learn to use the TPSR learning model and PSI learning model, (2) There are personality differences between students who learn to use TPSR learning models and PSI learning models in male students (3) There are differences in the influence of personality between students who learn to use the TPSR learning model and the PSI learning model for female students, (4) There is an interaction between learning models and gender on student personality development. The conclusion in this study is that the TPSR learning model is proven to have a positive influence on the personality development of male and female students. The researcher recommends the physical education teacher to apply the TPSR learning model to improve student personality.
Guides: Using SciFinder-n: Home

The OSU Library began subscribing to the new SciFinder-n platform in the fall of 2020. Users of the old SciFinder will find that there are some differences. Thank you to Sue Cardinal at University of Rochester for making this content available.
LSTM-SAKT: LSTM-Encoded SAKT-like Transformer for Knowledge Tracing

This paper introduces the 2nd place solution for the Riiid! Answer Correctness Prediction in Kaggle, the world's largest data science competition website. This competition was held from October 16, 2020, to January 7, 2021, with 3395 teams and 4387 competitors. The main insights and contributions of this paper are as follows. (i) We pointed out existing Transformer-based models are suffering from a problem that the information which their query/key/value can contain is limited. To solve this problem, we proposed a method that uses LSTM to obtain query/key/value and verified its effectiveness. (ii) We pointed out 'inter-container' leakage problem, which happens in datasets where questions are sometimes served together. To solve this problem, we showed special indexing/masking techniques that are useful when using RNN-variants and Transformer. (iii) We found additional hand-crafted features are effective to overcome the limits of Transformer, which can never consider the samples older than the sequence length.
Refactoring OOPerl and Translating it to Python

Skanda, V. C.Jayaram, RachanaKumar, N. S.The Perl Developer community is shrinking rapidly. Perl ruled the scripting world in late 90s and early 2000s. Perl 5 introduced Object orientation in a very unusual way in 1994. Companies have developed a vast amount of OOPerl code over the period of its popularity. As the scripting world has moved from Perl to Python, it has become difficult to find personnel to maintain legacy OOPerl code. This paper explores the program translation from Perl to Python for easier maintenance using compiler design techniques. Given a syntactically correct code written in Object Oriented Perl, the techniques developed here can be used to generate an equivalent code in Python. The Python code generated is logically identical to the input Perl code and given any input, produces an identical output.
AirWare: Utilizing Embedded Audio and Infrared Signals for In-Air Hand-Gesture Recognition

We introduce AirWare, an in-air hand-gesture recognition system that uses the already embedded speaker and microphone in most electronic devices, together with embedded infrared proximity sensors. Gestures identified by AirWare are performed in the air above a touchscreen or a mobile phone. AirWare utilizes convolutional neural networks to classify a large vocabulary of hand gestures using multi-modal audio Doppler signatures and infrared (IR) sensor information. As opposed to other systems which use high frequency Doppler radars or depth cameras to uniquely identify in-air gestures, AirWare does not require any external sensors. In our analysis, we use openly available APIs to interface with the Samsung Galaxy S5 audio and proximity sensors for data collection. We find that AirWare is not reliable enough for a deployable interaction system when trying to classify a gesture set of 21 gestures, with an average true positive rate of only 50.5% per gesture. To improve performance, we train AirWare to identify subsets of the 21 gestures vocabulary based on possible usage scenarios. We find that AirWare can identify three gesture sets with average true positive rate greater than 80% using 4--7 gestures per set, which comprises a vocabulary of 16 unique in-air gestures.
Research on Safety Evaluation of Grounding Grids Based on Binary Interval Numbers

With the overall advancement of UHV AC and DC lines and the gradual development of large cross-regional power grids, the effective grounding of power equipment plays an important role in the safe and stable operation of the power system. Regarding the numerical uncertainty caused by the measurement of grounding grid parameters, this paper proposes a multi-dimensional safety evaluation method for grounding grids based on the gray correlation degree of interval numbers. First, construct an evaluation index system and use the coefficient of variation to determine the index weight, avoiding the subjectivity brought about by expert empowerment. Second, determine the evaluation level and construct an interval number evaluation matrix. Then, the kernel density estimation is used to fit the interval number evaluation value into a probability density distribution. Finally, the final evaluation results are gotten by evaluating the weighted JS divergence between the probability density distribution and the optimal distribution. Through an empirical analysis of a 220kV substation in Zhejiang, the effectiveness of the method is verified.
Predicted Student Study Period with C4.5 Data Mining Algorithm

Data of alumni from 2012 to 2015 found that the average percentage of students graduating on time was 22%. The comparison between the number of students who graduate on time and new students who enter each year is not comparable, therefore a study is needed to find out the factors that affect student graduation and to prediction of the graduation period of the student through data mining research using the C4.5 algorithm. The data tested was student alumni data from 2012 to 2015. The instruments studied include study period, academic year, GPA, corner focus, gender, intensity of work during college, type of thesis, intensity of campus internal organization, intensity of external organization of campus, UKT group, scholarship status, pre-college education, hobby intensity, intensity of game play, academic competition participation status, non-academic competition participation status, and availability of facilities and infrastructure. The best test results using percentage-split 75% obtained 83.33% accuracy as well as the rules contained in the decision tree.
Dampak pelatihan penyusunan laporan perkembangan anak berbantuan aplikasi e-report bagi guru PAUD

Technological developments and the development of the 2013 curriculum require teachers to be able to take advantage of computer technology, in fact PAUD teachers still use manual methods to compile child development reports. Some teachers use computer applications, namely using Ms. Word, however, has many hindering and time consuming aspects. Therefore, PAUD teachers need convenience and practicality so that their performance increases. Based on these needs, the application of Ms. excel in the form of e-report that has been developed by the team needs to be introduced so that there are more users among PAUD teachers. Through this service activity it is expected that there will be an increase in the knowledge and skills of early childhood teachers in compiling reports on children's development using the Ms. application. Excel in the preparation of e-reports as part of curriculum changes, especially at Aisyiyah PAUD institutions. The method of implementing activities includes lectures, group discussions, and limited offline and online practice which are alternatives in carrying out training activities because they adjust to the conditions of the Covid-19 Pandemic. The results of this service program were 91.3% of teachers rated the e-report application as very useful and 82.6% of teachers rated the application as easy to use, then the impact of this activity was a change in teacher knowledge, understanding, and skills towards the existence of the e-report application which can facilitate their performance in compiling child development reports.
Design of dual-active and multi-active framework of information system in cloud environment

In response to the requirements of the active-active construction of cloud environment information systems, the active-active and multi-active architecture models of the information system in the cloud environment are proposed. Combined with the cloud platform framework of the State Grid Corporation, the active-active architecture suitable for electric power enterprises is designed and the key to the active-active information system is explained. The technology and the technical path of realization are given, based on the verification process of the active-active architecture in the cloud environment, and the feasibility and reliability of the active-active technical architecture of the information system in the cloud environment are verified through experiments.
APLIKASI BERBASIS MODUL OFFLINE TENTANG PENYULUHAN HUKUM KENDARAAN DAN JALAN

In order to improve public awareness in complying with regulations, required educational socialization related rules of the road and the vehicle or traffic signs or applicable vehicle standards, and the use of the internet become an information source can be avoided by use of the internet society, open source literature related laws of the road and the vehicle extensively but because the culture of reading yet sink in evenly spread the information then it is difficult. The results of the applications supported by the sophistication of the current Android, this application is expected to be able to operate in this version of Android from the earliest to the most update Android version and necessary for all the public can access it all communities, the information used by the application are derived from laws, regulations, and the Minister's decision with the source provided is clear, with the efforts of focused opinion factually that can be proved by the Government through regulations and was proven directly by looking at the original source.