Reviewerly/exHarmony huggingface dataset:
Sentient: A social media environment as a conscious living system

During the COVID-19 pandemic, the internet has become a global survival strategy.As a result, the need for an online platform, where participants can connect with each other on a deeper level than is possible on existing social media, has acquired a fresh urgency.We have decided to call this platform Sentient.The interface design draws on Rupert Sheldrake's system of biological and social morphogenic fields, as well as Arthur Koestler's theory of holarchy, among others.It will have the structure of a living body, possessing the seven processes vital to life, and holarchical systems ranging in scale from the subcellular to the whole organism.Users can create memes which evolve through conscious verbal and non-verbal interactions with other participants' memes.Sentient's live events are perceived as the ritualistic heart-beat that regularly generates the subtle body of the environment.Drawing on Roy Ascott's theory of technoetics, as well as cyberperformance aesthetics, the live events, including all modes of activity and interchange, are being designed to have a transformative as well as therapeutic function through participation.Sentient is developed on the premise that telematic technology can be converted into a conscious living system, leading to a holistic worldview of human and planetary life.
항공서비스전공 여대생의 진로장벽이 진로결정수준에 미치는 영향 : 4년제 대학교와 전문대학 비교

This study aimed to examine effects of career barriers of female college students who major in airline service on their career decision level and differences in sub-factors of career barriers affecting career decision level between female college students in four-year and two-year colleges. The subjects included 400 female college students majoring in airline service, by selecting randomly selecting 4 four-year and 4 two-year colleges, in which the department of it is established, and SPSS WIN 21.0 was used for the statistical analysis. The results of the analysis show: first, sub-factors of the career barriers, such as lack of interest, interrelationship, anxiety for the future and collection of information have significantly negative effects on the career decision level; second, although there are no significant differences in the career barriers and career decision level, according to types of educational institutes for airline service major, sub-factors of the career barriers, which have significantly negative effects on the career decision level include lack of interest, interrelationship, problems related with age, physical inferiority, lack of definiteness, for four-year female college students and collection of information, anxiety for the future, interrelationship, lack of interest, for two-year female college students. The finding suggest that curriculum and career coaching, for changing college female students' recognition on the career barriers, who major in airline service and therefore, desirable career decision based on them are required.
A Break from the Zoom - Using a Students Home Environment to Teach Forensic Science Interpretation during the Covid-19 pandemic: None

The rapid move to online learning during the Covid-19 pandemic has created the need for academics to rapidly develop new and innovative ways to deliver practical content. The vast majority of laboratory sessions were moved to online simulations, but these are not necessarily suitable for the teaching of the interpretation of forensic evidence and can increase a students exposure to digital devices enhancing “Zoom Fatigue”. An alternative suggestion to using online simulated laboratory practical’s is to utilise the students home environment in creating datasets which then lend themselves to understanding the intricacies of forensic interpretation of evidence types. These practials involve little or no resources on the part of the student and allow them to explore, investigate and observe. Student feedback showed these type of remote laboratory session to be a welcome break from the digital device and allow for greater and more prolonged understanding of how to interpret forensic evidence.
On the (asymptotic) convergence of Stochastic Gradient Descent and Stochastic Heavy Ball

We study stochastic gradient descent (SGD) and the stochastic heavy ball method (SHB, otherwise known as the momentum method) for the general stochastic approximation problem. For SGD, in the convex and smooth setting, we provide the first \emph{almost sure} asymptotic convergence \emph{rates} for a weighted average of the iterates . More precisely, we show that the convergence rate of the function values is arbitrarily close to $o(1/\sqrt{k})$, and is exactly $o(1/k)$ in the so-called overparametrized case. We show that these results still hold when using a decreasing step size version of stochastic line search and stochastic Polyak stepsizes, thereby giving the first proof of convergence of these methods in the non-overparametrized regime. Using a substantially different analysis, we show that these rates hold for SHB as well, but at the last iterate. This distinction is important because it is the last iterate of SGD and SHB which is used in practice. We also show that the last iterate of SHB converges to a minimizer \emph{almost surely}. Additionally, we prove that the function values of the deterministic HB converge at a $o(1/k)$ rate, which is faster than the previously known $O(1/k)$. Finally, in the nonconvex setting, we prove similar rates on the lowest gradient norm along the trajectory of SGD.
PERANCANGAN APLIKASI ANDROID ABSENSI SISWA PADA SEKOLAH SMK NEGERI 5 PADANG

The purpose of this study was to design an application for attendance at the SMK Negeri 5 Padang school which was used as student absenteeism when the teaching and learning activities took place and to see reports of student attendance. The attendance process is carried out by utilizing a smartphone through a client-server based Android application, so that the attendance process no longer takes the timesheet on the picket table and records it on paper. The attendance application design was built using object-oriented programming methods using UML (Unified Modeling Language) modeling, among others: Context Diagrams, Use Case Diagrams, Activity Diagrams and Class Diagrams. On the server side the system is built using PHP (Hypertext Preprocessor) with CSS (Cascading Style Sheets) as an additional language and as an editor using SublimeText, while applications on the client side use the Java Development Kit (JDK) language and use MySQL as a database. The student absentee application at the SMK 5 Padang is produced namely, the application on the server side with a web display that is used for client management, while on the client side will produce an application used to retrieve student attendance data and view student attendance data reports Keywords: Sudent attendence, Android, Client-Server, PHP(Hypertext Preprocessor).
An empirical evaluation of the usefulness of Tree Kernels for Commit-time Defect Detection in large software systems

Defect detection at commit check-in time prevents the introduction of defects into software systems. Current defect detection approaches rely on metric-based models which are not very accurate and whose results are not directly useful for developers. We propose a method to detect bug-inducing commits by comparing the incoming changes with all past commits in the project, considering both those that introduced defects and those that did not. Our method considers individual changes in the commit separately, at the method-level granularity. Doing so helps developers as they are informed of specific methods that need further attention instead of being told that the entire commit is problematic. Our approach represents source code as abstract syntax trees and uses tree kernels to estimate the similarity of the code with previous commits. We experiment with subtree kernels (STK), subset tree kernels (SSTK), or partial tree kernels (PTK). An incoming change is then classified using a K-NN classifier on the past changes. We evaluate our approach on the BigCloneBench benchmark and on the Technical Debt dataset, using the NiCad clone detector as the baseline. Our experiments with the BigCloneBench benchmark show that the tree kernel approach can detect clones with a comparable MAP to that of NiCad. Also, on defect detection with the Technical Debt dataset, tree kernels are least as effective as NiCad with MRR, F-score, and Accuracy of 0.87, 0.80, and 0.82 respectively.
A review of systematic selection of clustering algorithms and their evaluation

Data analysis plays an indispensable role for value creation in industry. Cluster analysis in this context is able to explore given datasets with little or no prior knowledge and to identify unknown patterns. As (big) data complexity increases in the dimensions volume, variety, and velocity, this becomes even more important. Many tools for cluster analysis have been developed from early on and the variety of different clustering algorithms is huge. As the selection of the right clustering procedure is crucial to the results of the data analysis, users are in need for support on their journey of extracting knowledge from raw data. Thus, the objective of this paper lies in the identification of a systematic selection logic for clustering algorithms and corresponding validation concepts. The goal is to enable potential users to choose an algorithm that fits best to their needs and the properties of their underlying data clustering problem. Moreover, users are supported in selecting the right validation concepts to make sense of the clustering results. Based on a comprehensive literature review, this paper provides assessment criteria for clustering method evaluation and validation concept selection. The criteria are applied to several common algorithms and the selection process of an algorithm is supported by the introduction of pseudocode-based routines that consider the underlying data structure.
Finding The Most Desirable Car Using K-Nearest Neighbor From E-Commerce Websites

The increasing number of cars that have been released to the market makes it more difficult for buyer to choose the choice of car that fits with their desired criteria such as transmission, number of kilometers, fuel type, and the year the car was made. The method that is suitable in determining the criteria desired by the community is the K-Nearest Neighbors (KNN). This method is used to find the lowest distance from each data in a car with the criteria desired by the buyer. Euclidean, Manhattan, and Minkowski distance are used for measuring the distance. For supporting the selection of cars, we need an automatic data col-lection method by using web crawling in which the system can retrieve car data from several ecommerce websites. With the construction of the car search system, the system can help the buyer in choosing a car and Euclidean distance has the best accuracy of 94.40%.
PERANCANGAN SISTEM INFORMASI SASARAN KINERJA PEGAWAI DI UNIVERSITAS NEGERI PADANG

To produce employees who have the ASN profession, there is a need for ASN guidance. As a first step in conducting coaching, an assessment of the performance of the ASN is needed. This assessment will later be used as material for consideration for promotion, placement in position, transfer, education and training, and consideration in remuneration payments. The work performance assessment of Civil Servants is carried out systematically, with emphasis on the level of achievement of employee work targets or the level of achievement of work outcomes that have been prepared and agreed upon between Civil Servants and Appraisal Officials. The performance appraisal of civil servants themselves has two elements of assessment, namely the first from the Employee Work Target (SKP) and the second from Work Behavior. The problem that occurs is that the assessment of work performance is difficult because not all ASNs in the Universitas Negeri Padang environment keep a diary properly. In addition, the problems that often occur are diaries that are manually created require a lot of paper and ink, this is considered not economical and efficient and when archived there is a possibility of being scattered or lost. From the problems mentioned above, an employee performance target information system was developed at Universitas Negeri Padang. With this application, it can facilitate ASN in preparing and filing SKP, making daily notes, and simplifying employee performance appraisals.Keywords: Development, Information Systems, SKP, Universitas Negeri Padang.
Teaching Speaking Skill By Using Numbered Head Together

This research was conducted at SMPN 3 Gunung Meriah, Aceh Singkil. It was intended to find out whether the use of Numbered Head Together improved students’ speaking ability in learning speaking or not. The researcher used random sampling by drawing lottery number. The sample of this research was the students of grade VIII-1. The data was collected by researcher using pre-test, treatment and post-test. The materials used in the speaking tests were pictures. The speaking aspects were pronunciation, grammar, vocabulary, fluency and comprehension. In analyzing the data, the researcher used statistical formula. The mean score of pre-test was 45 and post-test was 70. The data showed that the improvement of the mean was 25. The critical value of 0.05 significant level and 19 degree of freedom was 2.093. The result of t-test (3.930) was higher than t-table (2.093). So, this mean that the implementation of teaching speaking skill by using Numbered Head Together give significant difference in students speaking scores between pre-test and post-test of students VIII-1 of SMPN 3 Gunung Meriah.
Peculiarities of students’ work with methodological texts in the conditions of distance learning

This article examines the peculiarities of work with methodological texts in the conditions of distance learning among university students. The relevance of this research is substantiated by the fact that work with methodological texts give students certain vectors for personal development, contributes to the formation of methodological culture of future specialist within the boundaries of a particular scientific discipline. The goal is to demonstrate the results of experimental research of the process of teaching the conceptual understanding of information contained in methodological texts to university students. The object of this work is understanding as the process and the result of students' activity. The subject is the peculiarities of students' work with methodological texts. The main conclusions lie in the fact that 65% of &amp;nbsp;students faced various types of difficulties in working with methodological texts out of the total sample of 260 respondents. The conducted special training revealed positive changes: the number of students who did not experience difficulties in understanding of text, based on the ability to apply techniques of working with texts, has increased. The dynamics in indicators (derivation of keywords or indicators of the criteria of methodological text; formulation of the basic question of methodological text, etc.) allows considering the developed by authors methods of working with methodological texts effective.
Improving Dialog Systems for Negotiation with Personality Modeling

In this paper, we explore the ability to model and infer personality types of opponents, predict their responses, and use this information to adapt a dialog agent's high-level strategy in negotiation tasks. Inspired by the idea of incorporating a theory of mind (ToM) into machines, we introduce a probabilistic formulation to encapsulate the opponent's personality type during both learning and inference. We test our approach on the CraigslistBargain dataset and show that our method using ToM inference achieves a 20% higher dialog agreement rate compared to baselines on a mixed population of opponents. We also find that our model displays diverse negotiation behavior with different types of opponents.
THE MODEL OF JUNIOR STUDENTS’ INTELLECTUAL AND CREATIVE POTENTIAL DEVELOPMENT IN EXTRACURRICULAR ACTIVITIES

This paper describes theoretical model of intellectual and creative potential development of junior students using extracurricular activities. The model contains four components. The first component comprises the main aim and tasks, values, pedagogical principles and approaches. The conceptual component presents the topical subject matter. The organizational component demonstrates the stages of intellectual and creative potential development, the conditions of successful functioning of the model, methods and forms of work. Finally, the reflexive and evaluative component shows the criteria, indices and possible levels of the intellectual and creative development.
Implementasi Algoritma Weighted Product (WP) Dengan Model Fuzzy Multi Attribute Decission Making (FMADM) Dalam Penilaian Kinerja Karyawan

Employee performance appraisal is a work evaluation activity that is used to determine the quality which will be used for the achievement of each individual employee. The purpose of this research is to appraise employee performance, especially for the security guard. In this study the authors used the Decision Support System technique using the Fuzzy Multi Attribute Decision Making algorithm, namely Weighted Product. The source of the research data used was to provide an assessment form to Krani Papam. In the employee performance appraisal, researchers used 5 assessment criteria, including: Attendance (C1), Responsibility (C2), Commitment (C3), Cooperation (C4), and Motivation (C5). In this study, the alternative used as a sample is employees in the security section (security guard). From the results of manual calculations and system testing, the highest value is 0.0286. It is expected that the results of this study can provide input to the office, especially the security section (security guard) in selecting employee performance so that the assessment is carried out objectively.
THE PROFILE OF SCHOOL LITERACY MOVEMENT AS AN EFFORT TO INCREASE READING MOTIVATION FOR PRIMARY SCHOOL STUDENTS IN KABUPATEN BONE

T his study aimed to describe the implementation of school literacy movement program (SLM) to increase students’ reading motivation at elementary school in cluster 1 of Kecamatan Tanete Riattang Barat, Kabupaten Bone. This study also aimed to reveal supporting and inhibiting factors in implementing SLM as well as the strategies developed by schools to overcome the inhibiting factors. This qualitative descriptive study utilized observations, interviews, and documentation to collect the data. The instruments of this study were observation sheets and interview guidelines. The subjects of this study were 15 respondents consisting of the principal, teachers, and students of grade VI and III. The results showed that the school implemented SLM program through habituation, development, and classroom learning activities. This program included the provision of facilities and infrastructure (such as libraries, reading corners, reading gardens, wall magazines, posters and slogans). In addition, SLM program was implemented because of the support from the school committee, school extra-curricular activities, and the provision of school funding allocations. Meanwhile, the inhibiting factors were the students' lack of understanding about the implementation of SLM, the inbalanced capacity of library capacity to the number of students, the insufficient book collection, and the minimum time available for reading activities. Thus, strategies to overcome these factors were providing students with an understanding of the application of SLM, expanding the reading garden, updating the book collection in the library, and making the maximum use of time during must-read hours.
플립러닝을 활용한 산업간호 수업의 설계

Purpose: The purpose of this study is to develop instructional design for occupational health nursing education using flipped learning. Methods: The instructional design for occupational health nursing developed in this study combined the ADDIE (Analysis, Design, Development, Implementation, Evaluation) and PARTNER (Preparation, Assessment, Relevance, Team activity, Nub lecture, Evaluation, Reflection) models. Results: In the analysis step, course analysis, learner analysis, and environmental analysis are performed. In the design step, chapter lesson-plans, chapter lesson-material development plans, and session-specific lesson plans are included. In the development step, pre-learning materials, lesson materials, and evaluation materials are developed for each session. In implementation, teaching and learning activities are performed for each session of pre-class (preparation, assessment), in-class (relevance, team activity, nub lecture, evaluation), and post-class (reflection). Finally, in the evaluation step, learner evaluation and instructor self-evaluation are conducted. Conclusion: This study provides guidelines and reference materials for occupational health nursing education using flipped learning, as well as for the long-term, future development of nursing education. Therefore, the application and effect of flipped learning in occupational health nursing education should be studied.
The Correlation Between Self Assessment and Speaking Ability of the Eighth Grade Students at Junior High School 16 Pekanbaru

This research is a correlational research, which aims at finding out the correlation between self assessment and speaking ability. There were two variables used in this research, was variable X (Self Assessment) and variable Y (Speaking Ability). The subject of this research was the eighth grade students at Junior High School 16 Pekanbaru whereas the object of this research was the correlation between self assessment and speaking ability. The population of this research was 197 students. To choose the sample, the researcher used simple random sampling technique and got 40 students as the sample. In collecting the data, the researcher used questionnaire for self assessment and oral test for speaking ability. From the data analysis which had been done by using SPSS 20.0 version, it could be seen that there was a significant correlation between self assessment and speaking ability. It could be shown that the probability of score sig.t is 0.000, smaller than the significant alpha of 0.05 (sig.t &lt; 0.05). It means that H0 is rejected and Ha is accepted. In other words, there is a significant correlation between self assessment and speaking ability.
Attention-guided Progressive Mapping for Profile Face Recognition

The past few years have witnessed great progress in the domain of face recognition thanks to advances in deep learning. However, cross pose face recognition remains a significant challenge. It is difficult for many deep learning algorithms to narrow the performance gap caused by pose variations; the main reasons for this relate to the intra-class discrepancy between face images in different poses and the pose imbalances of training datasets. Learning pose-robust features by traversing to the feature space of frontal faces provides an effective and cheap way to alleviate this problem. In this paper, we present a method for progressively transforming profile face representations to the canonical pose with an attentive pair-wise loss. Firstly, to reduce the difficulty of directly transforming the profile face features into a frontal pose, we propose to learn the feature residual between the source pose and its nearby pose in a block-byblock fashion, and thus traversing to the feature space of a smaller pose by adding the learned residual. Secondly, we propose an attentive pair-wise loss to guide the feature transformation progressing in the most effective direction. Finally, our proposed progressive module and attentive pair-wise loss are light-weight and easy to implement, adding only about 7:5% extra parameters. Evaluations on the CFP and CPLFW datasets demonstrate the superiority of our proposed method. Code is available at https://github.com/hjy1312/AGPM.