Reviewerly/exHarmony huggingface dataset:
Continuously Generalized Ordinal Regression for Linear and Deep Models

Ordinal regression is a classification task where classes have an order and prediction error increases the further the predicted class is from the true class.The standard approach for modeling ordinal data involves fitting parallel separating hyperplanes that optimize a certain loss function.This assumption offers sample efficient learning via inductive bias, but is often too restrictive in real-world datasets where features may have varying effects across different categories.Allowing class-specific hyperplane slopes creates generalized logistic ordinal regression, increasing the flexibility of the model at a cost to sample efficiency.We explore an extension of the generalized model to the all-thresholds logistic loss and propose a regularization approach that interpolates between these two extremes.Our method, which we term continuously generalized ordinal logistic, significantly outperforms the standard ordinal logistic model over a thorough set of ordinal regression benchmark datasets.We further extend this method to deep learning and show that it achieves competitive or lower prediction error compared to previous models over a range of datasets and modalities.Furthermore, two primary alternative models for deep learning ordinal regression are shown to be special cases of our framework.
TBEM: Testing-Based GPU-Memory Consumption Estimation for Deep Learning

Deep Learning (DL) has been successfully implemented and deployed to various software service applications. During the training process of DL, a large amount of GPU computing resources is required, but it is difficult for developers to accurately calculate the GPU resources that the model may consume before running, which brings great inconvenience to the development of DL systems. Especially in today’s cloud-based model training. Therefore, it is very important to estimate the GPU memory resources that the DL model may use in a certain computing framework. Existing work has focused on static analysis methods to assess GPU memory consumption, highly coupled with the framework, and lack of research on low-coupled GPU memory consumption of the framework. In this article, we propose TBEM, which is a test-based method for estimating the memory usage of the DL model. First, TBEM generates enough DL models using an orthogonal array testing strategy and a classical neural network design pattern. Then, TBEM generates DL model tested in a real environment to obtain the real-time GPU memory usage values corresponding to the model. After obtaining the data of different models and corresponding GPU usage values, the data is analyzed by regression.
URL Redirection Attack Mitigation in Social Communication Platform using Data Imbalance Aware Machine Learning Algorithm

Objectives: To present a model which can detect malicious attacks using the URL of the Social Communication Platform using the data imbalance machine learning algorithm.The main objective is to detect the attack and prevent it from happening.Methods: This study presents an efficient feature extraction and selection method addressing feature imbalance problems; and also presents an improved concept drift and machine learning-based classification.This paper extracts the URL of the undesired tweets, identifies them, and filters them for classification.Findings: The experiments have been conducted using the drifted twitter spam dataset.Our model DIA-XGBoost extracts the URL of the undesired tweets, identifies them, and filters them for classification.Further, the attack pattern varies with respect to time.Furthermore, the results show that our DIA-XGBoost attains higher accuracy performance by 1.254%, URL recall performance by 0.14%, and increased Fmeasure performance by 10% when compared with the existing ML techniques (Random Forest, K-Nearest Neighbour, XGBoost).Thus, the existing ML-based classification model achieves poor classification accuracy whereas our model solves this issue.Novelty: Various Machine Learning (ML) techniques have been applied for the classification of URL redirection attacks.However, the spam data generally exhibit feature imbalance.Further, the attack pattern varies with respect to time.Thus, the existing ML-based classification model achieves poor classification accuracy.Hence, our model solves the issue using the DIA-XGBoost algorithm, detects and prevents URL malicious attacks.
knowledge sharing and its role in Organizational excellence

The current research aims to diagnose the extent of interest in knowledge sharing and its role in achieving organizational excellence at the level of the Iraqi environment Primary data through descriptive statistics (arithmetic mean, standard deviation, coefficient of variation, percentages, frequencies) and hypothesis testing using appropriate statistical methods for inferential statistical analysis (Pearson correlation coefficient, simple linear regression, multiple regression, path analysis) and checking the quality of the data from During (normal distribution, confirmatory factor analysis, structural modeling method, and exploratory factor analysis), after collecting data from (358) observations from the company’s leaders, as the sample was random for a community that included (4300) of the company’s leaders from workers in the Asia company in Iraq, The current research used a number of statistical methods through (SPSS V.26) and (AMOS V.25), and the statistical analysis concluded The most prominent result was the effect of knowledge sharing on organizational excellence.
A Game Theory Approach for Assisting Humans in Online Information-Sharing

Contemporary information-sharing environments such as Facebook offer a wide range of social and practical benefits. These environments, however, may also lead to privacy and security violations. Moreover, there is usually a trade-off between the benefits gained and the accompanying costs. Due to the uncertain nature of the information-sharing environment and the lack of technological literacy, the layperson user often fails miserably in balancing this trade-off. In this paper, we use game theory concepts to formally model this problem as a “game”, in which the players are the users and the pay-off function is a combination of the benefits and costs of the information-sharing process. We introduce a novel theoretical framework called Online Information-Sharing Assistance (OISA) to evaluate the interactive nature of the information-sharing trade-off problem. Using these theoretical foundations, we develop a set of AI agents that attempt to calculate a strategy for balancing this trade-off. Finally, as a proof of concept, we conduct an empirical study in a simulated Facebook environment in which human participants compete against OISA-based AI agents, showing that significantly higher utility can be achieved using OISA.
Creative Teaching Model for Second Language Learning in the Post-Pandemic Era

Indonesia is currently trying to reorganize the education system post-pandemic by using hybrid learning system. In this hybrid learning process, lecturers are required to grow and develop their creativity. This article described the mapping of the model of second language teaching lecturers both English and Arabic at Maulana Malik Ibrahim State Islamic University of Malang on creativity in teaching, in particular to find out how well they understand the concept of creativity and the implementation of creative teaching in the form of classroom activities. This method used was qualitative approach with the type of content analysis. Data were collected through in-depth interviews with 21 second language lecturers, then the data were analyzed using Krippendorff content analysis. The results of this study indicated that second language lecturers had a comprehensive understanding of the demands of creativity in this post-pandemic, because they can clearly explained the meaning of creativity both in ideas and in its realization. In addition to understood creativity and its implementation in teaching activities, this research also showed the synergy between individual creativity as reflected in professional teaching and organizational creativity as seen from the readiness of this university to develop students' creative attitudes through support for campus facilities.
The Use of Deixis in the Students’ Writing Narrative Texts

The study's goal was to identify different types of deixis and types of errors found in students' narrative text writing. There is person deixis, which is the name of the person in the story, spatial deixis, which is the location of the story, temporal deixis, which is the time when the story events, social deixis, which is the social in the surrounding environment, and discourse deixis, which is the part or the next chapter of the story (Levinson, 1983). The descriptive qualitative method was used in this study. The subjects were eight 10th grade students from SMK IKIP Gedangan in Sidoarjo. The instrument in this study was the students' work who took the remedial because their score was less than 70. Students were assigned to write Narrative texts by the teacher. The data was analyzed, examined, and a conclusion was reached based on the deixis. The researchers discovered deixis and error analysis in student writing. There are kind deixis of stories in narrative text that students written like temporal deixis, person deixis, spatial deixis, social deixis, and deixis discourse. For the error analysis there are ommission, addition, misinformation and misordering.
Interactive Android Module Development Containing Three Chemical Representation Levels on Material of Salt Hydrolysis

Three chemical representation is an important aspect of chemistry learning. However, the database study shows that interactive chemistry learning media containing three levels of representation is not available. This research aims to develop and assess the feasibility of an interactive Android-based learning module for senior high school students containing three chemical representation levels on the material of salt hydrolys-is. The study was conducted using research and development (RD) method. Stages of research were con-ducted as follows, analysis, development process, product validation and assessment. The Android module was subsequently validated by media and concept experts and then limitedly assessed by five chemistry teachers and ten senior high school students. The instrument used was validated by an instrument expert. The validation results by media and concept experts indicated that the media was valid in terms of media performance and salt hydrolysis material. Based on teachers' and students' assessments, the media received a score of 87.5% and 83.0%, with very good category. It can be concluded that the interactive Android-based learning module containing three chemical representations on the material of salt hydrolysis was successful-ly developed and can be tested extensively in senior high school. The developed media closed a significant gap in the need of interactive chemistry learning media containing three levels of chemical representation, especially in the material of salt hydrolisis
Estimation of New Equation for Triangle Anterior Dental Arch Form in Sub-Race Deutro Malay

Each race around the world has a different arch form.Measurement of triangle anterior dental arch, analysis model of Maxilla is essential to support the success of orthodontic treatment.This study aimed to determine the new equation for triangle anterior dental arch form and predict space availability in designing adequate orthodontic treatment planning, especially in Sub-Race Deutro Malay.A cross-sectional study was conducted among the "normal" respondent with normal occlusion, including normal facial profile, overjet, and overbite (no asymmetrical arches).One hundred of Sub-Race Deutro Malay teenagers aged 18-23 years old participated.All respondents having normal occlusion were impressed by hydrocolloid materials and made a model study.Then, the data were analyzed by computerized analysis using Microsoft Excel version 16.0 to predict mathematical formulas.The mean of inter-canine width was 36.44±4.18;midline to canine was 18.29±2.07;central incisive to inter-canine was 14.49±1.75;ratio among central intelligent with inter canine and midline to canine was 0.89±0.90;distal canine to the midline of central incisive was 23.26±2.29;ratio among distal canine with the midline of central incisive and distal canine with the midline of central incisive was 0.89±0.90.This study found a new equation arch form of Sub-Race Deutro Malay and suggested new guidance of the anterior dental arch dimension.So, it is also highlighted that an adequate measurement of dental arch ratio among specific races can facilitate the success of orthodontic and prosthodontic treatment.
Glossophobia: Fear of Public Speaking Among Senior High School Students of Aliaga National High School

This study entitled “Glossophobia: Fear of Public Speaking Among Grade 11 Senior High School Students in Aliaga National High School” aimed to describe and analyze the components that contribute to the glossophobia among Grade 11 Senior High School students. Furthermore, it sought to determine the significant difference in the components to glossophobia among the students in terms of their profile. It also aimed to create interventions that can be applied to address challenges and issues on gloosophobia that the students encountered during public speaking class.
Automatic Speech Recognition and Query By Example for Creole Languages Documentation

We investigate the exploitation of selfsupervised models for two Creole languages with few resources: Gwadloupéyen and Morisien.Automatic language processing tools are almost non-existent for these two languages.We propose to use about one hour of annotated data to design an automatic speech recognition system for each language.We evaluate how much data is needed to obtain a query-by-example system that is usable by linguists.Moreover, our experiments show that multilingual self-supervised models are not necessarily the most efficient for Creole languages.
Will Artificial Intelligence Change Some Patent Law Paradigms?

After a brief introduction into the tools of artificial intelligence (AI), the author uses three important research achievements attributed by science writers entirely to the AI to examine the correctness of such reporting in the light of the original research reports. The author presents the practice of the EPO, JPO, SIPO and USPTO, which all in principle grant patents for AI-related inventions. A critical reflection on the academic debate questioning the ability of the established patent law paradigms to master the challenges of the AI technology follows. The facts of the broadly publicised “DABUS” patent applications serve to demonstrate the weakness of the assertion that AI autonomously invented the claimed inventions and to point to the deficiencies of the system and suggest measures to adequately determine, e.g. the prior art, and assess the inventive step requirement for AI- related inventions. In line with the practice of the leading patent offices of the world, the understanding and assessment of that practice by its main users, the author believes that under the impact of the AI technology, the settled patent law paradigms will undergo certain evolutionary adaptations, but will not change as to their substance. Finally, the article critically comments on the EU plans to adopt a regulation, which would specifically deal with all complex aspects of patenting AI related inventions.
The Effect of a Moodle-Based LMS in “Article Writing for Journal” Subject for Post Graduate Students

The goal of this study was to find out how effective a Moodle-based Learning Management Systems (LMS) work for post-graduate students at STKIP PGRI Sidoarjo who are taking a “Article Writing for Journal” subject. To reach that goal, we used total sampling in an experimental method with a pre-test and post-test design for two groups. The students who took part in the study were post-graduate students in the third semester of the 2020/2021 academic year. There were two groups, and each group had 12 students in it. The researchers gave the students a pre-test and a post-test about “Article Writing” as the products to get the data. Then, the researcher used a t-test to see if the model had an effect on the data. The students who were taught using a Blended method that used LMS Moodle and those who were only taught in a virtual class were both better at writing than those who were only taught in a virtual class. SPSS version 26 was used to look at data from the pre- and post-tests. The Manova test and the Normalized gain were used to look at the data (N-gain). Manova's results showed that there was a significant difference in how well students learned to write in English. This means that the treatment that included Moodle-based e-learning and only face-to-face classes has had a big impact on students’ English writing skills.
Where Are Culture and the Science of Culture Going?

The article is based on the analysis of the existence of culture in the modern globalized world with its challenges and contradictions. Based on the materials of a number of International scientific conferences in 2020–2021, the authors reflect on the problems of cultural development (domestic and world), consider current socio­cultural practices, as well as the realities and prospects of cultural studies. It is revealed that the problems of traditions and innovations, preservation of cultural and historical heritage, dialogue and polylogue of cultures, new aspects of cultural policy and transformation of artistic culture, in connection with the expansion of the media sphere, synthesis of cultural studies with other humanitarian disciplines remain relevant in the era of globalization and digitalization. In the problematic field of science — the issues of the ethical culture of the individual and society.
The Positive Influence of Inclusive Finance on Industrial Structure Upgrading

This paper aims to prove that the development of inclusive finance has positive impact on the upgrading of industrial structure.The rationalization of industrial structure is an inevitable requirement for high-quality economic development, while inclusive finance promotes economic development by realizing the extensiveness of financial services.In this process, whether inclusive finance plays a role in boosting the upgrading of industrial structure.The research employs regression analysis based on the panel model.The statistical basis for the study was data from 31 Chinese provinces from 2011 to 2019.The results confirm the hypothesis that the development of inclusive finance have a positive role in promoting the upgrading of the industrial structure and the promoting effect is distinctly heterogeneous: the promotion role of inclusive finance is the most significant in the eastern area, and in the middle and western regions the role still has room for development.This conclusion can further respond to the call for common prosperity, accelerate the upgrading of the consumption structure, promote economic development, build a clean industrial environment and form a new development pattern so as to achieve the high-quality and sustainable development of China's economy.
The Development of Impulse and Momentum E-Module with Authentic Learning Content in Cooperative Learning Model Syntax

The Development of Impulse and Momentum E-Module with Authentic Learning in Cooperative Learning Model Syntax. Objectives: The general objective of this research is to produce an impulse and momentum e-module product containing authentic learning in the cooperative learning model syntax, as well as describing its feasibility. Methods: The type of research is research and development used the ADDIE model within 17 students. Data obtained through instrument used is e-module validation sheet, student response questionnaire, and learning outcomes test. Findings: The results showed that: (1) validity of e-module scored by 3.25 categorized as valid, (2) practicality of E-Module scored by 2.94 categorized as practical, (3) effectiveness of e-module scored by 0.57 categorized as medium. Conclusion: It can be concluded that e-module impulse and momentum contained authentic learning through cooperative learning model is eligible to be used in learning process. Keywords: e-module, impulse and momentum, authentic learning. Abstrak: Pengembangan E-Modul Impuls dan Momentum Bermuatan Pembelajaran Autentik dalam Sintaks Model Pembelajaran Kooperatif. Tujuan: Tujuan umum penelitian ini adalah menghasilkan produk e-modul impuls dan momentum bermuatan pembelajaran autentik dalam sintkas model pembelajaran kooperatif, sekaligus mendeskrispsikan kelayakannya. Metode: Jenis penelitian ini adalah penelitian dan pengembangan dengan menggunakan model ADDIE. Subjek uji coba dalam penelitian ini adalah 17 peserta didik. Data diperoleh melalui instrumen lembar validitas e-modul, angket respon, peserta didik, dan tes hasil belajar peserta didik. Temuan: Hasilnya menunjukkan bahwa: (1) Validitas E-Modul diperoleh skor 3,25 berkategori valid; (2) Kepraktisan E-Modul diperoleh skor 2,94 berkategori praktis; (3) Efektivitas e-modul diperoleh skor 0,57 berkategori sedang. Kesimpulan: Diperoleh simpulan bahwa e-modul impuls dan momentum bermuatan pembelajaran autentik melalui model pembelajaran kooperatif dinyatakan layak digunakan dalam proses pembelajaran. Kata kunci: e-modul, impuls dan momentum, pembelajaran autentik. DOI: http://dx.doi.org/10.23960/jpp.v12.i1.202214