Reviewerly/exHarmony huggingface dataset:
The Cultural Psychology of Religion and Political Ideals: Political Liberalism as a Protoevangelium?

In his first letter to the church in Corinth, Paul remarks memorably that perception of divine truth is comparable to seeing "as through a glass darkly" (1 Corinthians 13:12 New International Version).For a number of contemporary Christians, the glass through which humans might perceive dimly the truths of the Christian faith is thought to have grown darker over the past two centuries due, in part, to the manner in which the culture of advanced political democracy has undermined revealed religion-has rendered more opaque the light of Christian faith.One villain in this view is the environment of meaning supported by political liberalism, an ecology formed by widely disseminated decrees of courts and legislative bodies as well as by a set of cultural expectations concerning the scope of justice realizable through state power, an expectation growing from, and reinforced by, the juridical and legislative pronouncements of the liberal state itself.Such an ecology of meaning is held by some Christians to have created an environment in which traditional Christian faith is perceived as marginal, or, worse, as harmful [1].Hence, it is claimed that humanity's capacity to know God, if only imperfectly, is made even more difficult by the rise of political liberalism and the symbolic universe it delimits: a world of governments always unmoored to churches or other religious institutions, a world, as a result, where the decisions of states can defensibly and intelligibly be grounded not on revelation but only on natural science, and where, partly in consequence of the state's firm pursuit of justice, the morally serious pursue not transcendence, but the rectification of injustice in this life, unconcerned with a justice beyond the here and now-the justice dispensed to an immortal soul.These features of the culture of contemporary liberalism-separation of church and state and the resultant elevation of science as the basis of state decision making, and the overarching concern with overturning on earth injustice and the associated loss of the persuasive appeal of divine justice in a future life-have made much darker the knowledge of God's truth, creating, it is claimed, a "culture of disbelief " [2].In this work I develop, on the contrary, the hypothesis that the ideas created through the mediation of liberal courts and legislatures, and the cultural expectations that ensue, have forged a set of meanings that, although they may well have some of the consequences certain Christians decry, also, if seen in a proper light, have the power to incline the mind to conceive as plausible basic propositions of the Christian faith.Specifically, I hypothesize that the world in which church and state are separated and science brought to the forefront of culture, and the world in which the men and women whom all can agree to call heroes are those who seek to press as far as possible the redress
Perancangan Sistem Informasi Perpustakaan Berbasis Web Menggunakkan Metode Waterfall

SDK Buntal is an educational unit located in Golo Lijun Village, Elar District, East Manggarai Regency, NTT. In its activities, SDK Buntal has not implemented information technology in the school library. The library at the Buntal SDK currently still uses manual methods in processing libraries such as user data, searching and checking books to be ineffective because it takes a long time, book collection, borrowing and returning books, as well as late and lost data have not been properly structured. The purpose of this research is to design a Website-Based Library Information System in order to assist in collecting data and providing information for officers and members. In this Library Information System Research, the writer uses descriptive research, software design method using waterfall, and programming language using PHP and for database using MYSQL. The results achieved from this research, namely, can simplify and speed up the service process at the library and librarian can obtain work efficiency in managing library books, as well as presenting information more easily and interactively.
Ultimate Tic-Tac-Toe Bot Techniques

In this work, we consider the game Ultimate Tic-Tac-Toe. We apply different bot-based strategies for play and compare their effectiveness, including: random play, a heat-map approach, Monte Carlo Tree Search, and functionality similar to AlphaZero. Our work reveals another game that AlphaZero crushes the competition.
Research analysis and suggestions on mobile Chinese learning APP Hello Chinese based on network and mobile devices

With the popularization of network and mobile devices all over the world, more and more Chinese learning is changing from offline to online. Recently, especially affected by the epidemic, offline teaching is almost interrupted, and many students begin to choose to use Chinese learning app. However, as a new learning method, there is little research, which brings difficulties for students to choose mobile Chinese learning app to learn Chinese. Based on the full use of Hello Chinese, this paper makes a detailed analysis of the app from the perspectives of pronunciation, vocabulary, grammar, Chinese characters, culture, etc. points out its advantages and disadvantages, especially some problems in the aspect of Chinese ontology, and on this basis, puts forward some improvement suggestions for the app developers, so as to make Hello Chinese more perfect and make students choose Chinese learning app is no longer blind, and ultimately can better serve for mobile Chinese learning.
Learning Discriminative Features for Adversarial Robustness

Deep Learning models have shown incredible image classification capabilities that extend beyond humans. However, they remain susceptible to image perturbations that a human could not perceive. A slightly modified input, known as an Adversarial Example, will result in drastically different model behavior. The use of Adversarial Machine Learning to generate Adversarial Examples remains a security threat in the field of Deep Learning. Hence, defending against such attacks is a studied field of Deep Learning Security. In this paper, we present the Adversarial Robustness of discriminative loss functions. Such loss functions specialize in either inter-class or intra-class compactness. Therefore, generating an Adversarial Example should be more difficult since the decision barrier between different classes will be more significant. We conducted White-Box and Black-Box attacks on Deep Learning models trained with different discriminative loss functions to test this. Moreover, each discriminative loss function will be optimized with and without Adversarial Robustness in mind. From our experimentation, we found White-Box attacks to be effective against all models, even those trained for Adversarial Robustness, with varying degrees of effectiveness. However, state-of-the-art Deep Learning models, such as Arcface, will show significant Adversarial Robustness against Black-Box attacks while paired with adversarial defense methods. Moreover, by exploring Black-Box attacks, we demonstrate the transferability of Adversarial Examples while using surrogate models optimized with different discriminative loss functions.
User Perception of Convenience and Visual Quality of Classroom Lectures in Makassar City

The classroom environment needs to be well organized to allow active interaction between students and lecturers.The purpose of this study was to determine the comfort and visual quality of lecture classrooms based on user perceptions with the factors that form visual quality and the principles of visibility, ease of achievement, the flexibility of space, beauty, and visual comfort of building users.Methods The research uses a qualitative descriptive method.Analysis by describing and identifying every aspect that exists.The research approach used is deductive.Data analysis was carried out using the interactive model method to present statistical correlation and Likert scale data.The data analysis steps start from the data reduction stage, data presentation, and drawing conclusions and verification.The results of the study concluded that the forming factors of visual quality such as not using artificial light because it had an impact on shadows and heat in the room, the use of projector media (LCD) in the teaching and learning process, the atmosphere/impression of the visual quality of natural light, and the area and arrangement of the space became the dominant factor in providing comfortable perceptions for room users than for the most dominant class physical environment factors that provide comfortable perceptions, namely the comfort factor in learning related to room temperature, light, sound, and class density as well as beauty and aesthetic factors in the classroom-related to the arrangement of furniture in the classroom.
Gender differences learning strategy at English Language Education Department Students University Of Muhammadiyah Malang

Gender difference can be assumed as an individual difference generally existing and catching attention in the foreign language teaching and learning.This research aims at finding out the strategies used by the students in learning English and students’ perspective on the learning strategies based on their gender. The data are gathered through questionnaires and interview which are given to the students of English Language Education Department. This study discovered that male and female students differ in the learning strategy, and the female students score higher in the use of learning strategy than the males. Metacognitive and social learning strategy were highly used by female students. On the other hand, male students score compensation, metacognitive and cognitive learning strategy as their attempts to learn English. The result also found that females use all the strategies more often than males particularly on metacognitive strategy. Moreover, there are differences in the use of other strategies, but the finding is not remarkable.
The relationship between metacognitive skills and the coach's readiness for professional and educational self-development

The purpose of our study is to identify the relationship of metacognitive skills indicators with the components of professional self-development of coaches. The data were gathered via online survey. The study involved coaches (n = 53) aged 22 to 60 years in various sports, with a professional experience of 1 to 34 years. We are used the questionnaire "Diagnostics of the level of partial readiness for professional-pedagogical self-development" and the questionnaire "Reflexive skills (metacognitive level)" by E.V. Savchenko, methods of mathematical statistics (Spearman's correlation coefficient). According to the results of the study, a relationship was revealed between the general level of development of metacognitive skills and all components of the coach's readiness for professional self-development. According to the results of the study, interrelations were revealed with all components of the coach's readiness for professional self-development and such parameters of metacognitive skills to organize the problem-solving process, to regulate your own emotional states, to monitor mental activity, to form probabilistic problem-solving models.
Solving Vertex Cover Problem using Quadrature Photonic Spatial Ising Machine

In this paper, we solve the 1600-vertex cover problem by a novel quadrature photonic spatial Ising machine. Our work suggests flexible combinational optimization problem solving for Ising models with external magnetic field.
National webinar for scientific writing training

According to the 2019 OECD survey, Indonesia ranked 62 out of 70 countries in terms of literacy levels. The purpose of the community service is to provide motivation, knowledge, and skills to participants in the field of scientific writing. A web seminar for scientific writing training, which held online on November 13, 2021 and attended by 384 people, used as program method. According to the feedback, the implementation of the webinar training for scientific writing, 92.2% of participants said they were motivated to write scientific papers, and 96% said they could write scientific papers properly and correctly.
Decentralized Data trading Model Based on a Public Blockchain

The big data industry has developed rapidly. It is of great significance for the healthy development of the big data industry to connect data supply-demand and promote data circulation through data trading. However, the existing third-party data trading platforms have the ability to view and steal transaction data and true identity. It has become a potential threat to both parties and an obstacle to data trading. Based on the research of blockchain technology, smart contract, and cryptography technology, this paper proposes a data trading model based on a blockchain for the security of data trading. The model uses the Interstellar File System (IPFS) and zero-knowledge proof to solve the security of data. Firstly, IPFS and cryptography are used to store and access data files safely. Secondly, based on secure storage and access, a data trading request is broadcast to a blockchain network. And the blockchain responds to the transaction request. Then, to obtain the original data file, the ciphertext got from the blockchain is decrypted based on the response message. Finally, the zero-knowledge proof system in the model is used to pay transaction fees to both parties. This process protects the security of payments. Through this model, both parties can complete the data trading. It also protects the security of data. In this paper, the proposed scheme is implemented on the Ethereum platform. The experimental results show that the proposed data trading model performs well in the security of data trading.
Pgtcn: A Novel Password-Guessing Model Based on Temporal Convolution Network

Text password is the primary method for identity authentication. Since easy-to-remember passwords are often chosen with specific rules in practice, those passwords are vulnerable for password-guessing attacks. The study of password-guessing not only enhances understanding of password security, but also promotes the improvement of password library security. Nowadays, many researchers work on modeling password-guessing via neural networks, such as Recurrent Neural Network(RNN), Generative Adversarial Network(GAN), and Variational Auto-Encoder(VAE). To further improve password-guessing efficiency, we propose PGTCN, a novel password-guessing method built on Improved Temporal Convolution Network (ITCN) neural network. The ITCN improves the network prediction capability by residual learning and feature fusion techniques. With these techniques, PGTCN is able to automatically study the structure and characteristics of the passwords and generate new passwords based on the learned knowledge. To verify the performance of PGTCN, we compare it with three existing models on six public password datasets. Evaluation results show that the structure coverage rate and password matching rate of our model significantly outperform the others.
Multitrait-Multimethod Technique for Construct Validity: A Case Study for Instruments of Critical Thinking Ability and Creative Thinking Ability in Programming Course

Every psychological measuring instrument has a certain feature or stimulus introduced specifically to represent the trait it intends to measure.A measurement instrument, whether in the form of a test, rating scale, or other devices, almost certainly elicits systematic variance in responses due to the two groups of features.If an irrelevant method variance contributes to the obtained score, then the score is considered invalid.Therefore, it is necessary to test the construct validity of the instrument.This study applied the multitrait-multimethod test to test the validity of the constructs with case studies on creative thinking ability test instruments and critical thinking skills tests in a programming course.Each instrument was developed in two forms, namely description and multiple choice.Initially, the instrument's content validity was tested qualitatively and quantitatively by applying the Lawshe formula.The multitrait-multimethod matrix showed that the convergent validity was met because the reliability values on the diagonals were all high.Furthermore, the multitrait-multimethod matrix also showed that the discriminant validity was also fulfilled because the monotrait-heteromethod cell values showed a high correlation.In contrast, the heterotrait-monomethod cell values showed a low correlation value.The findings above indicated that the creative thinking ability test and critical thinking ability test, which were developed in the form of a description test and a multiplechoice test, have met the construct validity, respectively.
Double Convolutional Neural Network for Fault Identification of Power Distribution Network

The rapid and accurate identification of different types of faults in the power grid is of great significance to the stable operation of the power grid. An identification model of transient fault recording data for distribution network based on double convolutional neural network is proposed in this paper. The 1-dimension convolutional auto-encoder (1-D CAE) is used to learn features from the power grid transient data. The obtained low-dimensional fault features are imported into the 1-dimension convolutional neural network (1-D CNN) identification model. The accurate identification of transient fault data types is achieved by adjusting the parameters of the proposed model. The identification accuracy of the proposed model is higher than that of the traditional methods by the verification of the measured transient fault data of the power distribution network.
ONLINE TRAINING AS ONE OF THE EFFECTIVE FORMS OF BLENDED LEARNING OF FUTURE LAWYERS IN PROFESSIONAL PRELIMINARY EDUCATION INSTITUTIONS

The article outlines the directions of using trainings during mixed training of future lawyers in institutions of professional higher education. The stages of conducting online trainings for future lawyers in the institution of professional higher education are determined and characterized: preparatory-target, design-methodical, implementation-technological and analytical-reflective.
Financial Development, Human Capital Development and Income Inequality: Evidence from Developing Countries

This study investigates the nexus between financial deepening and income equality in developing countries. Two indicators of income inequality, the Gini coefficient, and the income share of the bottom quintile of the population, are used for this analysis of 31 developing countries spanning the period 1996 to 2019. The system generalized method of moment (GMM) is used to tackle the problem of endogeneity. This study finds the inverted U-shaped relationship between gross domestic product (GDP) per capita and income inequality, while the non-linear relationship is observed between financial deepening and income inequality. This implies that at an early stage of financial development income inequality increases and as a certain threshold level of financial development is marked, income inequality decreases. Moreover educated and healthy human capital has negative impacts on income inequality in developing countries. Therefore this study infers to enhance human capital development in developing countries to crush down income inequality.
INTEGRATED APPROACH AS A MEANS OF FORMATION OF LEGAL COMPETENCE OF FUTURE MANAGEMENT MANAGERS OF EDUCATIONAL ESTABLISHMENTS IN THE CONDITIONS OF A MAGISTRACY

The article, based on a theoretical study, scientifically substantiates the need for the formation of legal competence of future management managers of educational establishments in the conditions of a magistracy. The semantic essence and significance of the integrated approach as a powerful means of forming the studied formation are revealed.&#x0D; The authors argue that the organization of classes on the basis of an integrative approach is pedagogically appropriate, because they accelerate the process of adaptation of students, future managers of educational institutions to practical situations, develop skills in using theoretical knowledge of various disciplines in conjunction with acquired practical legal skills. , contribute to the structuring of the integrity of knowledge on the research problem. Therefore, they really reflect the integration processes in the formation of legal competence of future managers in the management of educational institutions in the master's degree.&#x0D; Further research of the problem is seen in clarifying the purpose, content and means of formation of legal competence in future managers of the management of educational institutions in the master's degree through the integration of only professional disciplines.
In the “Post-epidemic” Era, the Idea of the Construction of an International Chinese Online Platform

In the “post-epidemic” era, online learning mode has become the mainstream form or even the only form of international &#x0D; Chinese language education.At present, the existing international Chinese online education platform has its own characteristics &#x0D; and shortcomings, so it is imperative to design an integrated international Chinese online education comprehensive platform.This &#x0D; paper puts forward the development and construction, function setting and technical support of this platform.
ATM Secured Password

ATM secured password is multi sequence or multi authentication system which used I for authentication in ATM transactions . Biometric scanning is your "ordinary" mark and Licenses or Vouchers, incription and decription prove your authority. But, some reject to feel tough (Biometric scanning).Mostly written passwords, nowadays, are kept very simple say a mobile number /birthdate. So We Want to Apply This Password At the time of ATM transaction
Disease Prediction using Machine Learning

Abstract: It is a system which provides the user the information and tricks to take care of the health system of the user and it provides how to search out the disease using this prediction. Now a day’s health industry plays major role in curing the diseases of the patients so this is often also some quite help for the health industry to inform the user and also it's useful for the user just in case he/she doesn’t want to travel to the hospital or the other clinics, so just by entering the symptoms and every one other useful information the user can get to grasp the disease he/she is affected by and also the health industry may also get enjoy this method by just asking the symptoms from the stoner and entering within the system and in only many seconds they'll tell the precise and over to some extent the accurate conditions. This Disease Prediction Using Machine Learning is totally through with the assistance of Machine Learning and Python programming language and also using the dataset that's available previously by the hospitals using that we are going to predict the diseases. Keywords: Prediction, Decision Tree, Random forest, Naive Bayes
Quality Analysis of an English Test Designed against the Framework of <i>China’s Standards of English Language Ability</i>

Taking a final college English test for non-English majors as an example, this study describes the design and content of the test against the framework of China's Standards of English Language Ability.363 test takers are selected as samples and SPSS software is used to analyze the quality of the test from perspectives of reliability, validity, difficulty and discrimination.The results show that the overall quality of the test is good, but the type and difficulty of some test items need to be improved and adjusted.The paper also provides a positive exploration and experiment for the application of China's Standards of English Language Ability in college English assessment.Moreover, the paper provides guidance for the the alignment of the China's Standards of English Language Ability with the school-based English test of the author's university.