Reviewerly/exHarmony huggingface dataset:
PERSON, MORAL CULTURE AND SOCIAL FREEDOM: A PHILOSOPHICAL RE-APPRAISAL

A person is not independent, perfect and self-sufficient. A person in the context of society and culture should appreciates, values the good of an action, chooses it over its alternatives and eventually may bring it to actualization. However, in our current era, there is now a sense of pending disaster, the rootlessness of the human person, which points to the decadence of moral culture. Moral decadence within societies and culture has led this research to appraisal of the concepts and linkage between person, moral culture and social freedom. This research argues that there is an urgent need to grasp with new insight the dignity of the person, to recoil from oppression and to search for ways to respond to the moral dilemmas among human cultures and societies. This calls for a moral imperative that can survey the values of human culture so that the profoundly humane achievements and commitments of people might be engaged and promoted. This work employs the philosophical tools of critical analysis in carrying out this research
Library Guides: JoVE for High Schools in Northampton and Lehigh Counties: Home

This is a guide with information for a pilot partnership between Lehigh University Libraries, JoVE and high schools in Northampton and Lehigh counties to provide no-cost access to JoVE STEM videos.
A Bacterial Foraging Algorithm with Random Forest Classifier for Detecting the Design Patterns in Source Code

A program design can be understood by the developers through detecting the design patterns in objectoriented programming source code.The main advantage of the design pattern detection includes maintainability, understand-ability and reusability of object-oriented programs.An object-oriented program is used as the input to the design pattern detection techniques, which judges the candidate roles of the patterns.The existing pattern detection techniques use the machine learning (ML) techniques, namely Support Vector Machine (SVM) and Decision Tree with all feature metrics (more than 70 metrics) to identify patterns, which increases the computation time.To minimize the issues of using all feature metrics, an effective feature selection technique is used in the research study.The most important relevant features are selected by proposed Bacterial Foraging Algorithm (BFA) and given as input to ensemble classifiers namely SVM, Decision Tree and Random Forest (RF) classifier to design pattern detection.By using BFA technique, the method used only five metrics for the identification of patterns, where existing techniques uses 70 to 80 metrics for same pattern detection.The simulations are conducted to test the effectiveness of BFA with ensemble classifiers on the Python Software platform in terms of average accuracy and precision.The results stated that BFA-RF achieved 88.57% of average accuracy, where BFA-SVM technique achieved 81.43% of average accuracy, which shows the RF achieved better results among other ensemble classifiers.
LibGuides: IED-PK | How to Get Copyright Clearance: Contact Us

The purpose of this guide will assist you to get permissions for learning materials and their fair use.
Comparison of Algorithms of Individual and Group Behavior

It has been suggested that the functionality of matter, life, and mind can be described by algorithms containing a sequence of steps and feedback mechanisms. Social processes were until now not considered. Consequently, we examine algorithms of behavior of groups of various kinds, identify their common parameters, and undertake a comparative analysis to the algorithm of individual behavior. We conclude, that despite some application-specific differences, groups operate in accordance with a unified algorithm and, furthermore, this algorithm is the same as the generic algorithm of individual behavior. We demonstrate that in the generally perceived progression matter-life-mind-culture/society, the latter transition cannot be validated. Homogeneity of algorithms of individual and group behavior leads to the proposition that the human mind/psyche and social processes belong to the same level of complexity of nature. This challenges the commonly held perception that society/culture is a standalone perspective of reality separate from the mind.
GAME EDUKASI DAN CERITA INTERAKTIF SEJARAH KERAJAAN DI SUMATRA MENGGUNAKAN ALGORITMA FUZZY SUGENO UNTUK MENGATUR PERILAKU NPC

As time progresses, more and more lessons can be found in the world of education.As with the lessons of history, over time, more and more events have occurred in this world, where some historical events or are quite important and useful as guidelines in the next era.In the history lesson there are many interesting and useful stories to learn so that we today know how human civilization processed in those days.One of them is the history of learning about the kingdom.The students in the school should be able to understand the history lessons that are identical to the writings packaged in the form of descriptions.Not a few students in the present era look weak when it to read too much and memorize.With this problem, efforts are made by utilizing technological developments, to create a learning medium in the form of interactive games that will help the students in understanding about the history of the kingdom located in Sumatra.The results of this study are an application that can be used as an interactive learning medium supported by a game, royal historical material, questions about the kingdom, and also equipped with combat action where given the fuzzy sugeno algorithm as the npc behavior regulator.
PENINGKATAN KETRAMPILAN MENYIMAK PELAJARAN BAHASA INDONESIA MELALUI PERMAINAN BISIK BERANTAI

This study aims to look at the influence of chain whispering games on the skills of listening to Indonesian in third grade students at SD N 101 Palembang. This study uses the experimental design of One Group Pretest-Posttest. The research subjects were 10 third grade students of SD N 101 Palembang, which were grouped into one experimental group. The sampling technique used is purposive sampling.&#x0D; To measure listening skills used a learning achievement test measuring instrument in the form of multiple choice questions.At the pretest, subjects were given a pretrial study only, and then were given a four-day whiskey game treatment. After treatment, participants were given a posttest using achievement tests.&#x0D; The data in this study were analyzed using paired sample t-test techniques, the results of the analysis obtained a very significant influence on the whisper chain game on listening skills with a p value of 0,000 (p &lt;0.05) and a value of t = 6.042. Based on these results it can be concluded that the chain whispering game affects the listening skills of Indonesian language lessons in third grade children at SD N 101 Palembang
Energy-aware parameter tuning mechanism for workflow scheduling in the cloud environment

Cloud Computing is one of the successful computing paradigms and it has contributed to the huge growth of the IT industry as well as individual usability of computing resource due to its ease of accessing resource properties. Moreover, cloud computing emergence has another advantage for deployment in a large scientific workflow. The scientific workflow defines a computation series which enables data analysis in a distributed and structured manner; since this workflow possesses a huge amount of task, energy consumption is a primary issue. In this research work, we have designed an efficient mechanism named EAPT (Energy-Aware Parameter tuning) to minimize energy consumption; in here two eminent parameter such as computation parameter, communication parameter and task size are tuned for optimizing these parameters resulting in minimization in energy. Further EAPT achieves the energy minimization through balancing the load dynamically, through tuning the above discussed parameter. EAPT tunes this in efficient way such that load are distributed based upon resources. EAPT is evaluated by considering the energy consumption as a parameter and varying the number of VM as 20, 40 and 60; moreover, a comparative analysis is carried out with the existing DVFS model. Comparative analysis shows that EAPT consumes marginally less energy than the existing model.
Sparse HP Filter: Finding Kinks in the COVID-19 Contact Rate

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COSINE SIMILARITY FOR ESSAY ANSWER DETECTION

Saint Mary Senior High School is the one of the famous private schools in Pekanbaru. examination in Saint Mary Senior High School has used a smartphone for multiple choice questions, while in essay questions the pen-and-paper is still used (manual). The number of examination scripts received from students is a problem for a teacher to see the similarity of students' answers with the answer key. At present, there is no system that can assist in checking answers. This study began with the selection stage, which is done by the interview process and filling out the questionnaire. Then proceed with an analysis of this case is used to look for possible development needs of the system. Then the programming language used is PHP and uses MySql database. Web-Based Essay Answer Detection Application Using Cosine Similarity Method in Saint Mary Senior High School. With the application of the essay answer detection application in Saint Mary Senior High School, it is hoped that it will be easier for the teacher to conduct the exam. Besides, it is expected that the application of a computerized system and the use of a database can accelerate the processing of student ranking grades effectively and efficiently.
Self-esteem, empathy and introversion among adolescent readers

Aim: This study is aimed to investigate the levels of self-esteem, empathy and introversion in adolescent readers based on their levels of reading. Self-esteem is quite simply one’s attitude toward oneself (Rosenberg, 1965). Empathy can be defined as the act of coming to experience the world as you think someone else does (Bloom, 2016). Introversion refers to a personality type in which there is an orientation towards the internal private world of one’s self and one’s own inner thoughts and feelings, rather than towards the outer world of people and things (American Psychological Association [APA]). Individuals belonging to this category are usually quiet, reserved and shy.  Adolescence refers to the period of human development that starts with puberty (10-12 years) and lasts till maturation (approximately 19 years). Method: This study has been conducted on 120 participants belonging to adolescent age group (09-19 years) through purposive sampling.  The tools for data collection used in the study are Rosenberg Self-esteem Scale (Morris Rosenberg, 1965), Toronto Empathy Questionnaire (Spreng et.al, 2009) and Introversion Scale (McCroskey). Data is analyzed using SPSS by the application of Kruskal Wallis Test and Post-hoc analysis. Results: The results indicate significant difference in the levels of self-esteem, empathy and introversion among adolescent readers varying on their reading level. That is, individuals with high levels of reading show higher levels of self-esteem, empathy and introversion compared to their counterparts.
El Covid-19: un análisis educativo a través de la perspectiva humana

The Covid-19 has multiple explanations generated by the medical sciences, which aim to learn about the behavior of microorganisms, including fungi, bacteria, viruses, and how they can behave dichotomously, generating benefits in humans and in other cases affecting it at the level of mass deaths; however, this article adds other perspectives, which allows an analysis of new human behaviors from the side effects of the pandemic, circumscribed in the social dynamics run in isolation and as this condition It has had an impact on the education of students, on interpersonal relationships from the family nucleus, and how the human being is in a new relationship in the world, the product of a pedagogical absence that reinforces the collective historical memory that avoids cyclical transit at junctures. that violates life in the global village.
Analisis Kerentanan Sosial Dan Ekonomi Terhadap Bencana Banjir Sungai Dengkeng Di Kecamatan Cawas Kabupaten Klaten

Natural disasters that often occur in Indonesia, especially in The District Cawas is a flood disaster overflow river. Klaten disaster records explained that all areas in Cawas subdistrict are areas that are in the red zone of flood disasters. Flood disaster in Cawas sub-district caused losses in both social and economic aspects, so it is necessary to conduct a study on socioeconomic vulnerability to flood disasters in Cawas District, Klaten Regency.The study of socioeconomic vulnerability to flood disasters was conducted by utilizing secondary data and geographic information systems (SIG) for mapping social and economic vulnerabilities. The analysis method used is a secondary data analysis method that pays attention to the weighting influence of each parameter of socioeconomic vulnerability. According to giyarsih and setyaningrum method (2012) parameters used in determining socioeconomic vulnerability to flood disasters include social vulnerability of population density, people with disabilities, vulnerable age population, and female population. Economic vulnerability of agricultural land area, number of economic facilities, and livelihoods.There are 3 classes of socioeconomic vulnerability to flood disasters in Cawas sub-district as a result of the mapping that has been done, among others, low vulnerability, medium vulnerability, and high vulnerability. Low social vulnerability level of 18 villages and medium vulnerability of 2 villages. Low economic vulnerability rate of 9 villages; medium vulnerability of 4 villages; and high vulnerability of 7 villages. The results showed that secondary data analysis method by paying attention to existing parameters is very helpful in mapping socioeconomic vulnerability to flooding and needs further study.Keywords: Social Vulnerability, Economic Vulnerability, Klaten
Towards a Trust-Aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism

Recommender Systems provide users with recommendations for potential items of interest in applications like e-commerce and social media. User information such as past item ratings and personal data can be considered as inputs of these systems. In this study, we aim to utilize a trust-graph-based Neural Network in the recommendation process. The proposed method tries to increase the performance of graph-based RSs by considering the inferred level of trust and its evolution. These recommendations will not only be based on the user information itself but will be fueled by information about associates in the network. To improve the system performance, we develop an attention mechanism to infer a level of trust for each connection in the network. As users are likely to be influenced more by those whom they trust the most, our method might lead to more personalized recommendations, which is likely to increase the user experience and satisfaction.
Sign Prediction and Sign Regression

Intuitively, model-predicted signs matter a lot in finance, especially for investment strategy constructions. This paper proposes an approach whereby the loss function regularizes the errors in prediction in different ways. In particular, the loss function considers errors in predicted signs and the sizes and signs of the residuals in the model prediction simultaneously. Less weight is given to residuals with correctly predicted signs, while more weight is assigned to residuals with wrongly predicted signs. This is important because agents make decisions according to model predictions, especially the signs of the predictions. At the same time, larger residuals are penalized more and smaller residuals are penalized less. The signs of the residuals are considered in the loss function because they also affect decision-making processes. This paper proposes a new approach, termed “sign regression”, which takes these considerations into account. We show that ordinary least squares estimators generate better Sharpe ratios than sign regression does for most of the assets studied in this paper. However, sign regression can perform better for some assets.(Published at Journal of Investment Strategies, DOI: 10.21314/JOIS.2021.002)
Arquivo e Práticas Contemporâneas

The following article aims to address concepts related to archives and reflect on the organization and systematization of information.One of the distinctiveness of the contemporary archive is its versatility, it stores analog and digital content such as photos, movies, audio, etc.This comprehensive study aims to question the archival processes throughout time, it’s relation with memory and the relevance of photography as an atmosphere that enables recollections.In the words of Micheal Foucalt (1986), archives are an attempt to store everything, bringing into time and space the notion of knowledge.To understand what archive means within the context of our present lives, Paulo Bernardino Bastos (2006) advocates that along with the rise of digital technologies, there are increasingly more projects online that strive to transform the “archival sites”, this transformation is motivated by contemporary society’s velocity of visual consumption of images.With technological development, archives suffered many changes and as a consequence, drastically altered the way information is accessed and created, the technological applications we use on daily basis, whether it be by private or public institutions, have a great influence in document management archives.
Engaging Researchers in Data Dialogues: Designing Collaborative Programming to Promote Research Data Sharing

A range of regulatory pressures emanating from funding agencies and scholarly journals increasingly encourage researchers to engage in formal data sharing practices. As academic libraries continue to refine their role in supporting researchers in this data sharing space, one particular challenge has been finding new ways to meaningfully engage with campus researchers. Libraries help shape norms and encourage data sharing through education and training, and there has been significant growth in the services these institutions are able to provide and the ways in which library staff are able to collaborate and communicate with researchers. Evidence also suggests that within disciplines, normative pressures and expectations around professional conduct have a significant impact on data sharing behaviors (Kim and Adler 2015; Sigit Sayogo and Pardo 2013; Zenk-Moltgen et al. 2018). Duke University Libraries' Research Data Management program has recently centered part of its outreach strategy on leveraging peer networks and social modeling to encourage and normalize robust data sharing practices among campus researchers. The program has hosted two panel discussions on issues related to data management—specifically, data sharing and research reproducibility. This paper reflects on some lessons learned from these outreach efforts and outlines next steps.
Readiness of PSTE Students to Become Elementary School Teacher (Self Reflection Study)

The purpose of this study is to describe the readiness of PSTEstudent to become an elementary school teacher through self reflection study. The methodology in this research is qualitative with documentation dan observation approaches. The data source was PSTE sudent batch 2017 on President University, namely 4 participants who were chosen based on research needs. The result of self reflection study found that readiness of PSTE student to become elementary school teachers varies depending on their standard on self reflection. In addition, it was also found that there were two groups of PSTE students in this study, namely 1) a group of student who made self-calling as standard in their self regulation and 2) a group of student who made competence as standard in their self regulation. The readiness of PSTE student to become elementary school teachers could not be standardized by the self-reflection model because it was personal, subjective, and dynamic following the development of each individual. But, self reflection could be tool for helping PSTE student to prepare themselve as a prospective teacher in the future. The findings from this research can be used as a reference for teacher education program on enhancement PSTE student readiness especially on pedagogy and English language skills and develop habit of self-reflection as prospective teacher.
Students' perception of the International University of Novi Pazar on the exchange and transfer of knowledge through information technology

A characteristic of modern society in the last few decades is the increasingly powerful exchange and transfer of knowledge through information technologies that offer tools for the production, creation, collection, organization, use and storage of knowledge and information. The research was conducted among students of the International University of Novi Pazar, with indicators that indicate the degree of understanding and use of computers and the development of information literacy, after which young people should understand and rationally use information and communication technologies. Students provided answers to questions such as: how to access information and how to evaluate information in a youth support process related to research processes that enable young people to find, download and make relevance assessments, Everyday use of computer-aided technologies by young people also generates larger amounts of information that are difficult to manage. So, young people have a large amount of important information that needs to be recognized on the one hand, and understood on the other, and finally situated in a harmonious relationship, so for them, in computer and IT terms, complex tasks are set, such as how to choose the right technology and how to manage that information. Information management refers, among other things, to the ability of young people to take responsibility, fundamentally for the process of planning, organizing, coordinating and controlling.
Analysis of Linear Algebra

Direct variable based math is a field of arithmetic that is all around consented to be an essential to a more profound comprehension of AI.  Albeit direct variable based math is an enormous field with numerous elusive hypotheses and discoveries, the stray pieces devices and documentations taken from the field are functional for AI experts. With a strong establishment of what straight variable based math is, it is conceivable to zero in on the great or important parts.  In this instructional exercise, you will find what precisely direct variable based math is from an AI point of view.
PERAN PEMIMPIN REDAKSI DALAM PENGELOLAAN MEDIA ONLINE ARTNESIA.ID

ARTNESIA.ID is a journalistic work that uses online media with the information on Indonesian archipelago art and culture as its content. Besides providing information, ARTNESIA.ID is also designed as a media for the art and culture communities. As a media for communities, the creator expects that ARTNESIA.ID can become a contribution channel for the artists or art doers and art observers who want to present their works or even just to share any information on activities/events. To be accountable for this online journalistic work, the creator uses the concept of media management that includes planning, organizing, and controlling in managing and delivering contents in the form of writings. key word: Online media, art and culture, media for communities