Reviewerly/exHarmony huggingface dataset:
Use Cases and Algorithms of the EnMAP Mission Planning System

The Environmental Monitoring and Analysis Program mission (EnMAP) is a German hyper-spectral Earth observation mission, currently scheduled for launch in 2022. The EnMAP Mission Planning System (MPS), developed and operated by the German Space Operations Center (GSOC), is responsible for compiling and maintaining a conflict-free timeline for the EnMAP routine operations. This timeline must not violate any constraints on ground or on board the spacecraft (e. g. regarding power or onboard memory) and it will be regularly commanded to the spacecraft and communicated to ground stations.The EnMAP planning system is a fully automated system, which provides immediate feedback on any planning relevant information. It is based on GSOC's Reactive Planning framework, which consists of multiple parallel services exchanging information via dedicated messages. As it is the first implementation of Reactive Planning, there are various design decisions that need to be considered carefully in order to keep the generic part as useful as possible for later missions, which is an important aspect of the overall design and development process.The core planning component of the Reactive Planning framework and thus the EnMAP planning system is the so-called Master Processor for which we describe the various inputs and the respective algorithms used to adapt the model accordingly. This includes the modelling of activities, resources and constraints.
Pengembangan Sistem Informasi Presensi Mahasiswa Memanfaatkan Teknologi QR-Code

The attendance of students of the Information Technology Study Program, University of Muhammadiyah Purworejo is currently still used and managed manually. In a manual system like this, it is very possible for errors in managing attendance data and student cheating in falsifying attendance at lectures. In the attendance process at the Information Technology Study Program using a manual system is considered less effective and less efficient.From these problems, it is necessary to create a student attendance system using a Quick Response Code with a WiFi area limit to prevent Information Technology students from Muhamadiyah Purworejo University outside of lectures or being absent from being able to fill in attendance or entrust attendance to friends and with this system, it is hoped that the process attendance can be done effectively and efficiently.The results of student attendance at the Information Technology Study Program, University of Muhammadiyah Purworejo. Quick Response Code with Wifi area limits has the ability to prevent manipulation of student attendance data and can recap computerized attendance data.
Organization of Documentation in Ukraine during the Soviet Period

The article discusses issues surrounding the introduction of new forms of documents and the organization of document circulation in Ukraine during the Soviet period, revises the organization of office work and presents a selection of valuable documents. The authors also explore the organizational and scientific activities in the field of management, stipulated in regulatory enactments, and describe the creation of a network of public organizations, institutes and laboratories that dealt with issues of scientific organization of labor and reference activities. In the article, an analysis of the organization of office work and archival management through the evolution of regulatory framework is presented, highlighting the most important stages of the organization of documentation in the USSR. It is noted that, by the end of the 1980s, a holistic system of documentation support, which met at that time the requirements of Soviet business broadcasting and the standards of compiling official documents, had been formed.
On Education and Upbringing. New Trends of the XXI Century

Purpose. The modern educational system is fixated on the digitalization of learning, which seems to be an ideal innovative technology. We do not share this view, we believe that the main areas of public education policy should be the continuity and humanization of education, the judicious use of digital technologies, which allow to combine innovation with traditional educational experience accumulated over many generations. School education should keep pace with the times, based on the demands of society and to shape a humanistic worldview. This can be achieved through the experience of positive education. Methodology: general scientific, special, theoretical methods. Conclusions. The image of a graduate of a comprehensive secondary school becomes a guide for designing processes and conditions for obtaining educational results. Graduates should be able to think creatively, find non-standard solutions, take initiative, be competitive and in demand By Russian higher education organizations. In this regard, public education policy should take into account the positive experience that has been gained, making education continuous as well as motivating all stakeholders to achieve a qualitative end result. Comprehensive school requires transformation and involvement of students in socially significant processes aimed at achieving success and personal wellbeing. Scientific and practical significance. The article is aimed at forming the position of participants in educational and educational processes both on the part of customers — the state and consumers of educational services — students, and from educational — general education organizations of secondary general education and educational organizations of higher education.
Advanced Real-Time Hierarchical Task Network: Long-Term Behavior in Real-Time Games

HTN (Hierarchical Task Network) is a widespread technique in the game industry to achieve long-term behavior and smart intelligence in NPCs. However, in the more real-time games of recent years, a situation has emerged where the system is not functioning effectively. We understand the re-planning process is the fundamental problem of HTN in real-time games and propose a new method to solve this problem.
Learning Bayesian Networks from Ordinal Data

Bayesian networks are a powerful framework for studying the dependency structure of variables in a complex system. The problem of learning Bayesian networks is tightly associated with the given data type. Ordinal data, such as stages of cancer, rating scale survey questions, and letter grades for exams, are ubiquitous in applied research. However, existing solutions are mainly for continuous and nominal data. In this work, we propose an iterative score-and-search method - called the Ordinal Structural EM (OSEM) algorithm - for learning Bayesian networks from ordinal data. Unlike traditional approaches designed for nominal data, we explicitly respect the ordering amongst the categories. More precisely, we assume that the ordinal variables originate from marginally discretizing a set of Gaussian variables, whose structural dependence in the latent space follows a directed acyclic graph. Then, we adopt the Structural EM algorithm and derive closed-form scoring functions for efficient graph searching. Through simulation studies, we illustrate the superior performance of the OSEM algorithm compared to the alternatives and analyze various factors that may influence the learning accuracy. Finally, we demonstrate the practicality of our method with a real-world application on psychological survey data from 408 patients with co-morbid symptoms of obsessive-compulsive disorder and depression.
Art is not bioterrorism

Subsequent to 9/11, the consolidation of US governmental security forces has created a context of increased surveillance and control of citizens. Academia, often the last refuge for freedom of thought, research, and expression for scholars and artists, is by no means exempt from this encroachment. The three cases concern a scientist, an art collective—scientist team, and an artist, respectively. They exemplify the growing number of activist citizens getting into trouble with federal and institutional “security” forces, often for cultural and scientific work that is critical of corporate biotechnology, government control of human bodies, and restrictive intellectual property laws. The US government is using new tactics to censor work that was formerly protected under First Amendment civil liberties and academic freedom rights. Federal prosecutors have lodged charges of bioterrorism, security trespass, or patent and intellectual property law infringement against academic scientists and artists.
Bibliographic tools in digital environment – a new type of information product?

The convergence of two major products of library and information work, i. e. library exhibition and bibliographic tools, in the digital environment is examined. Does it mean that a new type of information product is about to appear in libraries?
TRADITIONAL TO ONLINE OVER NIGHT: HOSPITALITY STUDENT SATISFACTION DURING THE FIRST COVID-19 SEMESTER

TRADITIONAL TO ONLINE OVER NIGHT: HOSPITALITY STUDENT SATISFACTION DURING THE FIRST COVID-19 SEMESTER
Cross-Lingual Acoustic Modeling in Upper Sorbian – Preliminary Study

In this paper, we present a preliminary study for acoustic modeling in Upper Sorbian, where a model of German was used in cross-lingual transfer learning. At first, we define the grapheme and phoneme inventories and map the target phonemes from the most similar German source equivalents. Phonetically balanced sentences for the recording prompts were selected from a combination of general and domain-specific textual data. The speech corpora with a total duration of around 11 hours was collected in controlled recording sessions involving an equal number of females, males, and children.The baseline acoustic model was employed to force-align the speech corpora given the knowledge-based phoneme mappings. How well the mappings were, was evaluated by the phoneme confusions in free-phoneme recognition. The new derived data-driven model with a reduced phoneme set was included in the adaptation and evaluation along with the baseline acoustic model. The model adaptation performance was cross-validated with the “Leave One Group Out” strategy. We observed major improvements in phoneme error rates after adaptation for the knowledge-based and data-driven phoneme mappings. The study confirmed the feasibility of transfer learning for acoustic model adaptation in the case of Upper Sorbian, at the same time demonstrating practical usability with a small vocabulary speech recognition application (Smart Lamp).
Potential of Transforming Sodalite from Synthesis Kaolin with a Mild Condition of the Hydrothermal Method

The hydrothermal synthesis method is one of the successful methods for transforming kaolin into sodalite with various parameters considered. The variation of alkalinity source of 2-3 Molarity of sodium hydroxide and crystallization time (12-16 hours) was considered an important parameter that influences the formation of sodalite. It is reported in this research that the process of synthesizing sodalite to transform into an amorphous stage (Metakaolinization phase) began with beneficiation of kaolin to remove the impurities and calcination by 6500C for four hours. The synthesis was done through an aging process (400C, 24 hours), and the crystallization temperature was 1000C. The kaolin wascharacterized by XRD, FESEM, FTIR, PSA, TGA, followed with metakaolin by XRD, FESEM, FTIR, and the end-product by XRD, FESEM, FTIR, and PSA. The crystallinity percentage of sodalite slightly increased by increasing the molarity and crystallization time, but quartz remains in the end-product.
SOSIALISASI PENGGUNAAN APLIKASI PERPUSTAKAAN DIGITAL PADA SMP IT YAABUNAYYA FATHUL KHAER MAKASSAR: Digital Library Application Usage Training

The training activities carried out are expected to improve the quality of library services at partner schools. The goal to be achieved by the author is that each semester can carry out community service to these partners with different training materials. Especially for this semester the author held training on the use of digital library applications. This training is a competency for the academic community in utilizing information and communication technology in increasing reading interest for the academic community. The target of this service activity program is the entire academic community of SMP IT Yaabunayya Fathul Khaer in Makassar City with a total of 50 students, 10 teachers and 1 librarian. The method used is a lecture method, question and answer, and simulation. The results of this activity show: (1) participants (librarian staff) will have knowledge of book data processing, (2) training participants will have knowledge in the borrowing process and (3) training participants will get book information in the library.
Preregistration in diverse contexts: a preregistration template for the application of cognitive models.

In recent years, open science practices have become increasingly popular in psychology and related sciences. These practices aim to increase rigour and transparency in science as a potential respon...
The Effect of English British Council Site on Students’ English Vocabulary at Eight Grade SMPN 02 Bangkalan

Vocabulary is one of important aspect in learning English. For second language students, it is a new challenge to master it. Since, they have vocabulary of their own native language. They have to compare it and replace something new to their understanding. Some vocabularies are similar and some vocabularies are completely different. Therefore, an attractive medium is needed to make students interest to master vocabulary. English British Council Site is applied on this experiment. This research is quantitative pre- experimental research with one group pre-test post-test design. It is aimed to measure the effectiveness of using the English British Council site toward the students mastering vocabulary. Forty students are involved on this experiment. The result shows significant different of pre-test and post-test. It indicates the using of British Council Site is effective to be used for students’ second language to master the vocabulary.
Desenvolvimento da nova Biblioteca Digital da BBM-USP: Relato de Experiência

The Biblioteca Brasiliana Guita e Jose Mindlin is an organ of the Pro-Rectory of Culture and University Extension. As an academic entity of the University of Sao Paulo, it is an interdisciplinary center for information and documentation, research and scientific dissemination. With the purpose of preserving and providing unrestricted access to its collection, the strategy adopted was the development of a Brazilian digital library. This work presents an experience report of the development of the new platform for the BBM Digital Library. It presents a retrospective of the pilot project, the problems and successes during the course of the project. It reports the challenges faced and the solutions found for resuming digitization processes and the development of the Digital Library (BBM Digital). Finally, it presents the next steps, challenges and points to the need for strategic definitions for its institutional sustainability.
환경온도차이가 고강도 간헐적 운동 시 운동수행능력, 혈중 지질요인 및 자율신경계 변화에 미치는 영향

Purpose: The purpose of this study is to examine the effects of 8-weeks of high intensity interval training on exercise performance, blood lipid factors, and autonomic nervous system changes according to environmental temperature differences. Method: The subjects were healthy men living in city S. After fully describing the purpose and method of this study, participants (N=24) who voluntarily expressed their intention to participate in this study were selected. They were grouped into a normal temperature HIIT group (NHG) and a high temperature HIIT group (HHG). The temperature of NHG was set at 21.0±1.0℃ and HHG at0 4.0±1.0℃. In addition, the humidity in the exercise environment was set equally at 50.0±3.0%. Intensive interval training was applied in different environments for 8 weeks. Exercise performance (VO2max), blood lipids (TC, HDL-C, LDL-C, GLU, TG), and autonomic nervous system responses (HRmax, HRR 5,10,15min) were measured and used in this study. All statistics were analyzed via SPSS ver 24.0, and paired t-tests were used to verify the differences between before and after training. Repeated measure ANOVA was performed to examine the effects between groups and time periods. All statistical significance levels were set at p Results: The results of this study are as follows. 1) For blood lipids, LDL-C, GLU, and TG showed significant differences between training, significant effects between time periods, and significant differences between groups (p Conclusion: In conclusion, high intensity interval training can be expected to have a positive effect on blood lipids, and create more positive changes in a high temperature environment. There were no statistically significant differences in exercise ability or autonomic nervous system changes, but it showed a positive effect on average. It may be helpful to apply in more detailed and long term training.
A Case Study on Enneagram Personality Types, Interpersonal Relationships and Job Stress

This is a single case study using adaptive counseling approach on the type of Enneagram and post-employment experience of a client experiencing difficulties in interpersonal relationships and coping with job stress.The research participant was a 26-year-old young woman working N city who recognize the type of Enneagram and experience difficulties in interpersonal relationships and job stress.The study was conducted in a total of 20 sessions from December 7, 2020 to April 26, 2021.The research tool used was a K-type Enneagram personality test, interpersonal relationship, and job stress measurement tools.Thus, the research participant was able to understand herself and explore social life and interpersonal relationships through the Enneagram type.This study also examined the effects of positive resource using interpersonal and job stress testing tools before and after the adaptive consultation.Therefore, through adaptive counseling, the subject actively expressed things that she had not experienced before the counseling while proceeding with the process of 'understanding herself, telling about his daily experiences, informing her strengths, social support system, and designing future life'.These experiences provided daily vitality and pleasure and provided insight into self-inspiration and current life by looking at oneself separately from job stress.This study is intended to help client preparing to adapt to their jobs after employment find themselves.
Texture classification in aerial photographs using multiscale and multilayer complex networks

Texture classification using oriented complex networks considers the functional connections between topological elements and simulates the complex textures more accurately. In contrast to the classical spatial texture analysis, we offer a novel function of weights in complex networks and a classification method that takes into account the scaling and color of textures. For this, three complex networks represented R, G and B components are built, which provide invariance of color aerial photographs obtained at different times. Comparison of the classification results using the proposed multiscale complex networks and conventional texture analysis based on a statistical approach is given. Also we extended this approach on color aerial photographs using multilayer structure of complex network.
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback.

A promising approach to solving challenging long-horizon tasks has been to extract behavior priors (skills) by fitting generative models to large offline datasets of demonstrations. However, such generative models inherit the biases of the underlying data and result in poor and unusable skills when trained on imperfect demonstration data. To better align skill extraction with human intent we present Skill Preferences (SkiP), an algorithm that learns a model over human preferences and uses it to extract human-aligned skills from offline data. After extracting human-preferred skills, SkiP also utilizes human feedback to solve down-stream tasks with RL. We show that SkiP enables a simulated kitchen robot to solve complex multi-step manipulation tasks and substantially outperforms prior leading RL algorithms with human preferences as well as leading skill extraction algorithms without human preferences.
The Influence of <i>Self-Efficacy</i> Towards the Learners’ Reading Literacy Skills by Applying <i>Problem Based Learning</i> Model Assisted by Learner-Pocket Book

The Influence of Self-Efficacy toward the Learners' Reading Literacy Skills by Applying Problem Based Learning Model Assisted by Learner-Pocket Book This research is a quasi -experimental research.This research applied the quantitative method.The population consisted of all fourth graders of Public Primary School 02 Karangayau, in academic year 2018/2019.There were 60 participants grouped into two classes, IV A and IV B classes.The sample was done by non probability sampling through saturated sampling.The data collection was done by providing 2 research instruments.They were test and non-test instruments.The test instrument consisted of reading literacy skill while the non-test instrument was a self-efficacy questionnaire.It consisted of positive and negative statements.The data were tested in terms of their regressions.The analysis results showed that self-efficacy influenced significantly the learners' literacy reading skills.The regression equation is Y = 1.255X -24.427.It showed positive correlation with effective contribution 72.3%.The results recommended the teachers to design any learning process that could improve the learners' self-efficacy.It had purpose to improve the learners' literacy reading skills.
THE APPLICATION OF GROUP WORK IN CLASSROOM INTERACTIONS OF TEACHING READING COMPREHENSION STUDENTS AT JUNIOR HIGH SCHOOL

This study deals with the application of Group Work in teaching English.  The underlying objective of the study is to see whether teaching reading by using Group Work has significant difference from the students who do not apply it. In carrying out this study, the writer took 40 students of the second year of SMP from two classes as the sample of her study.  They were divided into two groups.  The first group is experimental group was taught by using group work in reading comprehension, while the second group is controlled group, the reading text was taught without group work. The instrument used were teacher made test based on the materials that had been taught.  These test used were administrated to find out the reliability, the computation showed that the reliability of the test was 1,14.  After the treatment, a post-test was applied. The results of the study shows that teaching reading comprehension by using group work is more significant than of without group work.