Reviewerly/exHarmony huggingface dataset:
Dual Education System

As a result of the reforms being carried out in our society, great changes are taking place in the system of vocational education.Taking into account the development prospects and priorities of the economy, modern techniques and technological trends, the current problem is to replace the leading personnel who can manage the activities of a professional educational institution to radically improve the quality of training required for industries and sectors of the economy.
Best Practices for FAIR Research Software - ESIP 2021 Summer Meeting

Research software is a significant and vital component of research. It is integral to all stages of research from pre- to post- processing and analysis and modeling. Recognizing software roles in reproducibility and the need for recognition for those who develop software has energized conversations on what FAIR (Findable, Accessible, Interoperable, Reusable) means for research software. The FAIR For Research Software Working Group (FAIR4RS WG) is leading the research software community in the crucial step of agreeing how to apply the FAIR principles to research software by mid-2021, and is co-led by the Research Software Alliance (ReSA), Research Data Alliance (RDA) and FORCE11.This workshop aims to:- present updates on application of the FAIR principles to research software to advance community knowledge- provide opportunities to become involved in this evolving work, enabling participants to become involved in policy development- engage participants in identifying examples of best practice in earth sciences in developing FAIR/sustainable software for research- identify areas for improvement- enable participants to meet like-minded colleagues.This talk was presented at the 2021 Earth Science Information Partners (ESIP) Summer Meeting held virtually in July 2021.
Model-Agnostic Learning to Meta-Learn

In this paper, we propose a learning algorithm that enables a model to quickly exploit commonalities among related tasks from an unseen task distribution, before quickly adapting to specific tasks from that same distribution. We investigate how learning with different task distributions can first improve adaptability by meta-finetuning on related tasks before improving goal task generalization with finetuning. Synthetic regression experiments validate the intuition that learning to meta-learn improves adaptability and consecutively generalization. Experiments on more complex image classification, continual regression, and reinforcement learning tasks demonstrate that learning to meta-learn generally improves task-specific adaptation. The methodology, setup, and hypotheses in this proposal were positively evaluated by peer review before conclusive experiments were carried out.
Research on Collaborative Management of Integrated Equipment in Distributed Cloud Data Centre

The paper designs the construction ideas and construction schemes of a cross-data centre integrated collaborative distributed cloud management platform. The integrated equipment management platform designed in this article realizes the unified management of the PCSERVER virtual resource pool, minicomputer virtualized resource pool, and storage virtualized resource pool of the information centre to achieve cross-data centre resource coordination and distributed scheduling, and realize enterprise information Group operation of the construction of chemistry. The platform realizes the integrated management, standardized supply and automatic operation of a variety of computer equipment such as mainframe, storage, network, middleware, database, application software, and completes the integrated intelligent management and control from the underlying hardware to the upper-level business applications, and is informatization for the enterprise Lean management and standardized construction of construction provide strong support.
Self-Praise, Other-Assault:

Politicians in Nigeria and across the world use political campaign songs to create awareness about their personalities, intentions, and programme in order to convince the electorate to fully support their candidacy. Existing scholarly works on politics and political issues have examined aspects of political speeches, electoral discourses, media reportage of elections, electoral violence in Nigeria, among others. There is, however, a dearth of work on the use of campaign songs to Self-praise and Other-assault among political rivals. This study, therefore, examines political campaign songs in southwestern Nigeria with a view to identifying the representations in the campaign songs. For data, the YouTube Channel was visited in order to retrieve the transcript of political campaign jingles used during the 2011, 2015 and 2019 general elections in Nigeria. The selected period witnessed numerous assaulting campaign jingles in the political history of Nigeria. The data were subjected to discourse analysis, guided by the van Dijk’s ideological square model of critical discourse analysis. The identified representations are both positive and negative – Self as messiah, anointed, superior, symbol of success; and Other as invalid, criminal-minded, poverty- destined, symbol of hunger, prodigal, and enemy. The representations confirm our argument that Nigerian politicians, and others like them, go to any extent to praise themselves and denigrate their political opponents to the electorate because they are mindful of doing whatever it takes to get to power at all costs. The identified structure of verbal assault in political campaign jingles creates awareness on the intention of politicians in denigrating their political rivals and applauding Self. Current kind of political campaign jingles contributes to electoral violence in Nigeria.
Efficient analysis of entangled photons and single photons

Efficient analysis of the quantum states of photons are essential for photonic quantum technologies. In the first part, we report the experimental demonstration of direct and efficient verification of entanglement between two multimode-multiphoton systems (one photon in three modes and two photons in three modes) using just two sets of classical correlation tables with and without a discrete Fourier transformation of the optical modes, clearly demonstrating a dramatic reduction in the resources required for entanglement verification. In the second part, we report our experimental demonstration of adaptive quantum state estimation for quantum states of photons changing in time.
Phase estimation of definite photon number states by using quantum circuits

We propose a method to map the conventional optical interferometry setup into quantum circuits. The unknown phase shift inside a Mach-Zehnder interferometer in the presence of photon loss is estimated by simulating the quantum circuits. For this aim, we use the Bayesian approach in which the likelihood functions are needed, and they are obtained by simulating the appropriate quantum circuits. The precision of four different definite photon-number states of light, which all possess six photons, is compared. The measurement scheme that we have considered is counting the number of photons detected after the final beam splitter of the interferometer, and photon loss is modeled by using fictitious beam splitters in the arms of the interferometer. Our results indicate that three of the four definite photon-number states considered can have better precision than the standard interferometry limit whenever the photon loss rate is in a specific range. In addition, the Fisher information for the four definite photon-number states in the setup is also estimated to check the optimality of the chosen measurement scheme.
Framework for Human Activity Recognition

Human Activity Recognition (HAR) is a critical component in many applications, including health tracking and human survey systems. It is also a hot research subject in health care and smart homes. Also, Smartphones became an integral part in everyone’s life. The majority of people use it to search for information, watch movies, play games, and connect with their social networks, but there have been many useful studies on smartphones. Smart phones come with a range of sensors built in, including an accelerometer, gyroscope, GPS, compass sensor, and barometer. Using these sensors, a HAR device can be built to capture the user's condition. We can reliably detect the user's behaviour by implementing machine learning techniques into the system. The proposed work uses the LSTM algorithm to estimate human motion movement using raw sensor readings from mobile sensors in our smartphone as inputs.  With minimal training data and usable memory in smart phones, the proposed work recognises the user's behaviour. The user's behaviours, such as walking, running, lying down, sitting, and standing, can all be observed
Learner Acceptance and Student Experience of Virtual Reality Usage in Biology learning: A Meta-analysis

Virtual Reality (VR) technology has become a popular interactive learning medium in the past decade. In sciencelearning, VR has been used to help the learning process in high school. This report presents strong and responsivesurvey results on the satisfaction level and experience of using VR technology in biology learning in high school.With PRISMA guidelines, we analyze the research results on VR use in international databases, namely SAGE,Emerald, Wiley, Springer, Taylor &Francis, ScienceDirect, BMC Medical Education and Elsevier. A total of 13studies were selected for final analysis. The main inclusion criteria are studies that report satisfaction levels anduser experience at the high school level. This study shows that VR provides positive feedback, where VR becomesa valuable tool in the process of biological learning and shows substantial opportunities and has hands-onexperiences that are not possible in the real world. This literature review is important to highlight more researchneeds in a virtual VR-based design learning environment.
ENGLISH TEACHERS’ MISCONCEPTION ABOUT THE APPLICATION OF GENRE BASED APPROACH IN THE TEACHING OF ENGLISH WITHIN THE K-13 CURRICULUM OF INDONESIA

Teacher is key variable of in the conception of teaching. His comprehensive knowledge and skills, governs the ways of the teaching implementation. Teachers’ misconception of what to teach and of approach to apply can be a determinant factor for the failure of the teaching and this is true to the teaching of English. The K-13 curriculum, requires the English teachers to teach English by taking genre as unitizing of lesson topics and as the base approach. In line with the teaching conception, the English teachers’ misconception is also regarded as determinant factor of failure in teaching English. To find out if the teaching of English based genre is implemented properly can be done by researching the English teachers’ misconception. Sixt English teachers’ classroom interaction were observed and took the transcript of the interaction as data. The data were analysed by applying the data analysis model proposed by Bogdan and Biddle. The results shows that there is a misconception among the English teachers about the nature of genre and the nature of genre based approach. This misconception is applied to implement the teaching of English and the misconception is reflected in the KD3 and KD4 formulation and in the activities organization which is very far away from the concept of the genre and the approach. Teaching English with genre based approach is not yet implemented properly and the improper implementation is caused by the misconception among the English teachers. Keywords: misconception, genre, approach, teaching English
Spectral Probability Density for Broadband Seismic Ambient Noise Level

The time-series approach is commonly utilized to get to the estimation of the likelihood thickness work of control ghostly densities (PDF PSD) of waveform information. This paper is concerned with the introduction of the evaluation of waveform commotion to degree the likelihood thickness work (PDF) be done inside, we utilized the metadata from a stock, a parser occurrence of DNP (Denpasar, Bali, Indonesia), IGBI (Ingas, Bali, Indonesia), and PLAI (Plampang, NTB, Indonesia) from BMKG IA-Networks and computations are based on the schedule utilized by McNamara Demonstrate. The point of this paper to characterize the current and past execution of the stations and recognizing the data on clamor levels at BMKG IA-Networks Station. The result of this paper shows the consistency of the unearthly is displayed the DNP, IGBI, and PLAI organize to confirm the quality of information conjointly acts as a test execution broadband arrange to the time taken by the broadband organize within the field and examination the Lombok earthquake in 2018.
Shift Strategic Algorithm for Intranet Over Cloud

Intranet and intranetwares have become a central junction/platform for implementing the organization’s specific work culture. In order to ensure smooth and effective communication, computing and collaboration among employees, intranets play an important role. For vertical and horizontal management, intranetwares are used for directing, reporting, collaborating, socializing, communicating and meeting or discussing the professional and social issues. Today, cloud-based computing, communication and collaboration have created new frontiers and emerging paradigms towards re-engineering of work cultures in the organizations. In order to enhance performance with extended features, next-generation computing and communication need migration of intranets. As a primary observation, ‘haves and have not’ are serious issues in on-premise intranet versus intranet over cloud. The paper answers the research questions as to how an alternative technology strategy or pathway can be explored for enhancing the performance and extending the features of educational intranets, and how an on-premise intranet can be shifted/migrated over cloud platforms with enhanced performance and extended/add-on features. Upon analysis of collected facts, a clear need for performance enhancement was observed with add-on features over intranets. The study investigates and analyzes the issues and challenges, i.e., features and performances of the current state-of-the-art of the intranets in general and on-premise intranet of Arba Minch University (AMU) in specific. Finally, an intranet shift/ migration strategic algorithm over hybrid cloud was designed and developed using SaaS (i.e., AMU CloudNet). The interact intranet was used for designing the functional prototype and demonstrated that computing, communication and collaboration services can be enhanced anytime, anywhere with boundaryless access.
Implementation of the Social Component of Higher Education: Bottom-up Approach

Pedagogical strategies for the implementation of the social content of higher education should be exercised through the application of the bottom-up approach. The bottom-up approach is aimed at ensuring proper development of the student’s personality. This approach is based on the subject-specific (academic achievements) and generic (leadership, management skills and focus on personal and professional development) competencies. The purpose of this study was to investigate the range of tools as well as the effectiveness of the bottom-up approach to the implementation of the social component of higher education through perspective development and the emphasis on students’ leadership and management skills. The study is of an empirical nature and the research component is based on the formative experimental methodology. Fifteen students of the Faculty of Primary Education participated in the experimental part of the study. They were involved in the specific bottom-up approach to educational environment organization and were evaluated accordingly by a jury. The two-year implementation period of the bottom-up approach to the implementation of the social content of higher education took place through customized projects of personal and professional development. The average socialization readiness level within the group was 78.2 (out of 100 max.), with 13.3% of students showing an average socialization readiness level, and 86.7% of students achieving a good level. The results confirmed the effectiveness of the principal notions of the study. The task of adapting the content of higher education in order to achieve a positive momentum of students’ socialization readiness was successfully completed. The most promising approach for future research is finding out the advisability and effectiveness of expanding the range of participants of the projects of personal and professional self-development and leadership with the preservation of the essence and identified values of the bottom-up approach.
Policy Document on GPA Computation, CGPA Computation, Transfer of Credit and Shifting of Academic Programme in Higher Quality Accredited Institutions

This Policy Document surveys and assesses the scholarly presentation of the understudies by methods for target measure that mirrors their scholastic accomplishment on a trimester premise (GPA) and nonstop premise (CGPA). The Policy Document and strategies plan to characterize the methodology in ascertaining the evaluation point normal (GPA) and total point normal (CGPA) of understudy. The Policy Document and methodology apply to all understudies of the University, both acknowledged as new understudy or student from another school. This Policy Document additionally guarantees that understudies continue to fitting system and progress in like manner. Thus, the college enables understudy to change their scholarly program inside the school or to another school. This Policy Document and techniques plan to give rules to understudies who wish to change their scholarly program either inside the school or to another school.
On How Religions Could Accidentally Incite Lies and Violence: Folktales As a Cultural Transmitter

This research employs the Bayesian network modeling approach, and the Markov chain Monte Carlo technique, to learn about the role of lies and violence in teachings of major religions, using a unique data-set extracted from long-standing Vietnamese folktales. The results indicate that, although lying and violent acts augur negative consequences for those who commit them, their associations with core religious values diverge in the final outcome for the folktale characters. Lying that serves a religious mission of either Confucianism or Taoism (but not Buddhism) brings a positive outcome to a character. A violent act committed to serving Buddhist missions results in a happy ending for the committer. What is highlighted here is a glaring double standard in the interpretation and practice of the three teachings: the very virtuous outcomes being preached, whether that be compassion and meditation in Buddhism, societal order in Confucianism, or natural harmony in Taoism, appear to accommodate two universal vices — violence in Buddhism and lying in the latter two. These findings contribute to a host of studies aimed at making sense of contradictory human behaviors, adding the role of religious teachings in addition to cognition in belief maintenance and motivated reasoning in discounting counterargument.
The Construction and Application of an English-Chinese Parallel Corpus of Hydrogen Energy

This paper describes the construction and application of the first English-Chinese Parallel Corpus of Hydrogen Energy (PCOHE) in China, including design framework, collecting and processing of corpus materials, and its applications.Thepaper adopts statistical analysis with the help of corpussoftware to portray the linguistic characteristics of the hydrogen energy texts and study the translation strategy of the translated texts, which is expected to improve the efficiency and accuracy of translation. Although PCOHE is intended for translation studies of hydrogen energy texts, it can also be applied to such areas as the learning of hydrogen energy and machine translation.
MORANPLOT: Stata module to produce Moran scatter plots

moranplot draws Moran scatterplots. Although it is currently possible to draw Moran scatterplots using the spatlsa command, but the graphics are not pretty. The scatterplots has an ugly black background and cannot be further edited. It cannot be published in academic papers. To solve this problem, we developed the moranplot command. This command can draw Moran scatterplots of multiple variables simultaneously, graphics are standard and pretty. In addition, using grss command solves the problem that the current picture will automatically cover the previous picture in the drawing process of Stata.
Automated System for Identification of Moving Object Using Dip

This project deals with the tracking and following of a single object in a sequence of frames and the velocity of the object is determined.Algorithms are developed for improving the image quality, segmentation, feature extraction and for deterring the velocity.Segmentation is performed to detect the object after reducing the noise from that scene.The object is tracked by plotting a rectangular bounding box around it in each frame.The velocity of the object is determined by calculating the distance that the object moved in a sequence of frames with respect to the frame rate that the video is recorded.The algorithms developed can also be used for other applications (real-time, object classification, etc.).In this project, we use an inbuilt AVI file and then we show it after decompress it with the help of VIRTUALDUB1.9.10 software.After that, we apply all the above algorithms for tracking the object.
Design-build of photovoltaic panel data logger pressure

The increasing scarcity of fossil fuel sources and the increasing demand for energy encourages the search for alternative energy sources.One of the alternative energy sources that is suitable for the equator is solar energy. Indonesia is located on equator, therefore the use of solar energy is suitable.One of the most widely utilized solar energy technologies in Indonesia is the photovoltaic (PV) system.The output of PV is highly dependent on environmental conditions, especially the sun's intensity and temperature.Other factors affecting PV output are shading and dust (soiling).The research aims to design a PV panel data logger. Data output of PV such as output voltage and current of PV, as well as environmental data (sun intensity and ambient temperature) are read and record in real-time.The results of measurement from the data logger will be compared with conventional measurement.PV output data, output voltage and current, and sunlight intensity were compared with measurements using the avometer. in addition, temperature data of data logger is compared with thermocouple measurement.1 kOhm load resistor is connected directly to PV. The result shows that the logger and manual data measurements are insignificantly different. Manual measurements are performed hourly, from 09.00 - 16.00 hours. The maximum differences for voltage, PV output current, pyranometer voltage, and ambient temperature are 0.89 V, 0.0007 A, 0.00014 V, and 0.25oC, respectively.