Reviewerly/exHarmony huggingface dataset:
Evaluasi dan Optimalisasi Instalasi Pengolahan Lumpur Tinja (IPLT) Talang Bakung Jambi

Jambi City has sewage treatment, namely Talang Bakung IPLT. The processing system in Talang Bakung IPL uses a pond system consisting of mud separator, anaerobic ponds, facultative ponds and maturation ponds and sludge drying tanks. This study aims to determine the performance and effectiveness of processing units in existing conditions and planning. The evaluation was carried out at each Talang Bakung installation unit (IPLT) on the performance of the processing unit and the processing quality of the inlet namely the mud separator unit to the maturation pond as the last processing unit under existing conditions (2017). Parameter checking in this study refers to LHK PERMEN No. 68 of 2016 concerning quality standards for domestic wastewater, namely pH, BOD, COD. TSS, Oil and fat, ammonia and Total Coliform. From the results of research, discussion and analysis, and referring to the research objectives, it can be concluded that: (1) there is still unused capacity (iddle capacity), (2) the design of Talang Bakung IPLT processing units is in accordance with design criteria, ( 3) the effectiveness of decreasing BOD, COD and TSS in each processing unit and overall &gt; 60%, (4) the concentration of pH, oil and fat, ammonia and total coliform decreased &gt; 80% and already below the quality standard.
Design of Sports Training Information Platform Based on Virtual Reality

With the rapid progress of science and technology, especially computer technology and sensor technology, virtual reality technology has gradually entered people’s vision and is a new technology that has attracted people’s attention in recent years. At present, the application of virtual reality is gradually widespread, involving entertainment, education, military and other fields. In recent years, as the country attaches more importance to sports, the requirements of sports training are becoming higher. In order to continuously improve the effect of physical training, physical training is gradually combined with virtual reality technology, and it is gradually trying to realize the design of the information platform of physical training on its basis. However, there are many problems in the design of sports training information platform. How to realize the effective application of virtual reality in the design of sports training information platform and promote the realization of platform design as soon as possible has become the focus of people’s attention. Based on virtual reality and canny edge detection algorithm, this paper proposes a specific way of designing sports training information platform. On the one hand, it speeds up the construction of the information platform, and on the other hand, it provides a certain theoretical basis for future research on relevant aspects.
A hybrid constructive algorithm incorporating teaching-learning based optimization for neural network training

In neural networks, simultaneous determination of the optimum structure and weights is a challenge. This paper proposes a combination of teaching-learning based optimization (TLBO) algorithm and a constructive algorithm (CA) to cope with the challenge. In literature, TLBO is used to choose proper weights, while CA is adopted to construct different structures in order to select the proper one. In this study, the basic TLBO algorithm along with an improved version of this algorithm for network weights selection are utilized. Meanwhile, as a constructive algorithm, a novel modification to multiple operations, using statistical tests (MOST), is applied and tested to choose the proper structure. The proposed combinatorial algorithms are applied to ten classification problems and two-time-series prediction problems, as the benchmark. The results are evaluated based on training and testing error, network complexity and mean-square error. The experimental results illustrate that the proposed hybrid method of the modified MOST constructive algorithm and the improved TLBO (MCO-ITLBO) algorithm outperform the others; moreover, they have been proven by Wilcoxon statistical tests as well. The proposed method demonstrates less average error with less complexity in the network structure.
A Square-root Version Distributed Nonlinear Filter Based on Information Consensus

This paper studies the problem of distributed nonlinear state estimation in sensor networks. To solve the problems of nonlinearity in system model, redundancy caused by consensus iterations, and naivety resulting from limited field of view (FOV) of sensors, a novel square-root version distributed nonlinear filter based on information consensus (SRDICF) is proposed. It is developed based on the information weighted consensus protocol with embedded square-root decomposition of the information matrices. The cubature rule is chosen to approximate the Gaussian weighted integral involved in the nonlinear Bayesian filtering paradigm. Then different weights are assigned to the local prior and measurement information to initialize the consensus terms. Finally, the global estimate of each node is acquired with sufficient consensus iterations. The experimental results illustrate that the SRDICF achieves higher estimation accuracy, faster convergence rate and better numerical stability in the existence of na&#x00EF;ve nodes and information redundancy. In addition, the SRDICF attains comparable estimation accuracy to the centralized scheme with fewer consensus iterations.
Foreign Language Proficiency Assessment Of Master’s Degree Students At Technical Universities

The purpose of the study is to investigate the monitoring and assessment system of foreign language proficiency at Master’s degree level. Modern learning environment focuses on competence-based approach to training a professional. It leads to revising and modernizing the established monitoring and evaluation components of assessment system. The article deals with assessment tools of the level of foreign language proficiency resulted from the aims of teaching Master’s degree students at a technical university. The aim of the study is to analyze and select the assessment tools, to work out criteria for assessing the development of general professional competence of Master’s students by means of “Foreign Language” Course. The paper summarizes the authors’ experience in the development of the specified competence and presents traditional tools of assessment with novelty elements. Some examples of their indicators and assessment criteria based on the competence approach are described. According to the results, valid and effective criteria developed by the authors contribute to a higher level of general professional competence of Master’s degree students.
Clinronomy as a systematic scientific approach to cultural preservation Heritage: its place in the educational system

The author offers to review the Science of Klironomy as a systematic approach to the conservation of cultural heritage and a new perspective on the educational system in the field of restoration.
The Analysis of Recount Text Written by Expert and Students

Retelling the past experiences in the form of recount text is one of the competencies that should be mastered by the students in verbal or written form. Based on the preliminary observation in SMAN 4 Cimahi, the 10th grade students have no difficulties in retelling their past experiences orally. To overcome that problem, this research aims to investigate some pedagogical implication needed in enhancing students’ writing ability in retelling past experiences in form of recount text. This research belongs to qualitative descriptive using the document analysis as a technique to collect the data. The expert document of personal recount text was taken from the electronic book of English for 10th grade of senior high school published by the Ministry of Education and Culture. The finding showed that the expert’s text had genre, register, generic structure, and language features that were in line with the general characteristics of recount text. However, the analysis of student’s text showed that the students found difficulties in delivering and organizing ideas in every stage of Recount text, the content of writing was not totally fulfiiled the linguistic features required. Moreover vocabularies were still great boundaries in the writing. The pedagogical implication proposed is that using concept map. Keywords: Expert Text, Genre Analysis, Recount Text
Research on New Energy Power Forecast and Meteorological Disaster Warning Platform

With the large-scale grid connected operation of new energy power plants, the safe operation of grid and new energy power plants has been faced with unprecedented challenges, especially the influence of meteorological conditions. Due to the inherent volatility of new energy, accurate prediction of generation power can effectively reduce the impact on the electricity grid system. In order to improve the prediction accuracy, a dynamic meteorological element correction method considering multiple meteorological elements is introduced, and a centralized power forecasting platform is established. At the same time, due to the frequent occurrence of extreme weather events in recent years, such as wind fan icing, lightning gale, hail, mountain torrents and so on, all of them have brought challenges to the safe operation of new energy power plants, so a fan icing warning model has been developed. Based on the Internet automatic published information plantform of meteorological disaster has established which greatly reduced the loss of power plants caused by the extreme weather.
Sentiment Analysis of Social Media Micro Blogs using Power Links and Genetic Algorithms

In the current years, social media became one of the most important sources of data for different data analytic purposes.One of the most important issues is how to map different trends in social media and define the relation between different groups based on their sentiment or interests.In this paper, a two-phase approach is used for clustering a set of blogs.At the first phase, the approach builds a lexicon that provides the polarity of each word.In the second phase, the approach clusters the blogs bases on the polarity features and the Power Link features.The output of the second phase is used as the input of the first phase to get an improved lexicon.This process will continue in a loop between phase one and phase 2 till a stable set of clusters is gotten.The approach aims to develop a non-supervised cluster agent that can correctly cluster micro blogs and define different interests of different groups of people.The results of the approach are expressed in terms of precision, recall and F-measure.
On Big Data: How should we make sense of them?

The topic of Big Data is today extensively discussed, not only on the technical ground. This also depends on the fact that Big Data are frequently presented as allowing an epistemological paradigm shift in scientific research, which would be able to supersede the traditional hypothesis-driven method. In this piece, I critically scrutinize two key claims that are usually associated with this approach, namely, the fact that data speak for themselves, deflating the role of theories and models, and the primacy of correlation over causation. My intention is both to acknowledge the value of Big Data analytics as innovative heuristics, and to provide a balanced account of what could be expected and what not from it.
Reliability profile of an information source: The most basic version

The aim of this paper is an attempt at analyses and reconciliation of some prima facie confronted theories of reliability in the context of formal theories of coherence. Formal coherentists attempted to show that there is an epistemologically interesting connection between coherence of an information set and reliability of information sources. Amongst these authors there are divisions and differences concerning the nature of coherence, as well as the nature of reliability. On the one side, we have before us probabilistic coherentists who support a statistical understanding of reliability. On the other side we have supporters of explanatory coherence who see reliability as a dispostition. There are two goals that we shall attempt to achieve in this paper: to present and explain some ideas of reliability, without going into fine detailes and depths of theories in which they were formulated and to show that those ideas about reliability are not that irreconcilable as they might appear, but that they together can form something that we shall call ?reliability profile of an information source?, ?the most basic version?, or shorter: RPISbasic.
School Mapping using Geographic Information System

Enormous amount of data generated daily with the growing digital world. The geospatial data is also among this, which can be used for the betterment of location based services to the society. Regardless of the substantial resources, there has not been a significant growth in the quality of education in the schools particularly in rural areas of Maharashtra. There is a need to create a community driven GIS based portal which will help to contribute as well as gain information about the schools in Maharashtra. This will provide the school data as well as correlations between different demographic aspects including performance of the aspects. Apart from this, a platform is required for the community to contribute in evaluations and validation of school data through crowd sourcing. An attempt has been made to address some of the gaps in the administration and to gain insights about the schools in Maharashtra through GIS. School-GIS combine school information with GIS application and is open to the public to assist about the quality of schools. Various information query and display methods are provided in the system, including reviewing, rating, dynamic query and developing choropleth maps for analysis and decision-making on spatial educational problems for a given locality.
Application Research of Artificial Intelligence in the Fifth Generation Mobile Communication Technology

The fifth generation (5G) mobile communication technology is in the tide of artificial intelligence. The combination of the two technologies is considered to be one of the mainstream directions of the new generation mobile communication technology. The application of deep learning algorithm in all levels of 5G mobile communication system is still in the preliminary exploratory stage. This paper studies the AI’s application status in the key technology, infrastructure and operation of 5G, analyses the problems and challenges faced by AI in the application of 5G, and puts forward new application ideas.
Stereo Matching and Image Inpainting Based on Binocular Camera

Stereo matching is one of the key technologies in the field of computer vision. The depth map obtained by stereo matching contains the three-dimensional information of the scene. The use of depth map is of great significance in the three-dimensional reconstruction of the map and the autonomous navigation of the robot. Aiming at the accuracy and speed of stereo matching, this paper applies a semi-global stereo matching method to match corrected left and right perspective images. Because there are noise points and holes in the matched disparity map, which affect the image quality, a sample block filling method which combines mean filtering and point-by-point scanning is proposed to repair the image. Then a gradient priority selection mechanism is proposed to maintain the edge structure of the object in the process of restoration. Experimental results show that the proposed method is good for the restoration of holes and noises in disparity maps, and the processing speed is improved by about 30% compared with the traditional Criminisi algorithm.
New Media, Free Expression, and the Offences Against the State Acts

New media facilitates communication and creates a common, lived experience. It also carries the potential for great harm on an individual and societal scale. Posting integrates information and emotion, with study after study finding that fear and anger transfer most readily online. Isolation follows, with insular groups forming. The result is an increasing bifurcation of society. Scholars also write about rising levels of depression and suicide that stem from online dependence and replacing analogical experience with digital interaction, as well as escalating levels of anxiety that are rooted in the validation expectation of the ‘like’ function. These changes generate instability and contribute to a volatile social environment. Significant political risks also accompany this novel genre. Hostile actors can use social media platforms to deepen political schisms, to promote certain candidates, and, as demonstrated by the recent Cambridge Analytica debacle, to swing elections. Extremist groups and terrorist organisations can use online interactions to build sympathetic audiences and to recruit adherents. Since 1939, the Offences Against the State Act (OAS) has served as the primary vehicle for confronting political violence and challenges to state authority. How effective is it in light of new media? The challenges are legion. Terrorist recruitment is just the tip of the iceberg. Social networking sites allow for targeted and global fundraising, international direction and control, anonymous power structures, and access to expertise. These platforms create spaces within which extreme ideologies can prosper, targeting individuals likely to be sympathetic to the cause, 24 hours a day, seven days a week, ad infinitum. They offer an alternative reality, subject to factual manipulation and direction—a problem exacerbated by the risk of so-called deep fakes: autonomously-generated content that makes it appear that people acted, or that certain circumstances occurred, which never did. In November 2019 the Irish Government adopted a new regulation targeting social media. The measure focuses on political advertising and to ensure that voters have access to accurate information. It does not address the myriad further risks. This chapter, accordingly, focuses on ways in which the Offences Against the State Act (OAS) and related laws have historically treated free expression as a prelude to understanding how and whether the existing provisions are adequate for challenges from new media.
Understanding digital pathology performance: an eye tracking study

Pathology in the UK is on the verge of transformation from analogue to digital practice through the development of digital pathology (DP). Advances in technology has allowed for this change to occur through the use of high-throughput slide scanners to obtain whole histopathology glass slides onto computer workstations rather than the use of a conventional light microscope (LM). Previous studies have shown that the use of digital imaging to view histopathology slides has proven to be of benefit to pathology departments. It allows pathologists to analyse samples remote from the laboratory, making sharing of the slides between pathologists more straight-forward, and also enables expert review out of hours. With the ability to electronically transfer slides from the laboratory to the reporting pathologist, it may provide solutions for local shortages of pathologists across NHS trusts in the UK. However, a number of researchers argue that the costs of implementing digital pathology may outweigh its advantages. Moreover, images produced by DP systems are often of inferior resolution when compared to conventional light microscopy. The lack of literature on this subject limits the adoption of this new technology by laboratories across the country. This multi-centre study aims to analyse how the study pathologists examine DP images of different pathology modalities by using eye-tracking technology, thus using data on their reading and interpretation technique to improve performance and contribute to the adoption of DP across the UK.
THE MAIN STAGES OF THE CHANGING OF THE CONCEPT OF NATIONAL IDENTITY IN THE LITERATURE OF IRELAND OF THE XX CENTURY

Конопляник Л. М
Hubungan Kecerdasan Emosi dengan Anxiety Reduction pada Mahasiswa Fakultas Farmasi Institut Kesehatan Helvetia

This study aims to determine the relationship of emotional intelligence with anxiety reduction in students of the Faculty of Pharmacy, Institut Kesehatan Helvetia Medan 2016/2017. This study used quantitative approach. Measuring instruments used in the form of emotional intelligence scales are based on the theory of emotional intelligence by Goleman who has 30 items and anxiety reduction scales that are based on Conroy's theory have 30 items. The samples of this study were 80 students of the Faculty of Pharmacy, Institut Kesehatan Helvetia. The data analysis method used in this study is the Pearson Product Moment correlation with the correlation r = -0,649, with a significant p = 0,000 means (p &lt;0.01). The results of the research showed that there was negative but significant correlation between emotional intelligence and student anxiety reduction. This shows that the higher emotional intelligence possessed by students, the easier it is to anxiety reduction, and the lower the emotional intelligence possessed by students, the more difficult it is to anxiety reduction.
Image Magnification Based on Bicubic Approximation with Edge as Constraint

Image magnification can be reduced to construct an approximation surface with data points in the image while keeping image details and edge features. In this paper, a new image magnification method is proposed by constructing piecewise bicubic polynomial surfaces constrained by edge features. The main innovation includes three parts. First, on the small adjacent area of each pixel, the new method constructs a quadratic polynomial sampling patch to approximate pixels on the small neighborhood with edge features as constraints. All quadric polynomial sampling patches are weighted to generate piecewise whole bicubic polynomial sampling surface. Second, a technique for calculating the error image is proposed: the error image is used to construct a correction surface to improve the accuracy and visual effect of the magnified image. Finally, in order to improve the accuracy of the approximation surface, a technology of balancing polynomial coefficients is put forward. Experimental results show that, compared with other methods, the proposed method makes better use of the local feature information of the image, which not only improves the PSNR/SSIM numerical accuracy of the magnified image but also improves the visual effect of the magnified image.
The balance between teaching and education in teaching profession

Kultúra és Közösség on this kind of knowledge.According to my hypothesis, the role of the pedagogue is thus more and more limited to the transmission of factual knowledge and through this practice, personal, and social education is pushed into the background.During my research I made interviews with fi fteen pedagogues, who teach in upper primary classes.Th ey