Reviewerly/exHarmony huggingface dataset:
On the Selection of the LN Client Implementation Parameters

The Lightning Network (LN) is a payment network deployed on top of Bitcoin. In the LN, the payer and the payee do not need to have an open direct channel to transact: they can transact through channels by means of other users of the network, that act as intermediaries for the payments. The parameters of the contracts being used in these multihop payments determine the level of security offered, but also the usefulness of the LN as a payment network. In this paper, we evaluate the impact of tuning the parameters of the contracts for the security and performance of the payment network, and provide recommendations on the values for those parameters, taking into account the trade-off between network utility and security.
PENINGKATAN MINAT BACA MASYARAKAT MELALUI PEMBANGUNAN PERPUSDES SEBAGAI OBJEK WISATA EDUKASI BERBASIS KEARIFAN LOKAL DI DESA MAPPER, KABUPATEN PAMEKASAN

PERPUSDes Mapper Village is the only village library in Pamekasan Regency. This library is managed by village youths who have enthusiasm in efforts to increase reading interest in the Pamekasan Regency community in general and the Mepper Village community in particular. Over time, PERPUSDes Mapper Village began to be known by the wider community, but library management has not been optimal. Community service activities were initiated by STIE Bakti Bangsa students through the Village Development Holistic Program with the aim of increasing public interest in reading. Several activities and empowerment programs for the Mapper Village PERPUSDes manager were provided so that the library could develop and could help increase public interest in reading. The results of this community service show that with the availability of reading media, such as the increasing number of reading books, a set of computers, the improvement of reading rooms, and the procurement of spot selfies at several points around the library, has been proven to increase the number of visits at the Mapper Village PERPUSDes.
Automatic Power-up Items Placement on Shooter Game using Convolutional Neural Network

- A shooter game is a popular game genre with various components. To make a shooter game more attractive, some power-ups items can support players to achieve their goals. Power-ups items provide more power to players, some of which include ammo, extra lives, and invulnerability. The location of power-ups items should be in a special place so that it neither too easy to find nor too difficult to find. Item placement could be done manually by a human or a technical artist. It will need a relatively long time and high cost. In this paper, we try to mimic technical artist vision when placing an item. Visual images have been collected by scanning spatially the forest terrain by using a virtual camera on top. Each image data comply with the item placement rules according to the Tomb Raider and Uncharted 4 games. Convolutional Neural Network (CNN) is used to find out which images can be occupied by power-up items or not. From several experimental scenarios, the use of the Global Average Pooling layer is proven to produce a model that is not overfitting. The best CNN models are developed and got an accuracy of 90.5% with an architecture that includes the Global Average Pooling layer. That model is applied to the new forest terrain so that power-up items can automatically be placed in an appropriate location.
Sistem Informasi Geografis Industri Kecil Menengah di Kabupaten Gorontalo

Small and Medium Industries (SMIs) is a field of industry responsible for producing various kinds of product. It plays an crucial role in Indonesia’s economic growth due it is able to absorb labor in an enormours number so that it reduces poverty and improves share of product export, Therefore, this pivotal role requires guidance from the government, particulary Industry and Trade Agency of Gorontalo District, to improve quality of SMls along with its productivity and competitiveness. Result of observation revealed that the Industry and Trade Agency had provided information concerning Small and Medium Industries so that the community and parties that needed the information could visit the agency, directly. However, this direct way was time-consuming and less effective, and therefore, it required a better method of information display for distribution of Small and Medium Industries, which could present location and other information associeted with the SMIs. Objective of this research was to develop a small and medium industries information system which eased users in fidding locations of SMIs programming language and MySQL database. Result of this research was a Small and Medium Industries Information System used to facilitate community and certain parties in finding locations of the SMIs in Gorontalo District.
Generating Varied Training Corpora in Runyankore Using a Combined Semantic and Syntactic, Pattern-Grammar-based Approach

Machine learning algorithms have been applied to achieve high levels of accuracy in tasks associated with the processing of natural language. However, these algorithms require large amounts of training data in order to perform efficiently. Since most Bantu languages lack the required training corpora because they are computationally under-resourced, we investigated how to generate a large varied training corpus in Runyankore, a Bantu language indigenous to Uganda. We found the use of a combined semantic and syntactic, pattern and grammar-based approach to be applicable to this purpose, and used it to generate one million sentences, both labelled and unlabelled, which can be applied as training data for machine learning algorithms. The generated text was evaluated in two ways: (1) assessing the semantics encoded in word embeddings obtained from the generated text, which showed correct word similarity; and (2) applying the labelled data to tasks such as sentiment analysis, which achieved satisfactory levels of accuracy.
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Service Level Agreement Conformance in Virtual Machine Migration with an Improved Energy and Performance Management Method

Increasing demand of computing resources and the popularity of cloud computing have led the organizations to establish of large-scale data centers. To handle varying workloads, allocating resources to Virtual Machines, placing the VMs in the most suitable physical machine at data centers without violating the Service Level Agreement remains a big challenge for the cloud providers. The energy consumption and performance degradation are the prime focus for the data centers in providing services by strictly following the SLA. In this paper we are suggesting a model for minimizing the energy consumption and performance degradation without violating SLA. The experiments conducted have shown a reduction in SLA violation by nearly 10%.
Finland: Finnish Communications Regulatory Authority and Transport Safety Agency merge into Transport and Communications Agency – UIC Communications

The organisation of the administrative branch of the Ministry of Transport and Communications will change at the beginning of 2019. The Finnish Transport Safety Agency, Trafi; Communications…
THE DEVELOPMENT OF INTERPRETATIVE ABILITIES OF THE SUVOROVITES WHEN TEACHING EXPRESSIVE READING OF THE BALLAD “HEATHER HONEY” BY R. L. STEVENSON

. The introduction to the paper outlines its aim to find ways of developing interpretative skills of the 5th-grade Suvorovites when teaching expressive reading. Materials and methods. The study is based on the analysis of psychological, pedagogical, and methodological literature, which help to teach the 5th-grade Suvorovites to deeply percept and understand literary text and subtext, and can foster the development of interpretative skills while teaching them to expressive reading. The research involves considering artistic interpretation as one of the most important directions of the literary development of reading Suvorovites. According to the study, the interconnection between the hermeneutic and axiological approaches to teaching expressive reading contributes to the development of recreational and creative imagination in the Suvorovites and reveals the deepest meanings of the work of fiction on a personal level. The results of the study. The study has determined the role of the hermeneutic and axiological aspects in the methodology of expressive reading. It has also considered the ways of building the interpretative competence in the younger adolescents of the Suvorov Military School through the work with the sounding word. Some features of the literary text perception by the Suvorovites have been analyzed, and the problems of the formation of the reader’s competence and interpretative skills have been identified, given a gender aspect. The paper also presents an interpretive analysis of the 5th-grade Suvorovites’ expressive reading of R. L. Stevenson’s ballad “Heather Honey” (translated by S. Ya. Marshak). This analysis of the Suvorovites work focuses on the development of emotional responsiveness, expansion of the intonation range, and teaching the empathetic principle in conjunction with the formation of ideas about the moral conceptual complex, which helps to deepen understanding of the ballad subtext and, therefore, not only improves the acting skills of the students but also cultivates their spiritual qualities (axiological aspect). Conclusion The study proves that the interconnection between the hermeneutic and axiological approaches to teaching expressive reading contributes to the efficient development of the interpretative skills of the Suvorovites-readers, allows them to penetrate the deepest meaning of the text, and forms the emotional intelligence and personal qualities of the first-year students of the Suvorov Military School. Keywords: expressive reading, interpretative abilities, hermeneutic approach, axiological approach, interpretative competence, acting analysis, emotional intelligence, text, subtext.
Experimental Study of the Classical Music and Light Intensity Effect on the Heart Rate of the Readers (A Case Study in Industrial Engineering Library, Diponegoro University)

This paper aims at determining the effect of music and light intensity on heart rate and perceptions of visitors in Industrial Engineering Library, analyzing the performance of users in various treatment conditions and by doing so, providing recommendations for the right combination of treatments to increase concentration and increase the level of relaxation. It proves a better performance of the students when they work in better physical environment design, especially in the library. Based on preliminary studies, it is indicated that the Industrial Engineering Library (IEL) needs re-engineering of the light and sound condition. The library room does not inline with the Head of National Library of Indonesia's rules, number 13 of 2017, about the national standard of college libraries for lighting condition. Besides, about 90.2% of students feel the classical music increases comfort and concentration in reading activities. The research data was collected by recording 24 respondents' heart rate and processed by experimental design using SPSS software. The result provides recommendations from the human physical aspect by selecting the treatment to achieve the highest performance. An additional questionnaire with a Likert scale was disseminated to measure the respondents' perceptions. The results showed that the interaction of 200-600 lux lighting and classical music variables was the best treatment to achieve the highest performance.
HUBUNGAN D-DIMER TERHADAP GOS PENDERITA CEDERA KEPALA DENGAN PERDARAHAN INTRASEREBRAL

Background . Traumatic Intracerebral Hemmorrage is The homogeneous and confluorent bleeding areas contained within the brain parenchyma are caused by the acceleration and decelation force due to trauma. The most common complication in the head injury due to traumatic intracergic bleeding is the occurrence of coagulopathy. The Prognosis of this condition can be predicted with D-dimer level elevation. The Glasgow Outcome Scale (GOS) is one of the scales used to measure the Outcome of the patient after a traumatic brain injury. Method. This research is a prospective study with a cohort approach. Data retrieval is conducted at IGD and RSUP Dr. M. Djamil Padang Surgical treatment Room from June to July 2020, with a minimum number of samples as many as 30 samples. The Data is conducted bivariate analysis with Chi-Square tests and Odds Ratio calculation in statistical.  Result. From 30 samples studied, D-dimer test results were conducted on the first day of treatment and the fifth day of treatment was acquired 22 patients (73.3%) decreased D-dimer and 8 patients (26.7%) D-dimer enhancement. The results of patient assessed from Glasgow Outcome Scale results gained 21 patients (70%) with good outcome and 9 patients (30%) with poor outcome.  Conclusion. There is correlation between D-dimer level and intracerebral haemorrhage with P-Value = 0.000 (< 0.05). In this study, OR (Odds Ratio) of 9.625 with CI 95% (2502-37021), from the results OR it could be concluded that the patient injured statistically with intracerebral haemorrhage with D-dimer level that had increased of 9 times become poor prognosis.
PENGEMBANGAN BAHAN AJAR BERBASIS PENDEKATAN OPEN ENDED PADA MATERI PENGUKURAN PANJANG DAN BERAT UNTUK MENINGKATKAN KEMAMPUAN PENALARAN SISWA KELAS IV DI SD N BUGANGAN 03 SEMARANG

The background that encourages this research and development is the lack of teaching materials in the fourth grade mathematics learning at SD NegeriBugangan 03 Semarang. The research objectives to be achieved in this study were to determine the feasibility of developing teaching materials based on an open-ended approach on material measuring length and weight. This research is a research development (Research and Development). The data analysis technique used qualitative descriptive and quantitative descriptive. The feasibility results are based on data analysis by media experts and material experts, and field trial results assessment. The results of the media validation was 90,6%, the material expert validation was 93,3%, and the evaluation of the test results by several teachers for the media was 88,4% and the material was 88%. This shows that teaching materials based on an open-ended approach are suitable for use as supporting teaching materials in mathematics learning. The suggestion that the writer can convey is that hoped that the teacher does not only use one teaching material. At least, teachers use supporting other teaching materials to support the main teaching material. In addition, teachers should pay attention to the level of students reasoning abilities to support students mathematical skills.
Authorship Identification Using Supervised Learning and n-Grams for Hindi Language

Authorship Identification pertains to establishing the author of a particular document, currently unknown, based on the documents previously available. The field of authorship identification has been explored so far primarily in the English language, using several supervised and unsupervised machine learning models along with usage of NLP techniques, but work on regional languages is highly limited. This may be due to the lack of collection of proper datasets and preprocessing techniques attributed to the rich morphological and stylistic features in these languages. In this paper we apply some supervised machine learning models, namely SVM and Naïve Bayes to Hindi literature to perform authorship analysis by picking four Hindi authors. We compare and analyze the accuracy which is so obtained using different models and bag of words approach.
TRENDS IN ACADEMIC ACHIEVEMENT OF SENIOR SECONDARY SCHOOL STUDENTS IN COMPUTER STUDIES IN RIVERS STATE

This study was an analysis of the trends in academic achievement of senior secondary school students in computer studies in Rivers state from 2014-2018. Three research questions and two null hypotheses guided the study. The research adopted the expost-facto research design. Sample size of 21,976 students in Rivers State who had enrolled and sat for computer studies examination in the Senior Secondary Certificate Examination (SSCE) conducted by the West African Examination Council (WAEC) from 2014 to 2018 was used for the study. The homogenous purposive sampling method was adopted to draw the sample. The instruments used for data collection was the already existing SSCE 2014-2018 computer studies results. The data collected was analyzed using statistical mean scores and standard deviation for the research questions and the independent t-test for the hypotheses. The study found among others that the trend of academic achievements of students in computer studies in Rivers State from 2014-2014 was above average across the years, that there was no significant difference in the academic achievement trend of students in SSCE 2014-2018 computer studies in Rivers State based on gender, and that the difference in the academic achievement trend of students in SSCE 2014-2018 computer studies in Rivers State based on school location was significant. Based on the findings, it was recommended among others that Government should pay serious attention to schools in rural areas particularly in the area of resource allocation.
Towards A Vision-Based Forward Collision Warning System

The annual number of road deaths is still increasing, especially in less developed and developing countries. Road accidents are the 5th cause of death and the leading reason for death among young people between 5 and 29 years of age in 2030. In this study, a robust solution is implemented by integrating object recognition with distance estimation to maximize driving safety. The proposed system will be able to detect common objects within the region of interest on the road and estimate how far these objects are from the camera position. The system will trigger an alarm to attract the driver’s attention in real time when the distance to one of the detected objects is less than a predefined threshold value. In this work YOLO (You Only Look Once) approach is used to detect the objects in real time and the properties of the depth map based on deep learning is applied to estimate the distance at a given point
LibGuides: Online Databases and Electronic Resources: All Databases

Find databases and other resources for researching that school project. Databases & Electronic Resources
THE EFFECTIVENESS OF SCANNING TECHNIQUE IN TEACHING READING AT THE EIGHTH GRADE OF SMP NEGERI 5 ALALAK SCHOOL YEAR 2019/2020

One of the basic skill must be mastered by students at junior high school is reading. But, unfortunately, it is so difficult for several students. To solve this, scanning technique can be considered to be used by the teacher in the class. In this study the researcher try to apply scanning technique in teaching reading. Here the researcher chose experimental research to know the effect of using quantitative approach with pre-experimental design (one-group pre-test, treatment and post-test). The population of this research was second grade students of SMPN 5 Alalak, while the sample was VIII C class that occoupied by 28 students. The instrument of this research was test. The data analyzed by using SPSS. The result showed that the students’ mean score in reading before they are taught using scannning technique was 69,25. While the students score after being taught using scanning technique was 81,43. The data computation of t-test show that P-value (Sig.) is 0,000, and it is smaller than 0,05 or 5% (0,000<0,05). In consequence, the null hypothesis (Ho) is rejected; it means that there is significant different score of students before and after being taught using scanning technique. Thus, it can be conclude is effective to be used for teaching reading for second grade of SMP NEGERI 5 Alalak school year 2019/2020.
Development of soft skills of students of secondary schools in the process of extracurricular school activities through solving mathematical problems in the game format

The relevance of this problem is determined by the need for developing soft skills in modern youth, which include communication, teamwork, leadership, logical thinking, creativity, emotional intelligence, time management, etc. Their formation in secondary school becomes possible in the process of mathematical problems solving in the game format during extracurricular activities. To confirm the state mentioned, we conducted the study using the following methods: generalization, analysis, and systematization of psychology-pedagogical sources on the topic mentioned; survey (respondents – 32 schoolchildren of the 9th grade); pedagogical conversation; prediction. The analysis of the research results made it possible to note that communication, logical thinking and time management became the most foreground soft skills for schoolchildren, which they use in the process of vital activity. Among the most demanded soft skills in conducting mathematics lessons, the respondents emphasized logical thinking, time management, emotional intelligence. Secondary education seekers referred communication, interaction/teamwork skills, creative thinking, leadership, emotional intelligence to the number of most significant soft skills that are necessary for the implementation of extracurricular activities. Among soft skills, which are directly involved in the process of conducting educational activity in mathematics in the game format, the respondents pointed out teamwork, communication, logical and creative thinking, time management, emotional intelligence, leadership. To the number of pedagogical forms, with the help of which the process of formation of soft skills in the educational process, particularly while learning mathematical disciplines, takes place, the majority of schoolchildren referred the club of cheerful and inventive ones, quizzes on the subject, brain-rings. Schoolchildren see the process of soft skills development out of school in using online games, participating in the work of clubs in various educational institutions, attending trainings and speaking clubs. We see the perspectives for the further research in this direction in determining the ways of formation of the skills mentioned in schoolchildren, in the system of lesson activities in conditions of online education.
Software implementation strategies for telecommunications problems

This paper aims to investigate graph-related telecommunication problems from a conceptual modelling point of view, based on the argument that a wide range of efficient algorithms for these computational problems can be framed within three design paradigms, namely Backtracking, Divide and Conquer and Greedy approach. First of all, such an abstract design technique represents a general problem-solving template that can be used for a broad range of problems in a large variety of applications domains, whose resolution will thus materialize in specific instances of that procedure; the procedure shall be further implemented in any programming language. Secondly, it is important because it guides the researchers in the field and facilitates the development of new and useful algorithms for other graph-structured computational problems.