Reviewerly/exHarmony huggingface dataset:
A Monitoring Mechanism for Electric Heaters Based on Edge Computing

With the rapid proliferation of IOT sensors, the traditional cloud computing paradigm confronts several challenges such as bandwidth limitation and high latency. Therefore, edge computing paradigm has been paid more attention. In order to guarantee the real-time monitoring of electric heaters, this paper proposes a monitoring architecture combining cloud and edge nodes, and an anomaly detection method and a heating prediction method based on the architecture. Experiments show that the presented monitoring mechanism can reduce response time, improve data transmission efficiency and realize real-time monitoring and management.
Correspondence between Multilevel Graph Partitions and Tree Decompositions

We present a mapping between rooted tree decompositions and node separator based multilevel graph partitions. Significant research into both tree decompositions and graph partitions exists. We hope that our result allows for an easier knowledge transfer between the two research avenues.
X ray microanalysis of northeastern Quintana Roo aquatic biota, Mexico: evidence of hazard metals presence

Microanalysis of elemental composition using dispersive energy X-ray is a biomonitoring tool to identify hazard metals. Using scanning electron microscopy/energy dispersive X-ray spectrometry, we studied the bioaccumulation of toxic metals in the lorica of diatoms, dinoflagellates, rotifers, cladocerans, copepods and fish scales in the aquatic ecosystems of northeastern Quintana Roo, Mexico. The study was carried out in the coastal zone, where samples were collected in 16 exposed bodies of water, including dolines, mangroves and lagoons. Microanalysis of the most abundant organisms revealed evidence of the presence of essential trace elements and metals (Ag, Al, Br, Cd, Cu, Fe, Hg, Pb and Zn) in the lorica and scales. Furthermore, interpolation maps of the northeastern zone of Quintana Roo were produced to pinpoint critical pollution zones of Cd, Hg and Pb, elements that are deemed toxic to the health of humans and aquatic ecosystems. In conclusion, elemental microanalysis of species native to the Mexican state of Quintana Roo using X-ray is a powerful tool for aquatic and toxicological biomonitoring of hazardous metals.
APLIKASI BELAJAR BERBASIS DIGITAL DAPAT MENINGKATKAN MOTIVASI BELAJAR MAHASISWA

The purpose of this study is to measure how the role of digital based learning applications through smartphone facilities can influence learning motivation among students. The method used in this study was to use quantitative descriptive analysis involving 90 (ninety) students using random sampling techniques.This method of collecting data through a questionnaire method supported by the documentation method. Linear regression analysis is a technique used in analyzing this data. Based on the results of this study concluded: (1) There is a significant influence between digital-based learning applications on student learning motivation (2) There is a significant influence between smartphones on student learning motivation (3) There is a significant influence between digital based learning applications and smartphone against student learning motivation. Simultaneously with the presence of digital-based learning applications and through smartphone means can increase student learning motivation
Implicit learning of perceptual distributions in children with ASD

Recent theories of autism spectrum disorder (ASD) based on the Predictive Coding framework hypothesize differences in implicit learning based on the statistical regularities of the environment in ASD. Previous studies indicate that children and adults with ASD are able to represent sets of low-level stimuli by its mean when assessed explicitly. However, it is unknown whether and how children with ASD implicitly represent sets of similar low-level stimuli. Chetverikov and colleagues (2016) found evidence for implicit learning of feature distributions’ parameters (mean, variance and shape) in adults assessed by repetition and role-reversal effects in an odd-one-out search task. In this study, the odd-one-out search task (Chetverikov et al., 2016) was administered in an ASD group and a typically developing (TD) group of children (10–14y). We aimed for two groups of 25 children, matched for age, IQ and gender ratio. The task consisted of prime and test blocks and the children had to search for the odd-one-out in arrays of differently oriented lines. Within blocks, the orientations of the distractors were sampled from a Gaussian distribution with a constant mean and standard deviation of 10° or 5°. In the test blocks, target distance from the mean of the preceding prime distractor distribution (current-target-to-previous-distractors-distance; CT-PD) was manipulated. The internal model of the distractor distribution can be assessed by plotting reaction times (RTs) as a function of CT-PDs. Preliminary analyses on a subsample of the ASD (N=18) and TD groups (N=26) showed no significant difference in RTs or accuracy between groups. In addition, a significant decrease in RTs with repetitions in prime blocks was found in both groups. RTs in test blocks decreased as CT-PD increased in children with and without ASD. These preliminary results suggest that both children with and without ASD are able to implicitly learn the distractor distributions.
Efficient and Secure Image Sharing In Cloud through Data and Storage Encryption Process

Millions of private images are generated in various digital devices every day. The consequent massive computational workload makes people turn to cloud computing platforms for their economical computation resources. Meanwhile, the privacy concerns over the sensitive information contained in outsourced image data arise in public. In fact, once uploaded to cloud, the security and privacy of the image content can only presume upon the reliability of the cloud service providers. Lack of assuring security and privacy guarantees becomes the main barrier to further deployment of cloud-based image processing systems. In existing various image processing tasks, including image feature detection, digital watermarking, content-based image search were implemented. The state-of-the-art techniques, including secure multiparty computation, and homomorphic encryption are investigated. In our proposed, data is encrypted and stored in cloud with watermarked technique. This is used to ensure originality of image and repository key has been generatedto ensure security to user data in maximum.This shows our proposed system attains maximum performance compared to existing system.
VOCABULARY MASTERY WITH STORYTELLING METHODS AND CONVENTIONALITY STRATEGIES AND REFERENCES TO STUDENTS IN THE A1 TK RAHMA CIRACAS

Abstract:. Teaching languages in early childhood (3-5 years of age) requires a fun method. In early childhood it is commonly referred to as The Golden Age. Stories need to be given to children considering the many benefits that can be obtained from a story. Besides giving pleasure and presenting various experiences and insights for children, stories are thought to be able to improve children's language skills. This study aims to describe the process of mastering the vocabulary of children through the method of telling stories with conventionality and reference strategies for A1 grade students at TK Rahma Ciracas. The research method used is descriptive qualitative with observation, interviews, and recording results. With conventional strategies and references, mastery of vocabulary in children is more focused and directed, so mistakes in determining their meaning can be avoided. In addition, the method of telling stories with this strategy is very effective for language teaching in early childhood.
The Impact of Applying Wildcards to Disabled Modules for Ftk Pattern Banks on Efficiency and Data Flow

Online selection is an essential step to collect the most relevant collisions from the very large number of collisions inside the ATLAS detector at the Large Hadron Collider (LHC). The Fast TracKer (FTK) is a hardware based track finder, built to greatly improve the ATLAS trigger system capabilities for identifying interesting physics processes through track-based signatures. The FTK is reconstructing after each Level-1 trigger all tracks with pT &gt; 1 GeV, such that the high-level trigger system gains access to track information at an early stage. FTK track reconstruction starts with a pattern recognition step. Patterns are found with hits in seven out of eight possible detector layers. Disabled detector modules, as often encountered during LHC operation, lead to efficiency losses. To recover efficiency, WildCards (WC) algorithms are implemented in the FTK system. The WC algorithm recovers inefficiency but also causes high combinatorial background and thus increased data volumes in the FTK system, possibly exceeding hardware limitations. To overcome this, a refined algorithm to select patterns is developed and investigated in this article.
Establishment and Practice on the Central Position of Talents Training in Secondary Teaching Units

In order to cultivate compound applied talents, it is necessary to further establish the central position of talent cultivation. This paper expounds the importance of teaching for establishing the central position of talent cultivation from five aspects: administrators' attention to teaching, system guarantee teaching, teachers' research teaching, scientific research promoting teaching, and daily management service teaching. Strengthening the position of talent training center can promote the development of schools, effectively serve the society and promote cultural inheritance.
Comparative Study of Causes and Effects of Economic Corruption in Nigeria

This work analyzes the terms contributing to economic corruption in the Nigeria.The analyses shows that privatization of public sectors has affected the economy negatively.Some public policies contribute to the growth either negatively or positively to the growth and development of Nigerian economy.In many countries, the way economy is defined is how it is in their country.Some countries, particularly in Africa, have a low decreasing economic growth as a result of corruption and mismanagement.It seems that every year the price of goods and costs of living increase sequentially, example, a litre of fuel was sold at a minimum price of ₦60 in 2012, while in 2018 the minimum price was ₦145 which was not proper.As stated above, 'Economy deals with men in their ordinary business of life, earning and enjoying a living'.From this statement, it was observed that it is not true in Nigeria.Many people have ordinary businesses that earn, but not enjoying any living due to hardship caused by series of corrupt practices.Many people work just to eat two times a day, while some strives to maintain a particular meal type | diet for a weak in order to survive.Some work as civil servants but owed for months by government showing that the business is there but, they are not enjoying any living due to corruption in an economy.
Unique Model of Criminal Record Management System in the Perspective of Somalia

The project Criminal Record Management System in the perspective of Somalia is a Criminal record management system that uses to record crime activities of criminals. It can be used to report criminal activities. This project is mainly useful for law and enforcement agencies in Somalia. The law and enforcement authority can preserve records of the criminals and search for any criminal using the system. This is an online web application with a database system in which police will keep the record of criminals who have been arrested.Â We have used HTML, JavaScript, CSS, PHP, MySql and Bootstrap to develop this system.Â We have also used binary search algorithm to find a criminal from the database. The project's interface is very user-friendly and helpful for authority.
Penggunaan buku komik “bahasa Indonesia bagi penutur asing (BIPA) 1” dan pengaruhnya terhadap hasil belajar peserta BIPA

Indonesian Language Learning for Foreign Speakers (BIPA) is interesting because Indonesian language becomes the second language learning for BIPA participants. Many obstacles are happened during learning BIPA, one of communication problem between teacher and participant. Communication problem in delivering material BIPA class can overcome with visual language. Visual language will be made in the form of comics as and teach BIPA. Comics as a medium of learning has long been applied to give a positive impact during the learning process Comic media in addition to fun, also always linked can increase interest in reading, and develop vocabulary in the language used comic As a first step to arouse interest in reading especially those who do not like reading In addition to comics also improve all other language skills, such as talking and listening. Comics is able to package all learners with a fun language skills. So, comics have a close related with language learning, because it is always associated with improving language skills therefore, research aims to design the book in the form of comic on learning BIPA language. Researchers hope this research will be useful for the world of language education, especially BIPA, in Indonesia and provide new solutions by using comics as a fun learning media and able to increase interest and motivation to learn BIPA participants.
THE EFFECTIVENESS OF GOOD INTERVIEW FOR STUDENTS' MOTIVATION IN LEARNING SPEAKING

THE EFFECTIVENESS OF GOOD INTERVIEW FOR STUDENTS' MOTIVATION IN LEARNING SPEAKING Speaking skill is an important skill that they should master when they learn a language. Based on the observation, speaking ability of Student of Politeknik Kelapa Sawit Bekasi still in low level. The students seem to be confused to express their idea using English, mainly because of the lack of vocabulary. In this study, the researcher attempts to conduct a research about the use of students’ good interview in English language classrooms and its impact in speaking skill. The use good interview in classroom is important because of its positive impact on students’ proficiency level. The objective of this research was to prove whether or not students’ motivation in speaking learning can be improved by using good interview for students in Cultivation Program of Politeknik kelapa Sawit Bekasi The results of this study shows that before the implementation of good interview, students speaking skills are in low level. However, after doing good interview, students felt greatly helped by the good interview material, unlike other boring speaking material and told them to do public speaking, good interviews were felt to provide them with many benefits, so they are felt motivated and eager to learn speaking more.
Are Certifications Necessary to Join the C-Suite?

Much research has been done on the importance of certifications, revealing that they are not only beneficial to individuals and companies, but also to educational communities.The question is, is it necessary for accountants and other financial professionals to have a professional certification, such as the CPA or the CMA, to elevate to the level of senior management in major corporations?To research this question, a list of the Fortune 500 companies was retrieved from the Internet and a review of the qualifications of the top executives was performed.The results were very interesting and are presented below.
ASSESSING DESCRIPTIVE PARAGRAPH WRITING ABILITY OF THE EIGHTH GRADE STUDENTS OF SMPN 2 SUKAWATI THROUGH GUIDED QUESTION AND ANSWERING ACADEMIC YEAR 2018/2019

The researchers was interested in undertaking the study which dealt with assessing descriptive paragraph writing ability of the eighth grade students of SMPN 2 Sukawati through guided question and answer in academic year 2018/2019. It was aimed at figuring out the achievement of the eighth grade students’ descriptive paragraph writing ability at SMPN 2 Sukawati in academic year 2018/2019 which was assessed through guided question and answer. The study was designed in the form of ex-post facto research. There were 50 eighth grade students of SMPN 2 Sukawati in academic year 2018/2019 who were chosen by using random sampling technique with lottery system as the research samples. The data were collected by administering guided question and answer test as the research instrument. The obtained data had been analyzed by using norm reference measure of five standard values. The results of the data analysis showed that (1) 1 or 2% of 50 samples got excellent achievement of descriptive paragraph writing ability, (2) 18 or 36% of 50 samples got good achievement, (3) 15 or 30% of samples got sufficient achievement, (4) 9 or 18% of samples got insufficient achievement, (5) 7 or 14% got poor achievement. It could be concluded that there were 68% of the samples were successful and there were 32% of the samples were unsuccessful in writing descriptive paragraph which was assessed by guided question and answer.
A Brief Discussion about the Problems and Countermeasures of the Development of Private Higher Education

China's private higher education experiences nearly 40 years of development and already made great achievements. It has sent many outstanding talents to the country, but there are still some problems. This paper analyzes the development dilemma of private higher education from the aspects of enrollment, treatment of teachers and students, teachersâ€™ qualities, and then proposes countermeasures for the development of private higher education from the perspective of learning from foreign experience in running schools, combining their own reality and relying on local economy, which is in order to provide some references for the development of private higher education in China.
Formation of military position in the valuable system of cadets

The article presents a brief theoretical review of existing scientific papers that address the problems of social and professional identity, value orientations, as well as studying the relationship of these psychological concepts in the context of the formation of social identity of an individual.It also presents the results of the conducted empirical research, in particular, a comparative analysis of the significance of values for cadets of higher military educational institutions at various stages of military-professional socialization, the dynamics of the integrated structure of their value orientations in each course are examined, and the dependence of military social identity on terminal and instrumental values. The sample of the study was 255 people, men, the average length of military service for 3.1 years.The cadets' value orientations were revealed using M. Rokich's “Value Orientations” questionnaire, the characteristics of military identity were determined using the average of four scales of military social identity from the identity questionnaire developed by us based on the questionnaire.The correlation and regression analysis, as well as the arithmetic average calculation of the values for each course, made it possible to identify the conformity of the officer’s ideas about the personality with the value orientations that are formed in the process of military-school education, the diachronic nature of the integration of the structure of value orientations at each of the military-professional stages socialization, as well as the formation of the internal value structure of the personality of the cadet as a future commander. The results obtained can be used by personnel agencies to prepare recommendations for the commanders of units on the formation of the value system of subordinates.
Using syntactic methods and LSTM to the recognition of objects visual patterns

In this paper, we have designed a new approach to represent and recognize objects visual patterns using syntactic methods. We capture relevant information from an object and associate them with symbols of an alphabet. After that, we derive a string from the object and in put it to LSTM. The idea is to train LSTM with objects visual patterns encapsulated in the strings. We conducted an experiment using soybean crops aerial images captured by an Unmanned Aerial Vehicle (UAV), and we reached an average F-measure of 91%.
Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration

Computed tomography perfusion (CTP) Computed Tomography Perfusion (CTP) facilitates low-cost diagnosis and treatment of acute stroke. Cine scanning allows users to visualize brain anatomy and blood flow in virtually live time. However, effective visualization exposes patients to radiocontrast pharmaceuticals and extended scan times. Higher radiation dosage exposes patients to potential risks including hair loss, cataract formation, and cancer. To alleviate these risks, radiation dosage can be reduced along with tube current and/or X-ray radiation exposure time. However, resulting images may lack sufficient information or be affected by noise and/or artifacts. In this chapter, we propose a deep spatial-temporal convolutional neural network to preserve CTPComputed Tomography Perfusion (CTP) image quality at reduced tube current, low spatial resolution, and shorter exposure time. This network structure extracts multi-directional features from low-dose and low-resolution patches at different cross sections of the spatial-temporal data and reconstructs high-quality CT volumes. We assess the performance of the network concerning image restorationImage restoration at different tube currents and multiple resolution scales. The results indicate the ability of our network in restoring high-quality scans from data captured at as low as 21% of the standard radiation doseRadiation dose. The proposed network achieves an average improvement of 7% in perfusion maps compared to the state-of-the-art method.
Comparison of VQ and GMM for Text Independent Speaker Identification System for The Bengali Language

Speaker identification (SI) is the system to identify the person by the signal pattern of their voices.In recent years, many speaker identification models are proposed, but till now speaker identification technology do not reach their full potential.This paper presents a comprehensive comparative study of VQ and GMM to identify the speaker who speaks in Bengali accent.We consider the problem of text-independent speaker identification.We compare the performance/accuracy of VQ and GMM based Speaker Identification System (SIS).We use Mel Frequency Cepstral Coefficients (MFCC) and Liner Predictive Coding Coefficients (LPCC) for feature extraction.
Research Information System and Community Service in LPPM Timor University

Information technology consists of computers to process data, network systems to connect computers, and communication technology for distribution of data for global access.Now, the University of Timor has no information system to manage the data collection of research reports and lecturers' community service. This situation makes the data collection of reports in the LPPM section not yet effective.Data processing at the University of Timor LPPM is still manual, in the form of recording on paper and files on a computer. Even though the data collection already uses a computer, the data stored is irregular and not centralized.Based on the above problems, we created a system to assist the process of data collection of research reports and community service lecturers at the University of Timor LPPM, we used Adobe Dreamweaver CS5.The test results show that after implementing our system at LPPM, the research and service data becomes well organized in one database, it is more effective and efficient in managing data and information about LPPM activities.