Reviewerly/exHarmony huggingface dataset:
A Computational Approach to Explore Extremist Ideologies in Daesh Discourse

This paper uses a computer-based frequency analysis to present an ideological discourse analysis of extremist ideologies in Daesh discourse.More specifically, by using a computer-assisted text analysis, the paper attempts to investigate the hidden extremist ideologies beyond the discourse of the first issue of Rumiyah, one of the main digital publications of Daesh.The paper's main objectives are to expose hidden ideologies beyond the mere linguistic form of discourse, to offer better linguistic understanding of the manipulative use of language in religious discourse, and to highlight the relevance of using a computer-based frequency analysis to discourse studies and corpus linguistics.The paper also employs van Dijk's ideological discourse analysis, by adopting his positive self-presentation and negative other-presentation strategies.Findings reveal that Daesh discourse in Rumiyah is rhetorically structured to hide the manipulative ideologies of its users, which in turn functions to reformulate the social, political and religious attitudes of its readers.
The alternative book page at micro.blog is ...

The alternative book page at micro.blog is a more interesting to a straight Amazon link, but I do not understand how a new book finds
The Real Unıverse Model

The developed cosmogonic theory and laws explain the objective solution of the problem of cosmogony - the universe, antiquity, solar system, planets and their satellites the origin and development, as well as their structure and chemical composition. At the same time, objective reasons for the formation of water and life in the solar system are given.
DESIGN OF ARDUINO UNO-BASED EARTHQUAKE LEVEL VIBRATION LEVEL DETECTION

This study aims to develop from the basis of an earthquake detection system that is controlled by a vibration sensor based on Arduino Uno which can later be developed into the future for the advancement of sophisticated robot technology so that it is useful for the benefit of science. Using these sensors can find out that an earthquake will occur so that an SMS will be sent to the officer to notify the public that there has been a danger caused by a continuous earthquake that can take its toll. This tool, although still in miniature form so that it can have the advantage of senesitivity to ground vibration can be detected quickly. This system has been successfully created and tested so that it can be a forerunner for the safety of the earthquake disaster that will occur when it is rife.
Vocabulary analysis of CSAT English tests and CSAT-EBS preparation coursebooks, with reference to the reading tests

The present study compares College Scholastic Ability Test (CSAT) English reading tests and EBS suneungteukgang yeongeo yeongyeok, EBS CSAT-prep English coursebooks, concerning lexical sophistication, lexical density and lexical diversity. Chi-square tests showed that insofar as lexical sophistication was concerned, there was a significant difference between the CSAT English reading tests and the EBS prep coursebooks at both the micro-level and the macro-level. No such differences were confirmed in the cases of lexical density and lexical diversity. The work concludes that the increase of the difficulty level of vocabulary in the CSAT English reading tests since the 2011 academic year was not due to the difficulty level of vocabulary in the EBS prep coursebooks, but to the difficulty level of vocabulary in the test items that have got nothing to do with the coursebooks.
APPLICATION OF HOUSEHOLD INDUSTRIAL CERTIFICATE LICENSE USING WEIGHT PRODUCT METHOD

The process of granting home industry food certificates to the City of Tanjungbalai Health Office does not yet have a decision support system that can assist in making decisions quickly and accurately both in terms of the licensor (Dinas Kesehatan) and the certificate applicant (producer), this is because the assessment process is still being carried out manually and do not yet have an integrated system that can facilitate decision making in granting home industry food certificate permits. The adoption of a Decision Support System using the web-based Weight Product (WP) method can assist the Health Office in determining producers who qualify for a food certificate permit under established criteria. This Weight Product (WP) method can give weight to each criterion so that the Health Office has a benchmark in determining which producers meet the requirements for a home industry food certificate. This system also makes it easy for producers to apply for a permit because the system provides information to the permit applicant about the terms, conditions, alternatives, and criteria for obtaining a home industry food certificate permit online
Intruder Detection Monitoring System in Computer Networks Using Snort Based Sms Alert

Network security is an important factor in guaranteeing data. Guaranteed security can avoid losses caused by attacks that occur in the network. Administrators play an important role in maintaining data or file security, but administrators cannot at all times monitor the security of the network. This problem can be overcome by adding a system for data traffic detection or called IDS. IDS will be linked by SMS Alert so that administrators can receive notifications of interruptions on the network. In this study, researchers conduct analysis and testing of problems that arise so that it will produce a system that is able to detect attacks or disruptions on the network quickly and can provide warnings to network administrators, so that administrators can take steps to anticipate these disruptions. Attacks can be detected from the pattern of attacks that are in the IDS rule so that intruders who try to enter will be detected and the system will send an SMS notification to the administrator
Autoencoders for health improvement by compressing the set of patient features

A challenge to solve when analyzing multimorbidity patterns in elderly people is the management of a high number of characteristics associated with each patient. The main variables to study multimorbidity are diseases, however other variables should be considered to better classify the people included in each pattern. Age, sex, social class and medication are frequently used in the typing of each multimorbidity pattern. Subsequently the cardinality of the set of features that characterize a patient is very high and normally, the set is compressed to obtain a patient vector of new variables whose dimension is noticeably smaller than that of the initial set. To minimize the loss of information by compression, traditionally Principal Component Analysis (PCA) based projection techniques have been used, which although they are generally a good option, the projection is linear, which somehow reduces its flexibility and limits the performance. As an alternative to the PCA based techniques, in this paper, it is proposed to use autoencoders, and it is shown the improvement in the obtained multimorbidity patterns from the compressed database, when the registered data on about a million patients (5 years' follow-up) are processed. This work demonstrates that autoencoders retain a larger amount of information in each pattern and results are more consistent with clinical experience than other approaches frequently found in the literature.Clinical relevance- From an epidemiological perspective, the contribution is relevant, since it allows for a more precise analysis of multimorbidity patterns, leading to better approaches to patient health strategies.
2015 개정 프랑스 초등 지리 교과서 분석

This study sought to derive the direction for improvement of the framework for social studies textbooks in elementary school at the stage of implementing changes to the system of publishing textbooks into a screening and approval system. French Textbooks are issued with a certificate and recognition system. The revised French curriculum emphasizes competence, and the presentation style and amount of learning were adjusted. Accordingly, the allocation of pages to raise students' capacity can be seen in the textbook system. As a result of the analysis, this study suggests self-directed learning by organizing subject and scene and competency learning in a concrete and phased manner. Second, it is suggested to organize the data into systematic questions so that it can be read, applied, evaluated and aggregated. Third, data such as maps and photographs should provide sufficient information. Finally, appropriate use of colors and symbols in the text is suggested. Through such continuous research on the development of textbooks, it is the hope of the authors that Korean elementary social studies textbooks will become good textbooks.
Plataformas de medios sociales y uso dado por estudiantes indígenas durante el confinamiento por la pandemia COVID-19

The present research was with the intention of analyzing what is the handling that university students from indigenous communities give to social media platforms during the COVID-19 pandemic and the impact that this has on their learning. For this purpose, we rely on the quantitative methodological approach, counting on a universe of 168 indigenous students, corresponding to the long school year February-July 2020, all from the Bachelor of Education Sciences of the Academic Division of Education and Arts in the Autonomous Juárez University of Tabasco, in Mexico. Of the total universe, 44 indigenous students between 19 and 24 years old were taken as a study sample. For data collection, a closed question form on a Likert-type scale was used as an instrument with 3 categories of responses that were previously delimited, in order to identify the use that they give to social media platforms and impact on learning of indigenous students. The results showed that the students, although they live in communities far from the city, are not limited in being able to access these digital tools, unfortunately the use they give does not favor their learning.
Design and Approximation of Big Data Investigation using Mapreduce and Hadoop

Hadoop is a stylish open-source execution of the MapReduce softwaredesign model. Map- Reduce and HDFS are the two major mechanismsof Hadoop. To avoid network congestions, a new method to preprocessmiddle data amid the maps and reduce stages, thus cumulative thethroughput of Hadoop clusters. These take in a serialization barrier thatinterruptions the lessen phase and repetitive merges, disk accesses.To handle large dataset needs to advancement the performance bymodifying existing Hadoop system. Describe Hadoop-A, an accelerationframework that optimizes Hadoop with plugin mechanism employedfor fast data movement, overwhelming its existing limitations. A mergealgorithm is familiarized to merge data without replication and diskaccess.
Synthesising Expressive Speech – Which Synthesiser for VOCAs?

In the context of people with complex communication needs who depend on Voice Output Communication Aids, the ability of speech synthesisers to convey not only sentences, but also emotions would be a great enrichment. The latter is essential and very natural in interpersonal speech communication. Hence, we are interested in the expressiveness of speech synthesisers and their perception. We present the results of a study in which 82 participants listened to different synthesised sentences with different emotional contours from three synthesisers. We found that participants' ratings on expressiveness and naturalness indicate that the synthesiser CereVoice performs better than the other synthesisers.
Twelve-qubit quantum computing for chemistry

Quantum ComputingAccurate electronic structure calculations are considered one of the most anticipated applications of quantum computing that will revolutionize theoretical chemistry and other related fields. Using the Google Sycamore quantum processor, Google AI Quantum and collaborators performed a variational quantum eigensolver (VQE) simulation of two intermediate-scale chemistry problems: the binding energy of hydrogen chains (as large as H12) and the isomerization mechanism of diazene (see the Perspective by Yuan). The simulations were performed on up to 12 qubits, involving up to 72 two-qubit gates, and show that it is possible to achieve chemical accuracy when VQE is combined with error mitigation strategies. The key building blocks of the proposed VQE algorithm are potentially scalable to larger systems that cannot be simulated classically.Science , this issue p. [1084][1]; see also p. [1054][2] [1]: /lookup/doi/10.1126/science.abb9811 [2]: /lookup/doi/10.1126/science.abd3880
Bitcoin is the Future of Money (Blockchain is the Future of Humanity)

Blockchains  are  a  relative  new  concept  that  started  out  when  Bitcoin  and  the  original Whitepaper  came  out,  in  fact,  Satoshi  Nakamoto’s  Whitepaper  didn’t  even  mention  the  word Blockchain, so how did this even became a thing?Blockchains are (most of them) ledgers that distribute data usually in a decentralised and public  form,  that  means  that  once  the  information  is  registered,  theoretically  it  cannot  be manipulated  or  altered  which  makes  a  great  use  for  data  management  such  as  logistics,  health records, and of course Money!Bitcoin is not only the first Blockchain created, it was the first use of this technology and the first  successful  implementation.  Now  governments,  companies,  and  regular  people  from  any country, social class or economic background can access financial services that are not tied up to a government or backed by a commodity.Bitcoin is not owned by anything or anybody which makes it a perfect tool for economic autonomy and the separation of governments and money. Blockchains will record and storage the world’s data so we can finally move to a digital world.
Teachers’ Strategy in Facing Students’ Disruptive Behavior at SDN 33 Kalukulajuk

Disruptive behavior is a bad behavior that is shown by the students during following the teaching learning process. The objective of the research is to find out the teachers’ strategy in facing students’ disruptive behavior at primary school. The population of this research is the teachers at SDN 33 Kalukulajuk and took two participants as sample. In the determining those samples, the researcher used purposive sampling technique. The method of this research is descriptive method. Video record and observation are used as instruments of this research. The result shows that the teacher in class I just used direct instruction, while the teacher in class III used direct and interactive instruction. The researcher concludes that from five of teachers’ strategy, there were two strategies used by the teachers in facing their students’ disruptive behavior namely direct and interactive instruction.
Non-contact Measurements of Blink-Associated Electrooculogram Using In-Pillow Cloth Electrodes: Potential Application as a Communication Aid

Paralysis patients, particularly those with amyotrophic lateral sclerosis (ALS), gradually lose the ability to speak because of muscle loss. Even communication through gestures becomes difficult as their condition progresses. Eventually, the only means of communication left is eye movement. Using electrooculogram (EOG) signals, it is possible to improve the communication abilities of those patients who can move their eyes. We examined whether blinking could be detected from the back of the head in a noncontact manner using an in-pillow cloth electrode. We conducted an experiment aimed at detecting blinks in five subjects. The results revealed the possibility of measuring the change of potential related to blinks, with average sensitivity of 96%. This suggested the possibility of establishing a simple tool for ALS patients and paralysis patients to communicate through blinking.
Statistical Analysis of Inter-attribute Relationships in Unfractionated Heparin Injection Problems

Unfractionated heparin (UFH) is commonly used in the intensive care unit (ICU) to prevent blood clotting. Recently, many researchers focus on the development of data- driven methods to solve UFH related problems, which usually involves time series analysis. The performance of data-driven methods depends on whether the inter-correlation of attributes (or variables) in the dataset is closely examined and addressed. This study performs attribute selection, optimal time delay and inter-attributes relations on ICU time series data, in order to provide insights of time series data for UFH related problems. Medical records of 3211 patients with 22 attributes extracted from MIMIC (Medical Information Mart for Intensive Care) III database are used for the experiment. Experimental result shows that some of commonly selected attributes in the literature are less sensitive to the variations of UFH injection. Furthermore, some attributes are inter-dependent, which can increase the complexity of data-driven models, implying that the number of attributes could be reduced. There are 9 attributes found highly related and fast responding in 22 commonly used attributes. This study shows strong potential to provide clinicians with information about sensitive attributes that can help determine the UFH injection policy in ICU.
Studying Heuristics Adaptation to a Specific Degree of Fuzziness

Nowadays, in the world are produced at high speed tremendous volumes of data which is sometimes incomplete, inconsistent, and/or uncertain. Therefore, operating and analyzing such data must be error-tolerant and should maintain a specific degree of result reliability. The behavior of several greedy and adaptive heuristics, including a natural-inspired optimization approach, the Discrete Fruit Fly Optimization Algorithm (DFOA), when applied to a set of fuzzified Traveling Salesman Problem (TSP) instances is studied. Several symmetric TSP instances were systematically transformed using two information imperfection parameters: the volume and the amplitude. The specified heuristics adaptation to a systematic degree of fuzziness is analyzed.
UPAYA MEWUJUDKAN GENERASI MUDA BEBAS NARKOBA MELALUI SOSIALISASI DAN SKRINING NARKOBA DI SMP N 9 PALEMBANG

Efforts to achieve a drug abuse-free young generation through socialization and drug abuse screening at student junior high schools (SMP) is very important because the junior high school students are the next generation who determine the fate of the nation. One such effort is the extension lecture and video animation. This community service aims to improve the knowledge of the dangers of drug abuse in the young generation, especially students in junior secondary school 9 Palembang. The program has shown an improvement of knowledge about definition, classification, impact and drug abuse prevention in the young generation.
Justicia restaurativa digital, conectividad y resonancia en tiempos del COVID-19

This article deals with the notion of a face-to-face encounter as something essential for restorative justice. Within a qualitative methodology and departing from the situation created by the COVID-19 crisis, its pages have an exploratory objective with regard to the possibilities of a distance restorative justice without physical contact among its participants. First, we will mention the surprising lack of specific international or internal regulation on this matter. To do this a content analysis of the most relevant norms will be developed. Second, through a literature review, restorative justice projects will be described in different countries affected by the COVID-19 crisis. Some prospective elements will be tackled with the so-called three tomorrows theory. The use of artificial intelligence in the criminal justice system will be mentioned. Finally, we will incorporate to this debate some aspects of the concept of resonance by Hartmut Rosa. This can be related to the potentialities and risks of a tele-justice in relation to the need for an embodied Victimology. In order to do so some illustrative excerpts of responses to questionnaires with four Spanish facilitators in different public services of restorative justice will be included.
LibGuides: A GUIDE during the COVID-19 Situation: For Librarians

REGULARLY UPDATED! A clearinghouse for information, and links to updated information, from reliable government and university sources
Fault management technology of power communication room based on the Internet of Things technology

With the continuous development of society, the construction of smart grids has gradually begun to be valued. Smart grids can liberate more labor and enable managers to manage the grid quickly and easily. The power communication network occupies an irreplaceable position in the smart grid. However, it is inevitable that various equipment failures will occur. Therefore, it is necessary to advance the time of fault handling through fault management, then reduce the fault harmfulness. In this paper, with the support of the Internet of Things technology, a monitoring system of the power communication room is constructed based on the configuration status and application environment of equipment, and an intelligent analysis method for fault location of the power communication room based on active detection is proposed. As a result, the reliable and stable operation of the power communication room can be guaranteed by using passive management and active management.
Model Game Visual Novel Bertema Edukasi Anti Bullying Berbasis Android

&lt;p&gt;&lt;strong&gt;Abstrak. &lt;/strong&gt;Banyak media edukasi anti &lt;em&gt;bullying&lt;/em&gt; yang beredar, tetapi media interaktif tidak terlalu banyak apalagi media edukasi yang berbentuk &lt;em&gt;game&lt;/em&gt;. Rancang bangun &lt;em&gt;game&lt;/em&gt; visual novel bertema edukasi anti &lt;em&gt;bullying &lt;/em&gt;berbasis android dibuat bertujuan untuk memberikan media edukasi anti &lt;em&gt;bullying&lt;/em&gt; yang menarik untuk remaja, didalamnya pemain akan mendapatkan gambaran &lt;em&gt;scenario bullying&lt;/em&gt;, dan dapat menentukan jalan keluarnya sendiri. &lt;em&gt;Game&lt;/em&gt; ini dibangun menggunakan metode luther-sutopo, dengan &lt;em&gt;game engine&lt;/em&gt; Ren’py yang menggunakan Bahasa pemrograman &lt;em&gt;python.&lt;/em&gt; Hasil uji user menunjukkan masing-masing aspek yang dinilai pada &lt;em&gt;Game &lt;/em&gt;yaitu: aspek &lt;em&gt;Usability, Gameplay, Mobility&lt;/em&gt;, dan &lt;em&gt;Audio&lt;/em&gt; berada pada kategori sangat baik.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Kata kunci&lt;/em&gt;&lt;/strong&gt;&lt;strong&gt;&lt;em&gt;:&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; Game Visual, Edukasi, Anti Bullying, Berbasis Android&lt;/em&gt;&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt;Abstract. &lt;/strong&gt;&lt;em&gt;Many anti-bullying educational media are circulating, but not too many interactive media let alone educational media in the form of games. The design of the building of an Android-based visual novel game with the theme of anti-bullying is based on Android aims to provide an interesting anti-bullying educational media for teenagers, in which players will get a picture of the bullying scenario, and can determine their own solutions. This game was built using the luther-sutopo method, with the Ren'py game engine using the Python programming language. User test results indicate each aspect assessed in the Game, namely: aspects of Usability, Gameplay, Mobility, and Audio are in the very good category.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keywords:&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; Visual Game, Education, Anti-Bullying, Based on Android&lt;/em&gt;&lt;/p&gt;