Reviewerly/exHarmony huggingface dataset:
Analysis of the Level of Attention and Meditation in Children, in the Development of Online Classes caused by the Covid-19, through a Brain-Computer Interface

Online classes have become in these times of pandemic by COVID-19, an alternative to continue studying; applied at all educational levels, from schoolchildren to postgraduate studies through University and Technical studies. This study evaluates the levels of attention and meditation applied to children from 8 to 12 years old, when they are doing their virtual classes, using a BCI device, which is installed on the children's head like a headband. Through which the level of attention and meditation is evaluated at the time of taking their classes online. The results show that children when they start their classes have a higher level of concentration compared to when the class is in the middle where children begin to decrease their level of concentration due to distraction, thus increasing their level of meditation. It is concluded that children tend to be distracted when they reach, on average, half the assigned time, this decrease in the concentration level caused by distracting agents, who are at home. Product of the little conditioning that the homes present to carry out academic activities, it is recommended at the time of the virtual classes, it is possible to eliminate, as far as possible these distracting agents, to improve the level of attention and with it a better use of the classes online, it is also recommended that a home environment for these activities be conditioned as much as possible, although being confined at home causes a change in study habits, they must adaptto new ways and one of these is the development of activities that correspond to online classes.
High performance computer analysis for indexing emails in digital forensic analysis (Computer Forensics)

The fiscal investigation requires as scientific support the expert work carried out by specialized experts using equipment, hardware and software under certain methodologies, being the limitation for the analysis and presentation of the requested information the amount of high performance computer equipment, reason in this investigation the comparative analysis was carried out taking as sample a report generated with more than 22, 000 e-mails with FRED SR WSC621E equipment and MAGNET AXIOM forensic software, in order to demonstrate the computer performance for the generation of the data for the presentation of the expert report and its report in PST format of e-mails according to a requested object of study, for tax investigation, in front of commercial computers including laptops
PROCESS APPROACH AND COLLABORATIVE LEARNING ANALYSIS ON STUDENTS’ ACADEMIC WRITING

Writing as a productive skill in English has been valued greatly, especially in an academic context. The process approach was started to be considered when teaching writing as it offers more meaningful learning. Furthermore, the approach makes room for collaborative learning between students and teachers. For EFL students whose first language is not English, mastering writing skills could be more challenging. To address the issues, the idea of a writing center has been adapted to a higher educational level for students who want to improve their writing. The study was conducted by using a qualitative descriptive approach and its data collection was carried out through a number of instruments to fulfill the triangulation method of a qualitative approach such as observation, semi-structured interviews, surveys, and corpus-based research. From the eight purposive sampling of tutees and the four tutors, the study concluded that EFL students are not familiar with the process of writing, so many of them consider having support merely on revising their essay draft. Even though collaborative writing was successfully carried out, but EFL students need to improve their independent study to follow up on the discussion they had with the tutors.
Influencing Factors on Meta-cognition of College Students in Nursing after Distance Learning

이 연구의 목적은 간호대학생의 비대면 수업 전과 후에 메타인지와 비판적 사고의 차이를 비교하고수업 후에 메타인지에 영향을 미치는 요인을 파악하는 것이다. 연구의 참가자는 61명의 간호대학생이었고 데이터 수집은 수업 전과 후 온라인 설문조사를 수행했다. IBM SPSS Statistics 25.0 프로그램을 사용하여 기술통계, 짝비교 t검정, 상관 및 다중 회귀 분석으로 데이터를 분석했다. 여학생은47명 (77.0%), 메타인지 및 비판적 사고는 각각 214.23±31.38 (범위: 140-286), 91.31±9.93 (범위: 69-114)이었다. 수업 전에 비해 수업 후에 메타인지와 비판적 사고가 통계적으로 유의하게 증가했다. 출석 점수, 학습전략 및 비판적 사고의 세 가지 변수로 구축된 메타인지 모델의 설명력은 77.9% (F=71.63, p<.001)이었다. COVID19와 같은 감염병 유행 상황에서 간호대학생을 대상으로 비대면 수업 후 메타인지와 비판적 사고가 증가했다.The purpose of this study was to compare the difference between meta-cognition and critical thinking before and after distance learning and to identify the factors affecting meta-cognition of college students in nursing. The data were collected from 61 college students in nursing in South Korea via an online survey, and analyzed by descriptive statistics, paired t-test, correlations and multiple regression analysis using IBM SPSS Statistics 25.0 program. It is found that 77% of them are female and their meta-cognition and critical thinking scores were 214.23±31.38 (range: 140-286) and 91.31±9.93 (range: 69-114), respectively. Meta-cognition and critical thinking increased significantly after distance learning. The explanatory power of the meta-cognition model including three explanatory variables (attendance score, learning strategy, and critical thinking) was found 77.9% (F=71.63, p<.001). We concluded that both meta-cognition and critical thinking increased after the implementation of distance learning for college students in nursing during the COVID-19 pandemic.
Modeling of the Dec 24, 2018 eruptive intrusion at Etna volcano by data of multi-disciplinary continuous deformation networks (CGPS, borehole strainmeters and tiltmeters)

&amp;lt;p&amp;gt;In the previous EGU 2019 we presented the different data acquired by the multi-disciplinary deformation networks during the eruption of Etna on 24 December 2018, when the volcano was suddenly penetrated by a violent dyke intrusion. An eruptive fissure opened and continued to propagate southward for more than 10 hours. The situation created the fear of possible serious consequences of feeding a lava flow even at medium-low altitudes, therefore potentially hazardous for the villages and infrastructures located there. However, the propagation stopped and lava flows finished on 25 December.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this updated study we present the effort made to model the complex eruptive process characterized by two attempts of intrusion. We inferred a first dyke starting from the sea level depth with an increasing of its dimension in the shallower part. Successively and until the early hours of 25 December, we revealed a second attempt of intrusion characterized by a dyke with a powerful opening with respect to the first dyke but that, fortunately, did not reach the free surface. We describe how different types of continuous deformation data provide complementary information on the ongoing process allowing us to model the fast intrusive process. In particular, the high-precision borehole instruments (strainmeters and tiltmeters) provided a robust early warning; the displacement field measured by high-rate GPS allowed obtaining an early but also reliable model of the source. Finally, the integration of all the continuous data constrained a more detailed and complete model and its time evolution able to represent the complex process leading to this flank eruption.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;
Towards Digital Diagnosis of Oral Cancer: A Study on Optimum Preferences of Histopathological Techniques and Features

Accurate diagnosis is dependent on various factors in the pathological domain, like types of slides used and features scrutinized. Sometimes a diagnosis is evident due to clear symptoms. But under adverse constraints, like improper acquisition etc., it is very difficult to give a quick and clear diagnosis. The study aims to conduct a survey from the well-known histopathologists of the country to gather an understanding of the techniques preferably used by them for diagnosis of the disease and summarize it, for arriving at optimum options which may be adopted for automation. This was a cross-sectional study conducted from March 2018 to May 2018 using a pre-tested structured questionnaire of multiple answer choices. The study subjects comprised of resident histopathologists of the hospitals covering states/locations all over the country, by selective sampling. The hospitals were selected based on the availability of on-site pathology centres and wide coverage. The analysis of the data was done using Ms-Excel and SPSS. The Non-Parametric Friedman Test was conducted to test for significance of the responses. Oral Squamous Cell Carcinoma (OSCC) of buccal mucosa with both moderately and well-differentiated grades were reported. For diagnosis, H&amp;E stain for the slides of 4? thickness is mostly used. Further, invasion of basement membrane was the most important architectural feature and increased nucleo-cytoplasmic ratio the most important cytological feature. This type of survey will help in carrying out a directed diagnosis or further research for automated diagnosis using the results.
Assisted Living System with Adaptive Sensor’s Contribution

Multimodal sensing and data processing have become a common approach in modern assisted living systems. This is widely justified by the complementary properties of sensors based on different sensing paradigms. However, all previous proposals assume data fusion to be made based on fixed criteria. We proved that particular sensors show different performance depending on the subject’s activity and consequently present the concept of an adaptive sensor’s contribution. In the proposed prototype architecture, the sensor information is first unified and then modulated to prefer the most reliable sensors. We also take into consideration the dynamics of the subject’s behavior and propose two algorithms for the adaptation of sensors’ contribution, and discuss their advantages and limitations based on case studies.
ELMo Embeddings for Polish

A model of ELMo embeddings for Polish language trained on large textual corpora (KGR10). To retrain the model please use the checkpoint and vocabulary files available at: https://nextcloud.clarin-pl.eu/index.php/s/EV96cjfflKwt2xH
The hydrothermal synthesis and gas sensing properties of ellipse-like Fe_2O_3

Fe_2O_3 particles were successfully synthesized by hydrothermal method. The morphology and gas sensing properties were investigated. The results shows that the diameter of the minor axis and major axis of ellipse-like Fe_2O_3 is about 800 nm and 500 nm, respectively. The sensor based on Fe_2O_3 particles exhibits an good response of about 48.2 to 1000 ppm triethylamine at optimum operating temperature of 400oC. The response time is 21 s, showing fast response to triethylamine.
THE USE OF VIDEO AS MEDIA IN TEACHING WRITING DESCRIPTIVE TEXT

Writing is one of the skills which must be mustered in learning English. However, many students het difficulties in learning writing. The objectives of the research entitled “ The used of video as media in teaching writing descriptive text” were to found out: 1) the implementation of the scenario in teaching English writing descriptive texts in seventh grade using video as media. 2) Students responses in learning descriptive text using video as media. In conducting this research, it was used a descriptive qualitative research design to describe the result of the research. The subject of the research was grade VII of junior high school in Padalarang, consit 20 students. The results of this study indicated that the implementation in teaching is done according to the scenario which was prepared by the researchers. The responses of the students based on the questionnaires showed that teaching learning proses using video was effective. Students had high enthusiasm, they did not feel monotonous, and they were motivated. From the result of assessment, most of the students had difficulties in writing English because they had poor grammar, lack of vocabulary, and poor understanding of mechanics in writing. In addition, the students had less experience because they were not accustomed to using English in writing. After learning using video as media, the student could overcome their difficulties eventhough there was few students that not understand grammar use, vocabulary, and mechanics in the final project. Keywords: Wring skill, Descriptive Text, Video
IMPROVING STUDENTS’ MOTIVATION IN LEARNING ENGLISH BY USING TOTAL PHYSICAL RESPONSE (TPR) AT GRADE VI OF MI SA’ADAH EL – ISLAMIYAH TEMBILAHAN

The problem in this research was fewer students’ motivation in learning English. This research aimed to increase students’ motivation in learning English by using the Total Physical Response (TPR) method. This research is a Classroom Action Research (CAR). The participants in this research were twenty-five students, twelve men and thirteen women in the sixth-grade of MI Sa'adah El-Islamiayah Tembilahan. The data were collected in each cycle from observation, questionnaire, and field notes. The findings of this research showed that the study by using the Total Physical Response (TPR) method has increased the students’ motivation in learning English in the sixth-grade of MI Sa'adah El-Islamiyah Tembilahan after two cycles have done. It can be seen from the result of the questionnaire, observation, and field note. In the first cycle, it was seen that there was a slight increase to the students’ motivation in learning English while in the second cycle; the students' motivation was more increased than the first cycle. Furthermore, the researchers concluded that using the Total Physical Response (TPR) method was able to increase the students’ motivation in learning English. As a recommendation, the method can be utilized to grade up the students’ better-learning motivation.
An Android-based on House sales Monitoring System in Housing Area

Problem in marketing will be shown up when there are two or more buyers booked the same block and number of a house and they paid the booking fee and each of those buyers coordinated with different salespersons, and the claims of who booked the house first will come up as the result. To solve that p
Implementation of Fuzzy Logic in Industrial Databases

Implementation of Fuzzy Logic in Industrial Databases KARPISZ Dariusz and KIEŁBUS Anna Abstract. The paper presents selected solutions for the implementation of fuzzy logic in industrial databases. Streaming data processing and classification is one of the most important problems in the Industry 4.0 era. The use of a database engine and appropriate design of the […]
On the Digital Hybrid Publishing Model of English Reference Books for Primary and Secondary Schools—A Case Study of Foreign Language Teaching and Research Press

&lt;p&gt;English reference books occupy a large proportion in the basic educational books market, and the innovative publishing model is worth exploring. Another valuable question is the way to apply digital hybrid publishing—a new publishing model—in English reference books. In this article, the above problems are analyzed by taking the digital teaching reference products of Foreign Language Teaching and Research Press as examples.&lt;/p&gt;
Processing and Analysis of ASTER and Landsat 8 Scenes to Aid in Geological Mapping: A Case Study of Murchison Greenstone Belt Area, South Africa

This paper presents processing and analysis results of ASTER and Landsat 8 scenes to aid in geological mapping of Murchison Greenstone Belt region of Limpopo Province, South Africa. Images of ASTER acquired in 2005 and 2006 and Landsat 8 acquired in 2019 were downloaded and subset covering 5 mapping sheets was extracted. Images of different band ratios and band combinations were experimented using ENVI and SNAP software to identify suitable band/band ratio combinations to produce FCCs that enabled discrimination of lithology, structural features, lineaments, alteration and iron oxides, land/water, surface features, vegetation cover and healthy vegetation etc. Using DEM data, slope and shaded relief were also prepared that enabled the identification of the extent of protruded outcrops, some structural features and lineaments using different FCC displays. These datasets prepared in ENVI file format were later exported to GeoTiff/Imagine file for display in ArcMap by the mapping geologists. FCCs made in various band combinations, ratio combination and also with slope are useful in discriminating geology, structural features and protruded outcrops including dykes that are not so visible in a true colour image of the same resolution. This study could illustrate the usefulness of remote sensing analysis to aid in geological mapping using freely available ASTER and Landsat 8 data.
A fuzzy control system for fitness service based on genetic algorithm during COVID-19 pandemic

During the COVID-19 epidemic period, it is essential to strengthen physical exercise and improve the health of the whole people. In this paper, based on genetic algorithm, a fuzzy control system is proposed to dynamically adjust the exercise ability of the bodybuilders under the comprehensive consideration of parameters. Through experiments and data processing, the system obtains bioelectric information related to heart rate, heart rate variability and muscle fatigue of the fitness people in the three states of not fatigue, moderate fatigue and extreme fatigue, establishes fuzzy membership function, and thus establishes personalized fitness information feedback control strategy to maintain moderate fitness intensity. By narrowing the gap between the predicted RPE value based on objective information and the measured RPE, the method provides a unified subjective and objective exercise intensity for the bodybuilders, effectively expands the time of aerobic exercise, and enhances the effect of aerobic exercise. In addition, in order to expand the scope of application of the exercise intensity control model, the service-oriented transformation is carried out to enable it to provide fitness content combinations of interest to fitness practitioners and instructors.
A Novel Selective Encryption Method Based on Skin Lesion Detection

Due to the semitrusted cloud, privacy protection of medical images in medical imaging clouds has become a precondition. For the privacy of patients and the security of medical images in the cloud, this paper proposes a selective encryption based on DNA sequence and chaotic maps for skin lesion image. Initially, we design a transition region-based level set evolution functional which is merged into a variational level set expression with two extra energy functionals, to segment skin lesion image. Once skin lesion detection has been performed, the detected skin lesion pixels are encrypted by employing chaotic systems and DNA sequences. We apply 2D-LASM and 1D-LSS to produce the pseudorandom sequences and use the hash function of the plaintext image to calculate the secret keys of the encryption system. Results demonstrate that the proposed segmentation method is particularly suitable for the detection of skin lesion images with strong noise and complex background. Meanwhile, security analysis also reveals that this selective encryption has a large security key space and high sensitivity to the plaintext image and the secret key.
Adopting of Service Level Agreement (SLA) in enhancing the quality of IT hardware service support

Service Level Agreement (SLA) is a contract between a service provider and different levels of users in the organization. SLA lays out the metrics by which a service is measured, as well as penalties should the expected service levels are not met. SLA reduces the amount of job schedule based on IT support services and transfers all IT-related problems to the service provider. Existing SLA approaches have several limitations including pricing strategy, incident handling, and documentation. A more “customized” approach needed for SLA Hardware based on the organization’s mission and vision. Adopting the SLA also act as a KPI (Knowledge Performance Index) for the internal services that reflect back to the company performance and users experiences. This paper proposes a research framework study for such as framework based on strong theoretical foundation and industry best practice and can be apply to organization or company that does not have the SLA system on the IT service support environment. This adoption SLA only for IT hardware (Break and Fix)
Information Hiding Based on Retina Random Number Keys

As digital technologies grow more rapidly, information security threats are becoming increasingly dangerous. Advanced and various cyber-attacks and security threats, like targeted emails, information exploitation, etc. pose a critical threat that basically undermines the trust in the digital society. So that, this paper presents a secure system that is designed and built based on a technique that exploited the significant features of human retina images and arithmetic sequence for generating keys at high-quality of specifications in randomization, unpredictability, and non-regeneration terms. These keys are used in encryption and hiding processes. The proposed system involves two sides which are transmitter and receiver sides. The transmitter side includes three stages which are key constructing, encrypting secret plaintext messages by using xor operation, and hiding the encrypted messages using the least significant bit (LSB). The receiver side also includes three stages which are key constructing, extracting the encrypted messages using the LSB method, and decryption using xor operation. The experiments demonstrate that the retina keys are passed most the tests of NIST with high rates of success. The average security test of the encrypted message possesses a high value relatively, so, the encrypted message is secure against entropy attack. The PSNR values for stego-image with embedding 10 and 100 characters are 92.42 dB, and 85.71 dB respectively.
Technological Paradigm and the Social Life of the Metropolis (on the Example of Moscow)

The social demand for the realization of the multilayered process of the citizens' network interactions changes the face of the metropolis.Both dominant and ordinary buildings, streets, squares, parks, and water spaces are combined in a single stream of urban life.Buildings which have previously been designed to perform a single public function, operate in a new mode, which implies maximum complexity and flexibility of the functional content.User preference is given to an open-source environment.The task of translating new meanings and attitudes is assigned to the architectural designs of the urban environment, intended to ensure the social ascent of society to a new level of civic consciousness.