Reviewerly/exHarmony huggingface dataset:
Effects of Mindfulness-based Stress Reduction and Yoga class on the Life Stress and Mental Health of University Students Majoring in Physical Education

The purpose of the present study is to verify the effectiveness of mindfulness-based stress reduction (MBSR) and Yoga on the life stress and mental health of university students majoring in physical education. The subjects of this study were 85 physical education majors at W University in Jeollabuk-do, Korea. They were divided into the experimental group and control group depending on their experience of MBSR and yoga were observed for 15 weeks from Sep. 2 to Dec. 15, 2019 for a comparative analysis. Used for measurement were life stress and mental health test papers. The descriptive statistics as well as the repeated measures of ANOVA were also employed to analyze the data. As a result, the analysis found, first, a significant difference in life stress of the experimental group that performed MBSR and yoga. Second, there was a significant difference in mental health of the experimental group who underwent MBSR and yoga. Summing up the outcomes of the analysis as above, it may be said that MBSR and yoga might have a significant effect on the life stress and mental health of physical education university students as they will experience changes in their breathing, mind, body, and consciousness. Such experiences can, then, have a positive effect on their social life including their interpersonal relationship and confidence in their daily life.
Innovation in ELT: Multiliteracies Pedagogy for Enhancing Critical Thinking Skills in the 21st Century

: The problem with this research is the lack of skills and thinking skills of humane education in the twenty-first century, especially of critical thinking and problem-solving. It is caused by several factors, one of the main factors is, learning that has not been oriented to the development of the twenty-first-century thinking skills and still only focuses on achieving partial-textual knowledge and not on the integrative-contextual understanding of the knowledge learned. In line with this, it takes an effort to improve the critical thinking skills of Indonesian education. The effort should be initiated by engineering the appropriate education model and on target, one of which is multiliteracies pedagogy. This research was conducted using the literature study discussing multiliteracies pedagogy to enhancing critical thinking skills in the twenty-first century. Literature review refers to a written synthesis of journal articles, books, and other documents that summarizes and critiques the past and current state of information about a topic, organizes the literature into sub-topics, and documents the background for a study. It can be concluded that the implementation of the multiliteracies pedagogy models is one of the alternative learning models that can improve critical thinking and problem-solving students in the university effectively in the areas of study taught compared to the most direct models used in English Language Teaching (ELT). Therefore, it is advisable to implement multiliteracies pedagogy in the practice of learning activities. Also, the application of multiliteracies pedagogy should be supported by the cooperation of all elements, both between teachers, management, and parents. This needs to be done to realize the effectiveness of quality learning, thus giving implications on the growth of potential students.
Initiating and prioritizing investigations

Nearly all investigation supervisors are responsible for managing investigations of one type or another. An accident investigation in one organization may be as important as a theft investigation is to another organization. It is the supervisor’s responsibility to ensure that investigations are complete, accurate, timely, and meet the needs of the organization. Minutes spent preparing can save hours in unnecessary effort. Supervisors need to create strong investigation support measures such as filing, mentoring, and information storage to provide the greatest long-term value from the investigative process.
ЛІДЕРОМ МОЖЕ БУТИ КОЖЕН

Leadership and its manifestations are quite logical response to the needs of society. In the process of accelerating scientific and technological and social progress, the needs of society in the leaders are increasing. This requires the education system to identify potential leaders and their subsequent focused training in professional management activities. The complexity of the social structure and the wide variety of tasks that individuals and their various communities have to fulfill requires the need for leaders of different sizes, content and activities. Therefore, there is the problem of determining whether each person can be a leader. It is shown that objectively there are opportunities for this, but their implementation to a significant extent also depends on the subjective circumstances, which predominantly serve the personality traits and properties of the person concerned. For the successful realization of any person's ability to become a leader, the educational system should play an important role. It must clearly define the leadership potential of a person and purposefully develop it, using adequate means of psychological and pedagogical influence.
Исследование проблемы трудоустройства студентов

Student placement is an important component of higher education. Every year an increasing number of graduates are faced with a lack of jobs. Also, many students are forced to combine work with study, which often negatively affects the quality of training. This article is devoted to the problem of student employment and their attitude to this problem and is aimed at studying the labor market for graduates of higher educational institutions.
Возможности логотерапии в формировании положительного отношения к труду осужденных

The article is devoted to the techniques, forms and psychotechnics of logotherapy that can be used in work with persons serving criminal sentences and belonging to different categories of convicts in accordance with a type of employment in a correctional institution. The article describes the practice of using logotherapy in the process of providing psychological and pedagogical influence on convicts’ personality and on their value-semantic sphere. The article reveals the peculiarities of forming and maintaining a positive attitude of persons serving criminal sentences to labour through the use of logotherapy techniques, taking into account the subtypes of convicts (identified by factor analysis) according to the criterion of their employment in places of detention. The results of the study showed that people who are not employed in correctional institutions, regardless of their desire to work, have a deformed semantic sphere.
HUBUNGAN ANTARA HARI SEKOLAH DAN MANDI PAGI PADA SISWA SMAN 4 MERAUKE (RELATIONSHIP BETWEEN SCHOOL DAYS AND MORNING BATH IN STUDENTS OF SMAN 4 MERAUKE)

Morning bathing is usually done by students during school days. If there is a school holiday, there is a shower and some do not take a bath. This study aims to determine whether or not there is a relationship between school days and morning bathing. This research method uses research instruments with questionnaires and documentation guidelines. The research subjects were students of SMAN 4 Merauke, totalling 244 people. The sample amounted to 71 people with the sampling technique using Simple Random Sampling. Data analysis uses descriptive statistical techniques and is presented in the form of fermentation distribution tables. To see the relationship between two variables of school day and morning bath, ChiSquare statistical test was performed. The results of the study showed that on the day of entering the school which always bathed in the morning as many as 66 children, sometimes taking a morning bath as many as 5 children. While on school holidays which always take a shower in the morning as many as 24 children, sometimes bathing in the morning as many as 41 children and never bathing as many as 6 children. Statistical analysis obtained X2count = 53.777, and X2table = 5.991 then X2count> X2table so that Ho is rejected. This means that there is a significant relationship between school days and morning bathing for students of SMAN 4 Merauke. The value of the correlation strength = 0.52 means that the strength of the correlation between school days and morning bathing in SMAN 4 Merauke students is quite strong.
The Effort to Raise Students’ Knowledge and Comprehension in the Learning Activity by Advanced Teachers

The objects of observation were advanced teachers in the effort of raising students’ knowledge and comprehension through learning activities. The approach was descriptive method. The basic of description came from the instruments used to collect the data such as questionnaires. There were seven statements in the questionnaires as the base of data analysis materials in this article. The observation samples were 180 teachers spread in two parts; 54 teachers teaching in Pekanbaru City and 54 teachers teaching in Kampar Regency. Samples selection was done randomly. The analysis results give information that teachers’ orientation in doing the treatment is at average 4,15 with very high category. As an important note in the effort of raising students’ knowledge and comprehension, it is known that there are three treatments that teachers’ level of intensity is lack in there such as making the students curios by presenting current issue, making a map of concepts as the knowledge framework, and relate the problem empirically and realistically compared to utilizing prior knowledge for building the next knowledge, encouraging the students to dig information through contemplation, inviting the students to look at what the teachers and their friends do productively. Professional teachers will try to take the students to have more knowledge and comprehension. Each teacher has their own way in accordance with the level of their knowledge and experience. However, overall the teachers do excellent treatment towards the students as the effort of raising students’ knowledge and comprehension.
CLUSTERING DATA NILAI ADAPTIF SISWA MENGGUNAKAN ALGORITMA K-MEANS

Student success rates and low student failure rates are a reflection of the quality of education, at this time the value does not determine the success of students in the next stage, but the uniqueness in itself that is represented in each grade they achieve, maybe students fail in mathematics but he succeeded in chemistry. it does not indicate he failed but he has shown its strengths in other respects namely other subjects, therefore this study seeks to find the positive side of students by classifying the value of subjects achieved by implementing the K-Means method in its application which will provide cluster output of each subject. K-Means method was chosen because this method can group items in k groups (where k is the number of groups or clusters desired, so the results of this termination are clusters of student grades grouped by subjects. K-Means is effective for clustering data by showing good accuracy value, this is indicated by the results of evaluations using Bouldin index davies on student data using K-Means which is equal to -1,478.  Keywords: C luster, K-Means, E ducation , Davies-Bouldin .
Overview of observed seismic signals on Mars

&amp;lt;p&amp;gt;InSight landed on Mars in late November 2018, and the SEIS package, which consists of one short period and one very broadband sensor, was deployed on the surface shortly after. The data returned by the InSight is monitored in a timely manner by the Marsquake Service (MQS), a ground segment support group of InSight that has been set up to establish and maintain the seismicity catalogue. The MQS has at least one member on duty who routinely checks the data for any type of seismic signals. All suspicious signals are then communicated to the InSight team after evaluation.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;To date, MQS has identified more than 365 events which are classified into two general families as high and low frequency, with each family having unique features in terms of their energy content. The most distinct quakes detected so far belong to the low frequency family that occurred on Sol 173 and 235, and have clear P and S-wave arrivals that reveal a distance around 30 degrees east of the lander, pointing the region in the vicinity of Cerberus Fossae. In addition to the signals of seismic origin, the SEIS data contain features that originate from other sources such as atmospheric effects or electronics. Part of these non-seismic observations may resemble quakes which may lead to wrong interpretations, and therefore require careful analysis.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Here, we show examples of signals of both seismic and non-seismic origins. We describe the characteristics of these observations in time and frequency domains in order to give an overview of martian data content.&amp;lt;/p&amp;gt;
Sense Scheduling for Robotics Cognitive Intelligence

Gawali, Mahendra Bhatu Gawali, Swapnali SunilProbably human is t he most intelligent animal live on the earth as compared to other animals. Human is intelligent because nature gifted him an extraordinary speciality that is thinking ability. On the basis of this thinking ability, human can decide what is wrong or correct for him or others. Twenty-first century is known for the artificial intelligence. Where humans are forming artificial intelligence (robots) to complete the daily works. But, it is a long lasting challenge for researchers/scientist to introduce sense in artificial intelligence. We proposed a human thought process method (HTPM) to decide a certain thing out of many options. We recorded every person’s thought while taking a decision. Scientifically, we concluded that our proposed HTPM method has given outstanding results when implemented in humanoid.
SUKU ANAK DALAM DICTIONARY: DOCUMENTING CULTURAL ITEMS OF ENDANGERED INDIGENOUS LANGUAGE

A number of ecological linguists, using critical discourse analysis, have found that between culture, language, and biodiversity has a correlation. One of them is Suku Anak Dalam or called Orang Rimba. Suku Anak Dalam is a semi nomadic ethnic group living in National Park of Bukit Dua Belas, Jambi Province. The language is indigenous and endangered so that it must be documented. The speakers of a language will lose their language; even language is often regarded as a symbol of tribal identity or national identity. In the midst of the widespread use and dissemination of foreign vocabulary, some regions still maintain the cultural vocabulary that characterizes the region. This research was conducted for the reason of collecting the lexical items from Suku Anak Dalam language into a dictionary. This research and development aimed to find out and examine the cultural items needed by dictionary of Suku Anak Dalam language. Keywords: Suku Anak Dalam Language, Designing, Software Dictionary, Indegeneous language
A GPU PARALLELIZATION FOR GRID GENERATION OF FUZZY TOPOGRAPHIC TOPOLOGICAL MAPPING

The fundamental in grid generation for multidimensional geomet-rical shape is to construct its grid form. Techniques for creating the grid forms and the smaller shapes formed is the basis of grid generation [1]. The form it-self will determine the quality of the generation process and well grid-construc-ted to describe numerical evaluation and speed. In this paper, a structured grid for Fuzzy Topographic Topological Mapping (FTTM) is proposed to improve the quality of grid in numerical perspectives. FTTM is a mathematical model to de-tect the neuro-inverse magnetic region for neurological disorder [2]. The detec-tion region is based on 4 vertices of FTTM and homeomorphic to each other [3]. A computable homeomorphism will use to define the vertices and edges compo-nents of FTTM. The edges represent their homeomorphisms. A topology on grid generation of FTTM addresses the fuzzy topographic and mapping algorithm. The mathematical modeling of FTTM performs the grid structure, design the grid-connected and synchronize the grid generation. For large and extended FTTM, mesh refinement coupled with fine granularity is used to generate the grid via multi-component and multi-version parallelization scheme. The detail of the construction and performance of the strategy is elaborated, evaluated and reported in the paper.
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The Song Dynasty is the time when diaries were established as a writing method in China. However, examining at the diary at the time as compared with the current standard, the nature of public writing and the nature of private writing were mixed, and also, it seems to be ambiguous to classify it as literary writing or to prescribe it as historical writing. Due to this ambiguity, research on diaries of the Song Dynasty has yet to reach the rudimentary stage, and to this day, its value has not been properly illuminated. Therefore, clarifying the boundaries and characteristics of diaries of the Song Dynasty, which is like a tangled thread, may have a great meaning in itself, and afterwards, it will contribute more than a certain step to establishing a support base for Chinese diary literature research leading to Ming‐Qing dynasties and modern and present ages. In addition, it is expected to play a mutual role not only in research within China, but also in research of Korean diary literature, which has been in close relationship with China since ancient times. After reviewing how to be able to define the writing of diaries, that is, whether the Song Dynasty diary has all of its characteristics, this study attempted to explore the general contents by classifying diaries of the Song Dynasty by type. Also, after looking at the significance that the Song Dynasty diary might have, this study has put an effort on how to utilize it in the academic and teaching fields, respectively.
پارامترهای دیرش- بنیاد ریتم گفتار، سنجهای برای تشخیص تقلب فارسیزبانان در گفتار؟

Using the auditory-acoustic approach, the present study examines the possibility of using durational acoustic parameters of speech rhythm for detecting the Persian speakers’ use of Azeri as a form of voice disguise. To do so, continuous speech of 5 speakers of Standard Persian and 5 speakers of Azeri, Tabrizi variety, were chosen for the acoustic and statistical analysis after completing the validity procedures. All Persian speakers were monolingual and all Azeri speakers were bilingual speakers of Azeri and Persian, who spoke Azeri as their mother tongue and Persian as their second language. Each Persian speaker was asked to narrate a lifetime experience once in Persian (Persian- Persian data), and once as an imitation of Azeri (Persian- Azeri data). Azeri speakers were also asked to narrate a lifetime experience once in Azeri (Azeri- Azeri data) and once in Persian (Azeri-Persian Data). Persian-Azeri data is the type that is considered as the disguised data in this survey. The recorded data were then annotated in five tiers: segment, CV-segment, CV-segment interval, CV-interval and syllable. In order to control the effect of any unwanted variable, one minute (±5 seconds SD) of each sound file was extracted for further acoustic and statistical analyses. A Praat script, DurationAnalyzer, was used to automatically calculate the acoustic correlates of durational parameters of speech rhythm. These parameters are: %V (the proportion which speech is vocalic), ΔC (ln) (standard deviation of the natural-log normalized duration of consonantal intervals), ΔV (ln) (standard deviation of the natural-log normalized duration of vocalic intervals), nPVI- V (rate-normalized averaged durational differences between consecutive vocalic intervals) and syllable rate.  Results revealed there was a significant difference between the proposed types of data and that%V and syllable rate best discriminated between them; however, none of the above-mentioned parameters were significantly different between Persian-Azeri and Azeri-Persian data.
Dynamic adaptive system composition driven By emergence in an IoT based environment: Architecture and challenges

Applications provided by software intensive systems in an Internet of Things environment offer new business opportunities from the industry.An application describes the expected behavior of the software system. Thereby, the steps of a business process (e.g., event booking) are determined using objects from the Internet of Things environment at run-time. The system behavior is determined at run-time and described as a composition of software components based on service descriptions. These software systems can be developed as so-called dynamic adaptive systems. Therefore, developers define a structure based on software components of the system for an application from the system context at design-time. Then, the selection of software components instances by the system takes place at run-time. However, an Internet of Things environment changes its state constantly over life time and thus, the required structure of a software system can not be defined at design-time. Hence, applications of a dynamic adaptive system must be determined at run-time.In this paper, we introduce our vision of an emergent platform as an architecture for the development of a dynamic adaptive system. Such a system is capable of determining an application and compose a service based process that fulfills this application at run-time.Furthermore, we provide two Internet of Things scenarios and describe challenges on the basis of the scenarios which need to be tackled to enable the implementation of our architecture.
LEVEL OF KNOWLEDGE REGARDING NURSING INFORMATICS AMONG NURSES IN SELECTED HOSPITALS KANYA KUMARI DISTRICT

Nursing informatics is a field of integrating information and computer science with nursing to enable nurses to collect and manage data, process data into information and knowledge, and make knowledge based decisions about patient care. It is decisions about patient care. It is essentially the science and all of nursing data into information. A quantitative approach was adopted with descriptive design was used in this study. 20 nurses were selected through convenient sampling technique. The collected data were analyzed by using both descriptive and inferential statistics. The study concluded that the nurses had moderately adequate knowledge regarding nursing informatics.
Research on Face Recognition under Complex Illumination Conditions for Express Cabinet Applications

There are many hidden dangers in traditional identity verification methods in express cabinets such as false claiming and false taking. In this paper, face recognition technology is used to improve the security and efficiency of identity verification in express cabinet. Three deep learning networks based on SeetaFace model are used to realize face detection, face alignment and face verification. A Fust funnel cascade network is applied for face detection. A coarse-to-fine CFAN network is used to realize face alignment. And a VIPFaceNet network is used to achieve face verification. In order to estimate the influence of uneven illumination which is a major disturbance on face recognition, an adaptive gamma correction method (AGC) is proposed. Experiments on Yale B and a face database of our laboratory prove the efficiency of the strategy.