Reviewerly/exHarmony huggingface dataset:
Deriving Key Virtues of Personality Education by Development Stage Using Delphi Survey Method

The purpose of this study is to derive core virtues of personality education by the development stage recognized by incumbent teachers through the survey of Delphi experts of incumbent teachers.To this end, a panel of 40 incumbent teachers was formed and surveyed three times from March to August 2018.First, positive thoughts and audits were derived from key virtues of personality education recognized by infant teachers.Second, the key virtues of personality education recognized by elementary school teachers were self-esteem, listening and caring.Third, the core virtues of character education recognized by middle school teachers were empathy and consideration.Fourth, the core virtues of character education recognized by high school teachers were empathy, community consciousness and self-respect.Fifth, when comparing the characteristics of the core virtues of personality education derived from each stage of development, self-esteem was found to be a key virtue that is common in all stages of development.In addition, positive thoughts and self-esteem, which are the sub-core virtues of self-respect, were high for infants and elementary school students, while empathy, the sub-core virtues of self-respect, was high for middle and high school students, and there were a differences in development stages.Therefore, the research is expected to be used as basic data for personality education in the future and to develop personality enhancement programs based on core virtues of personality education at each stage of development.Above all, it will play an important role in shaping students' desirable personality.
A Salient Object Detection Algorithm Based on Region Merging and Clustering

Salient object detection has recently drawn much attention in computer vision such as image compression and object tracking. Currently, various heuristic computational models have been designed. However, extracting the salient objects with a complex background in the image is still a challenging problem. In this paper, we propose a region merging strategy to extract salient region. Firstly, boundary super-pixels are clustered to generate the initial saliency maps based on the prior knowledge that the image boundaries are mostly background. Next, adjacent regions are merged by sorting the multiple feature values of each region. Finally, we get the final saliency maps by merging adjacent or non-adjacent regions by means of the distance from the region to the image center and the boundary length of overlapping regions. The experiments demonstrate that our method performs favorably on three datasets than state-of-art.
A Theoretical Approach to Secure Medical Images by Combining Cryptography and Watermarking Techniques

Medical Imaging has remoulded the Healthcare system.It has become a vital tool for rapid diagnosis with visualisation of the interior of the body.Telemedicine is that the remote delivery of healthcare services over the telecommunication infrastructure.This paper aims at providing security to the medical images transmitted over public networks.It addresses the following traits of Medical Image Security namely: Confidentiality, Patient's control, Data Integrity and Consent Exception .The objective of the paper roots on providing theoretical ideas by combining Watermarking schemes with Cryptography techniques for developing enhanced security algorithms for transaction of medical images.The various parameters used for the measurement of the performance and effectiveness of the proposed algorithms such as Entropy, Number of Pixel Change Rate, Unified Average Change in Intensity, Correlation Coefficient, Mean Squared Error and Peak Signal to Noise Ratio are discussed.This paper provides a road map in constructing new algorithm by combining cryptography and watermarking technique for secure transaction of medical.
PECULIARITIES OF OPEN LEARNING IN MODERN EDUCATION

The article highlights the main tendencies of open learning as an innovative trend in modern education. The purpose of the work was to determine the features of the implementation of open learning, which are the fundamentalization of education, strengthening integration processes; creation and dissemination of innovations based on information and communication technologies; increasing the focus on the students’ motivation for learning, which is the core of their vital competence. It is proved that one of the effective forms of open learning is project-based learning, as gaining practical experience in combining lesson and extracurricular activities with emphasis on the natural interest of children. It is proved that open learning differs from general education with more specific life-oriented characteristics of motives, goals, means and results of educational, productive and creative activity, which act in relation to the student in the form of certain requirements. The principles of differentiated learning focus on the main ideas of content, the exclusion of auxiliary tasks and activities; monitoring students’ individual differences (e.g. learning style, knowledge, interests and level of training); flexible grouping of students by common interests, theme, or ability; objective evaluation according to the instructions; continuous assessment, reflection and correction of content, process and product to meet students’ learning needs. The results of the work are the attention of the general community on integration, project technologies, research, interactive methods, through which advanced learning is determined by effective innovation in education.
THE IMPORTANCE OF FLUENCY AND SELF-CONFIDENCE IN THE FIELD OF LEADERSHIP

The essential behaviours that directly affect the impression a leader makes on other people are considered to be an issue of vital importance.The manner in which fluency, selfconfidence, presence, authenticity, courage, passion and attitude are shaped and expressed represents the basis of leadership training and the infrastructure of efficiency when it comes to creating the desired impression as the leader interacts with his/her peers.
SENTIMENT ANALYSIS OF COVID-19 EPIDEMIC USING MACHINE LEARNING ALGORITHMS ONTWITTER -

As we know, On February 11, 2020, the World Health Organization declared the official name for the illness thatis causing the 2019 novel corona virus episode, first recognized in Wuhan China. More than 216 countries areinfluenced so far, raising worries of broad dread and expanding tension in people exposed to the danger of theinfection. In the 20th century, internet user's who are using social network platforms growing exponentially andgetting benefited in the form of information gathering coming from all over the world by using the social networkplatform like twitter. In the current scenario, many researchers/scientists are working on sentiments of text onsocial network data shared by internet or social network users. In the form of text (tweets) on the twitter platform,people from all over the world are sharing the challenges of this COVID 19 epidemic in their feeling or opinions.Tweets in the form of text shared on twitter, we extracted the sentiments of the text (tweets) and analyze thesesentiments by using the Machine learning algorithm. We can predict the positive, negative, or neutral sentiments(emotions) of the people affected by the COVID 19 epidemic. From, our analyzed sentiment of textual datashared on twitter. We can protect our friends, relatives, and followers on social networks from their depressive ornegative behaviour using some preventive measures for which working class peoples are being negative.
MODULAR INVERSE BASED SECURED DATA TRANSMISSION BY THE APPLICATION OF GRAPH THEORY

This paper considers Linear two-parameter eigenvalue problems in terms of matrix operators.Generally, for spectral analysis two-parameter problem is reduced into a system of generalized eigenvalue problems using a special pair of determinant operator matrices on tensor product space.In this work, some inequalities on numerical range and numerical radius of this special pair of operator matrices arising from two-parameter problem will be derived.
Adaptive Context-Aware Design Using Context State Information for the Internet of Things Paradigm

In the Internet of Things (IoT) paradigm, context state information plays a critical role in advancing the development of adaptive pervasive applications. Pervasive services and context-aware computing are emerging as the next computing paradigms in which infrastructure and services are seamlessly available anywhere, anytime, and in any format. The IoT paradigm raises new opportunities and demands on the underlying systems, in particular, the need to have systems that are adaptive and context-aware using context state information. In this paper, we introduce a new adaptive context state design technique to model context-aware applications that are sensitive to context state information changes. Each context change event is captured, interpreted and reacted to so that applications and users use only the functionality and adaptability needs that are solutions to their needs. The solution is modeled using Finite State Machine (FSM) and semantic localization so that context state information within the IoT paradigm is aligned to events. The semantic localization process precisely estimates the proximity location of the user along with the quality of context (QoC) attributes using the Bluetooth cell-based approach. This semantic information is useful in determining and inferring the user activities in a location. The QoC attributes are used to determine the confidence of the user location and range of the Bluetooth beacons within the IoT domain. This will, in turn, be used to determine whether the user is in the location or not. The alignment technique in our model represents the proper and new solution concerning functionality and adaptability needs expressed by other user applications in the IoT environment. The experimental scenario results indicate that a user can continue to enjoy their daily activities while the IoT application adapts continuously to their changing needs and notifying service providers of the changes according to the events of the user.
Predictive and perspective analysis of cancer image data set using machine learning algorithms

Undoubtedly, machine learning is becoming a daily reality and need of the hour.It is an application of artificial intelligence that provides a system the ability to automatically learn as well as improve from the past experience.In fact, it deals with the learning process in which machine tends to learn on its own without being explicitly programmed [1].With time, machine learning has evolved by gaining new momentum as a consequence of learning from big data.Evidently it has brushed up the ability to automatically apply complex mathematical statistics on big data with greater efficiency and speed.Nowadays, the techniques of machine learning are ushering in mental and cognitive ability and can change the world if used deftly and calculative to harness its power.
Complements to Gravity Theories

Gravity, electricity, magnetism and strong and weak nuclear forces form the fundamental energies and force fields for the organization of matter in the universe. All visible matter emits electromagnetic waves at specific frequencies; dark matter does not emit them. It is assumed, or else, that it can be formed by particles like the neutrino, which subtly interact with electromagnetic waves and with matter. Under the action of strong energy, the neutrino can theoretically reach speeds greater than that of light. Such an effect can occur when this particle becomes detached from electromagnetic interference, which is very difficult to observe. Sound also participates in the transport of matter and energy and can participate as the main means of coupling neutrinos and transmitting their information.
Study of Microbial Community of Hydrocarbon Impacted Sites of Bodo Oilfield, Ogoniland Rivers State, Nigeria

Hydrocarbon pollution has greatly altered the normal microbial flora of our environments; this has led to the succession of hydrocarbonoclastic microbes in oil impacted sites.This study is a comparative study of the microbial flora of hydrocarbon impacted site of Bodo oilfield and the non-impacted site in Ogoniland.A total of 12 samples were collected, 6 from the oil impacted site, and 6 from the non-impacted site.The sample were coded A -F.The physicochemical parameter of soil was determined, the microbiological examination was conducted to determine the bacterial and fungal communities present at each site.The result shows that higher population of oil-degrading microorganisms were found on the hydrocarbon impacted site, prominent among them were Micrococcus, Acinetobacter, Corynebacterium, Bacillus, Pseudomonas, Flavobacterium, Actinomycetes, fungi isolated from impacted sites includes Candida, Rhizopus mucor and Aspergillus, while the non-impacted site has: streptococcus, staphylococcus, E.coli, and Actinomycetes species.There were also fungal isolate of which only Candida was the only isolate.A microbial growth ranges between 1.1 x 103 to 9.1 x 103 CFU/ml.
THE EFFECTIVENESS OF FOOT CARE EDUCATION VIDEO IN MAKASSAR LANGUAGE TO INCREASE PATIENTSâ€™ KNOWLEDGE RELATED FOOT CARE IN COMMUNITY

Uncontrolled Diabetes Mellitus (DM) causes chronic complications, such as Diabetic Foot Ulcers (DFU). This complication could be prevented by foot care education using video. However, in terms of providing this information, the delivery technique using the language approach is one that needs attention, especially for people with Diabetes Mellitus who spoke traditional languages. This study was pre-experimental quantitative research with a one-group pretest-posttest design. The instrument used in this research were 10 question items questionnaire and a foot care education video lasted 5 minutes 15 seconds. The results revealed that 36.7% of respondents showed good knowledge, 56.7% moderate knowledge, and 6.7% poor knowledge. Meanwhile, after providing education, respondents having a good knowledge increase to 90%, respondents having moderate knowledge increase to 10%, and no respondent having poor knowledge. In conclusion, there is a significant improvement in the foot care of patients with DFU after receiving an educational video with traditional languages. Therefore, the strategy of providing video education using traditional language needs to be integrated into the promotive program.
Students’ psychological readiness for research or what the Belgorod SAU students are like

Research activity is an integral part of anyone’s life, as everyone studies at school, and later at vocational school, college, institute, academy, or university. Our paper discusses students’ psychological readiness for research activities. While striving to obtain a higher education, a student may demonstrate various abilities, and, specifically, their capacity to conduct research activities, which are a significant part of independent work and a means to develop competences promoted by the academic subjects. Involvement in research projects in the early years of instruction contributes positively to the development of psychological readiness for research at further stages of education and career. A number of researchers note that a university student’s level of readiness for research can be viewed as an objective indicator of his or her professional competitiveness. Research activity at university is an integral part of students’ academic activity, and it is also a useful component for their professional training for the future. While studying the market requirements for university graduates, it transpires that employers give preference to the candidates who have a high level of motivation and creativity, which form the potential for success. It is suggested that individuals with a high level of readiness for scientific research activities retain such potential in the future, which makes it possible for them to be self-reinforcing and self-sufficient in any sphere of professional activity. The authors conclude that it is natural that the professional activities of a teacher and a research advisor, who contribute to the successful development of the students’ research skills and psychological readiness for research both in the educational process and in professional activities, play a special role in the development of such readiness.
Efficient Dynamic Scheduling Algorithm for Performance evaluation of Workflow in cloud Environment

As of late, distributed computing has been under a creating innovation as a potential answer for giving a flexible, on request figuring foundation for applications.The most testing issue looked by distributed computing is Workflow Scheduling.As, workflow planning is actualized on networks and groups however it shows significant downside, for example, virtual machine execution inconstancy and occasion securing delay.The common framework additionally neglects to either meet the client's Quality of Service (QoS) necessities or to incorporate some essential standards of Cloud registering like flexibility and heterogeneity of the figuring assets.The proposed framework comprises of a dynamic scheduling algorithm for calculation for planning a work process in an open Cloud.This procedure comprises of the preferences offered by the distributed computing for asset the board in IT division by actualizing this calculation to oversee and allot the assets by planning the cut-off times of changed undertakings of significant tasks in IT industry, for example, examination , structure ,usage ,testing, sending and upkeep with less cost .The proposed technique likewise gives the presentation assessment of a representative by breaking down his participation, input from administrator and their partners upheld his work.
ANALISA KEKUATAN RANGKA DUDUKAN CYLINDER HIDROLIK

- The basic elements of the scissor mechanism &amp; structure can be used to make a lot of modelling of structure and function of the motion. Scissor lift mechanism was considered more powerful and secure than pulley mechanisms of imposition. From this research, it is known that there is failure of the cylinder holder frame structure which causes the occurrence of deflection and on beam. The methods used in this study is static analysis to find out the distribution of Von Misses Stress on design/modelling until getting the Factor of Safety. The results of this research are obtained the quantities of the maximum factor of safety 1,65 with a maximum stress of the material 151,8 N/mm2 and the yield point of the material is 250 N/mm2. The conclusions of the results show that the material used is safe because the standard factor of safety for static load above 1 and the material design used is still meet the safety factors.
Information quantifiers for trapped ion in a carrier excitation laser field

The laser field interacting with single trapped ion in a carrier excitation frame in the presence of an external field is investigated. Detailed analytical expressions are given, taking into account carrier excitation configurations. We study the evolution of the population inversion, fidelity, ion-field entanglement, Fisher information and the geometric phase. The results indicate the influence of the external field on the information quantities to describe some physical phenomena. The relation between the population inversion, fidelity, von Neumann entropy, Fisher information, and geometric phase are explored during the time evolution.
PENERAPAN MODEL PEMBELAJARAN DISCOVERY LEARNING DENGAN MEDIA KONKRET UNTUK MENINGKATAN PEMBELAJARAN MATEMATIKA TENTANG BANGUN RUANG PADA SISWA KELAS V SD NEGERI 2 LEMBUPURWO TAHUN AJARAN 2018/2019

&lt;p&gt;&lt;em&gt;This study aims to improve mathematics learning outcomes about solid figures. This research is a collaborative Classroom Action Research (CAR) conducted in three cycles. The subjects are the teacher and the fifth grade students. Data collection techniques use observation, interviews, and tests. Data validity uses content validity, technical triangulation, and sources. Data analysis includes data reduction, data presentation, and drawing conclusions. The results indicates that the application of the Discovery Learning learning model can improve mathematics learning about solid figures in fifth grade students of SDN 2 Lembupurwo.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
Historical-Scientific Schools Of Management Of Culture And Art

This article deals with the historical and scientific schools of culture and art administration.The first past of mankind, the first material and spiritual, cultural centers were formed in the East and prepared the ground for the further development of mankind [1.239].The cradle of enlightenment in the ancient East.There is a philosophy of common features and values that unite it as a whole.Since Uzbekistan is an integral part of the East, The ingenuity of the peoples of the East, the desire to make the necessary decisions in the current situation, the purpose of human life -to be an example in labor, to avoid evil, it can be seen that spending a once-in-a-lifetime life on good deeds has become a criterion for life.
Arche i arte. Prymarny dualizm z ducha muzyki

The arche–arte dualism (concrete–abstract) is fundamental and basic, due to its universality and comprehensive generative function. This duality characterizes our actions in every dimension, and is thus necessarily involved in cognitive and creative acts. The “arteic” includes the categories of consciousness, consideration, calculation, ordering, knowledge, intellect, and artificiality. On the other hand, the “archeic” refers to that which is, in us, subconscious, eternal, primordial, innate, instinctive, and natural. When this basic duality is posited at the outset, it furnishes an analytical‑interpretative‑synthesizing tool that can be applied to diverse facts. The omnipresence and explanatory potential of the arche‑arte dualism are illustrated through musical examples. The dual nature of sound is thereby revealed to be a structural model for the subconscious sensations that music evokes in us.