Reviewerly/exHarmony huggingface dataset:
2d To 3d Conversion with Combined Texture Features Anddisparity Mapping

Image processing is a strategy to change over a picture into advanced structure also, play out specific tasks on it, in order to get an upgraded picture or to extricate some profitable information from it. The transformation procedure of existing 2D pictures to 3D is financially feasible and is satisfying the development of high caliber stereoscopic pictures. A disparity map maybe live of however totallydifferent 2 pictures areaunit, however far similar edge/corner/feature points area unit from one image to another.This idea executes the plan of the programmed 2D to 3D video shading transformation utilizing 2D video and grouping is displayed. The examined structures epitomize along procedure of neighboring casings abuse the ensuing procedure: CIELa*b* shading space transformation, wavelet change (WT) with edge location utilizing HF wavelet sub-groups (HF, LH and HH) or pyramidal plan, shading division through k-implies on a*b* shading plane, up-testing in wavelet case, dissimilarity map (DM) estimation at long last, the dissected 3D scene age.
Penerapan Data Mining Dalam Menentukan Kelayakan Penerima Bantuan Sosial Pemko Dengan Algoritma C4.5 (Kasus Kantor Kelurahan Martoba)

Social assistance, commonly known as Bansos, is a government program charged by the Regional Revenue and Expenditure Budget. According to the general provisions of article 15 of the Ministerial Regulation Number 32 of 2011 concerning the Provision of Subsidies and Social Assistance in the Regional Revenue and Expenditure Budget, the definition of social assistance applies to the provision of individuals, families, community groups that are unsustainable and selective in nature to prevent possible social risks. The Pematangsiantar City Government provides various kinds of assistance programs, one of which is the PEMKO Social Assistance which is distributed by the Martoba Village Office. In the selection process to determine the recipients of PEMKO Social Assistance at the Martoba Village Office, they still have not fully used information technology to support employee performance. So there are obstacles and it takes a long time. Therefore, we need a system that can help employees more easily determine beneficiaries. Application of Data Mining is a series of processes to find added value semi-manually in the form of unknown knowledge from a data set. In this study, it has parameters, namely, the number of dependents, work, income and home status. By applying the Data Mining Algorithm C4.5, it is hoped that it will make it easier and faster for employees to determine the recipients of PEMKO Social Assistance at the Martoba Village Office
TEACHERS’ QUESTION BASED ON HOTS (HIGHER ORDER THINKING SKILLS) AT GRADE XI STUDENT AT SMKS 2 PRAYATNA MEDAN

TEACHERS’ QUESTION BASED ON HOTS (HIGHER ORDER THINKING SKILLS) AT GRADE XI STUDENT AT SMKS 2 PRAYATNA MEDAN *Muhammad Hamdi Ali Hakim. **Prof. Dr. Sumarsih, M.Pd. **Rika, S.Pd., M.Hum. ABSTRACT Hakim, Muhammad Hamdi Ali.Registration Number: 2153121024. Teachims’ Question Based On Hots (Highim Order Thinking Skills) at Grade XI Student at SMKS 2 Prayatna Medan. A Thesis. English Education Study Program, Medan State University, 2020. In learning progress, question take an important part, questions as the bridge between student and teachim which is connecting both of them to make the atmosphere in the classroom more active and meaningfull. Question also have been used as a tool to evaluate the student knowledge.Teacher usually use examination to evaluate students skill especially in final examination. This research is focused on the importants of reading skill of higher order thinking skill. The objective of this research is to find empirical evidence of the distribution of thee higher order thinking skill based on the Bloom’s Taxonomy in reading qustions. The researcher used analysis method because the researcher identifies specified characteristics of the material in the examination paper. Furthemore, the data collected are qualitative data because the data are collected in the form of words, which are the reading questions. The reading question in school final examination used as data. The result of distribustion of highim order thinking obtains 10 of 23 reading question with 7 analyze, 3 Evaluate and 0 Create. The composisiton of higher order thinking skill in final examination quite low. Keywords: question, reading, bloom’s taxonomy, higher order thinking skill
Toward quantum chemical calculations of open shell molecules on quantum computers

Rotaxanes are supramolecular assemblies under the category of mechanically interlocked molecular architectures (MIMAs) 1 .They are made up of at least two molecules, a ring and shaft that are mechanically interlocked.The shaft is terminated with bulky end groups to prevent dethreading of the ring.In a switchable rotaxane, the complex "switches" between favored co-conformations when supplied an external stimulus that is reversible.This switching is accompanied by a mechanical motion 1 .Switchable rotaxanes are good candidates for molecular machines since they can undergo co-conformational isomerism with an external stimulus to produce mechanical motion. Structure and Binding SitesIn this study, an acid-base switchable [2](2)rotaxane, as reported by Li et.al. 2 , was modeled to determine the force generated upon the switching between the co-conformations when given an acid or base.The shaft contains four binding sites, two dibenzylammonium (DBA) and two N-methyltriazolium (MTA) while the ring contains two crown ethers that are connected by an anthracene.The base needed for deprotonation is DBU while the acid needed for protonation is TFA.The switching that occurs can serve as a fundamental element of a "molecular muscle".
Understanding and Studying Internet Culture by the Tool of Internet Language

Language is a tool for understanding culture.The internet culture studied in this paper, as a heated research cultural category, not only has an impact on the internet social space and on the real society.Some studies have recognized and put forward that while internet language is an important part of internet culture, it can also be used as a tool to better understand internet culture.After people acquire internet language, they communicate their emotions and thoughts through internet language, thus achieving a wide range of social emotional communication, which has also become the reason for the diversity of internet culture.The purpose of this paper is to explore the internet language for the understanding of internet culture.To achieve this goal, the paper collects the speeches of relevant objects on various social media, such as Facebook, Twitter and Instagram, and sort them into text analysis.
Media Relations Video Learning and Motivation to Learn The Skills of Writing Poetry In Class X high School Private Bodhicitta Medan The Academic Year 2021/2022

This study aims to determine the relationship of instructional media fucking with the skills to write poetry, the relationship of motivation to learn the skills of writing poetry, and determine the relationship of media video learning and motivation learning together with writing skills of the poetry of the students of class X Private high school Bodhicitta Medan academic year 2021/2022. This research was conducted in SMA SwastaBodhicitta Terrain of Class X of a population of 78 people, and the number of samples is overall the students of class X amount to 78 students with the use of quantitative methods as well as data obtained using the instrument questionnaire and documentation. Data analysis using the t test (t-test) for the correlation sderhana and the F test (F-test) for the multiple correlation. These findings indicate: 1). The t value to the variable (X1) with (Y) = 0,012 with the t table at a significance level of 5% = 1,984. 2). The t value to the variable (X2) with (Y) = 1,259 with the t table at a significance level of 5% = 1,984. 3). Calculated F value for the variable (X1) and (X2) together with (Y) = 1,09 with the F table at the significance level of 5% = 3,087. The conclusion of this study explain that the absence of a positive relationship and significant correlation between learning media fucking with the skills to write poetry students and the absence of a positive relationship and significant correlation between learning motivation with the skills to write poetry students, as well as the absence of a positive relationship and significant between media video learning and motivation to learn the skills of writing poetry class X Private high school Bodhicitta Medan academic Year 2021/2022
The Social Public Issues Analysis Model Based on Deep Learning

To improve the governance effect of public communities and protect community security, combined with the basic principles and network structure of CNN network in deep learning, a community security risk prediction model based on improved single-channel CNN network and decision tree is constructed. The experimental results show that expanding the single channel to the multichannel network greatly extends the receptive field of CNN network. Simultaneously, the accuracy of the prediction model is improved, which is as high as 87.7%. After inputting the output values of every single model into the comprehensive model, the prediction accuracy of the comprehensive model is improved by 4.8%. The feasibility and effectiveness of this method are further demonstrated.
Strategy to Strengthen Teachers’ Digital Competence

This study explores the strategies implemented by SMA Yabakii II to improve teachers' digital competence.This study uses a qualitative approach with the type of case study.The research instrument is the researcher himself.Data collection techniques used were in-depth interviews, participatory observation, and documentation.The research subject is the principal, and the teacher is snowball.The key informant in this study was the principal.The steps and data analysis used the Creswell (2014) model.The validity of the data is carried out with the criteria of credibility, transferability, dependability, and confirmability.The results of the study found that increasing teacher digital competence included; (1) Holding laptop meetings, (2) Internal IT training, and (3) Awards.This strategy can be a reference for other schools to improve teacher digital competence so that digital skill strengthening can be comprehensive for teachers and the quality of students.
The Effect of Specific Learning Objectives on Children’s Game-based English Learning

Aiming at the problems of classroom teaching students in children's second language acquisition, such as mobility, visualization and age-appropriate, this paper puts forward the classroom practice method of Scaffolding Teaching Method Based on ZPD educational thought, discusses the application of children's English game teaching in children's second language acquisition classroom teaching, and makes children more interested and motivated in mastering the second language through vocabulary practice Active second language acquisition learning, from the establishment of second language thinking mode as the internal purpose of the actual teaching behaviour.So as to make the teaching of children's second language acquisition achieve a more effective direction of teaching practice.
The effect of the antisaccade task on microsaccade supression in the Posner cueing paradigm

Technical progress and rapidly changing social environment cause the increase in number of negative factors influencing a person, which adversely impacts the individual's emotional health.Current study relevance arises from the complex relationship between forgiveness readiness level and individual's emotional wellbeing, as well as heterogeneous interpretations of the causes and the manifestations of this relationship which requires new research strategies and appropriate psychological tools.Based on the analysis of the concepts: forgiveness, emotional well-being and emotional intelligence and the study of the forgiveness phenomenon, we believe that emotional awareness and empathy are among the main forgiveness formation mechanisms.
Повишаване равнището на математически знания на учениците в първи клас чрез работа със самостоятелно събрани данни

Over the last decade, in terms of the learning process, methodologists and educators have been actively looking for a variety of means to motivate students' cognitive activity. This is related to the development and application in teaching practice of new approaches and didactic systems. This article examines the possibility of increasing the level of acquisition of mathematical knowledge by first grade students by applying the technique of “independent data collection” in the learning process. The knowledge of first grade students who have mastered the curriculum in mathematics with the help of independent research is diagnosed, establishing the effect of this activity on the level of mathematical knowledge.
EMSS: New EM-type algorithms for the Heckman selection model in R

When investigators observe non-random samples from populations, sample selectivity problems may occur.The Heckman selection model is widely used to deal with selectivity problems.Based on the EM algorithm, Zhao et al. ( 2020) developed three algorithms, namely, ECM, ECM(NR), and ECME(NR), which also have the EM algorithm's main advantages: stability and ease of implementation.This paper provides the implementation of these three new EM-type algorithms in the package EMSS and illustrates the usage of the package on several simulated and real data examples.The comparison between the maximum likelihood estimation method (MLE) and three new EM-type algorithms in robustness issues is further discussed.
Cigarette Expenditure and Its Effect on Human Resource Investment Allocation

This study aims to analyze the expenditure of cigarettes on human resources.Human resource investment is measured using education and health spending.The model is based on an analysis of previous studies that show a bad effect of smoking on health and achievement.Until now, cigarettes still existed and can be consumed freely.However, on the other hand, several studies have shown the bad influence of cigarettes on the quality of human resources.Therefore, the author will discuss the issue of the relationship between cigarette spending and human resources in smokers' households.The authors use IFLS data to estimate the effect of cigarette spending on education spending and health spending.The data used are data from 2007 and 2014.The characteristics of the observed households are the same households in 2007 and 2014.Next, the authors estimate the model using OLS and FIXED.The results show that households with more cigarette spending will reduce spending on education.To find out more, the author makes two models based on the location of residence.More specific results show that household cigarette spending in rural areas will push health spending.
ISTL is Still Exceptional, in More Ways Than One

A former editorial board member (Viewpoints Editor, 2000-2020; Refereed Articles Editor, 2016-2018) looks back on two decades of board membership, and discusses trends in Open Access (OA) publishing in STEM librarianship. Journals like ISTL are still the exception rather than the norm.
Modern means of communication in professional education

The purpose of the article is analysis of communication tools implementation in vocational education. In the course of scientific research, relevant means of communication were identified. The analysis of students' thesaurus development shows effectiveness of chosen educational tools and means in the process of professional training. Modern means of communication expand possibilities of professional training of students. Students must be ready to perform team activities, learning to conduct a professional dialogue in order to achieve the set goals.
Investigation on the Correlation of Interval Time Between Waking Up and Last REM, and Clarity of Dream Recalls

When people wake up from a long night sleep, dreams are memorized, sometimes forgotten.What are the factors that influences the clarity and quality of dream recalls when people wake up?Data were collected from the author himself using EEG, survey and introspection.Totally 7 nights of data were collected for this investigation.The results demonstrated borderline negative correlation among the level of clarity of dream recall and the time interval between last REM and wake up.Results showed that the closer one woke up from REM sleep, the clearer the dream was recalled.Further improvement can be made on the variety of participant chosen and other possible factors that influence the clarity of dream recall.
Digital board game design for an English vocabulary learning tool while learning from home

English language learners often comment that learning English vocabulary is a challenge due to spelling, pronunciation, parts of speech, and a variety of meanings.Over the years, using educational games for classroom activities has been a popular and effective way to teach since it brings fun and relaxation, creates a friendly environment for competition, and keeps learners interested in learning.Therefore, this research aims to develop a digital learning tool called SQUARE TALKS!, a digital board game for English vocabulary learning focusing on the design phase involving language experts, game designers, and software developers.This current research explores the design phase from the game designers' perspectives.Qualitative methods are used in this research since the research does some observations and content analysis for data collecting.The results of the game development phase covered four aspects: narration, mechanic, aesthetics, and technology.The digital game prototype is envisioned to be an alternative learning tool to use game-based learning to assist learners and teachers during the recent COVID-19 pandemic situation.
Implementation of Moving Object Tracker System

The field of computer vision is increasingly becoming an active area of research with tremendous efforts being put towards giving computers the capability of sight. As human beings we are able to see, distinguish between different objects based on their unique features and even trace their movements if they are within our view. For computers to really see they also need to have the capability of identifying different objects and equally track them. This paper focuses on that aspect of identifying objects which the user chooses; the object chosen is differentiated from other objects by comparison of pixel characteristics. The chosen object is then to be tracked with a bounding box for ease of identification of the object's location. A real time video feed captured by a web camera is to be utilized and it's from this environment visible within the camera view that an object is to be selected and tracked. The scope of this paper mainly focuses on the development of a software application that will achieve real time object tracking. The software module will allow the user to identify the object of interest someone wishes to track, while the algorithm employed will enable noise and size filtering for ease of tracking of the object
Job Scheduling Based on Dependent and Independent Task using Particle Swarm Optimization

Mobile Cloud Computing is an accumulation of both Cloud Computing and Mobile Computing. In cloud computing resources are deployed to a client on-demand basis. Mobile cloud computing is similar to cloud computing except that some devices involved in mobile cloud computing should be mobile. The demand for MCC has been increasing due to its scalability, reliability, high QOS (Quality Of Services), longer battery life, large storage capacity. Mobile cloud computing aims to take benefit of limited resources provided by a cloud provider. Task scheduling is a major concept involved in executing a task. In cloud computing job scheduling is required to execute each job without any deadlock. But the scheduling of dependent tasks is a problem in cloud systems. This problem is an NP-complete problem and can be solved using various heuristic and meta-heuristic approaches. These approaches give high-quality solutions with reasonable execution time. Particle Swarm Optimization (PSO) is one of these meta-heuristic approaches that solve the problem of grid scheduling. In this paper, we address the problem encounter in dynamic scheduling. In dynamic scheduling, each task has its own deadline completion time. The task that arrived earlier in the system occupied the resources first and later arrived tasks are rejected because their execution time exceeds the deadline. In this paper, we proposed PSO with a variable job identifier that identifies independent and dependent tasks from the population. The particles are arranged with a grid dynamically and influence swarm to minimize execution time and waiting time simultaneously. The experimental studies show that the proposed approach is more efficient than other PSO based approaches as described in the literature.
CLASSROOM MANAGEMENT, ACADEMIC LOCUS OF CONTROL, AND COMMUNICATION COMPETENCE: A STRUCTURAL EQUATION MODEL ON LANGUAGE LEARNING ATTITUDES

This research aimed to establish the best-fit structural model for learning the Filipino language. Specifically, the study intended to determine the relationship between the exogenous variables: classroom management, academic locus of control, communication competence, and the endogenous variable: language learning attitudes. Four hundred respondents, chosen through stratified random sampling, took the survey. The mean, Pearson r, regression analysis, and structural equation modeling (SEM) analyzed the data. These are the results: both exogenous and endogenous variables have high levels, the relationship between classroom management, academic locus of control, and language learning attitudes are moderate, positive, and significant. However, communication competence did not substantially affect language learning attitudes. Of the three exogenous variables, the academic locus of control has the most influence on language learning attitudes. The structural equation modeling (SEM) result showed all three exogenous variables as predictors of language learning attitudes, with their manifest variables. For example, classroom management manifested by specific teaching strategy and planning and support; academic locus of control demonstrated by being hopeful, being positive, and better planning; communication competence exemplified by communicating with acquaintances and friends. The findings of this study have insinuations for the overall teaching and learning environment. KEYWORDS: structural equation modeling, classroom management, academic locus of control, communication competence, language learning attitudes
CONSUMERS’ PERCEPTION TOWARDS BANK ADVERTISING AND ITS’ IMPACT ON CONSUMER DECISION MAKING

This paper aims to find out the consumers' perception towards bank advertising & advertisements and its impact on consumer purchase decision.Study is based on exploratory and descriptive research.A structured questionnaire is administered to know the perception of consumers towards bank advertisements.A total of 289 respondents participated in the study.The results show that the respondents consider advertisements as a valuable source of information.The findings suggest that advertisements create a positive impression on the minds of customers and are necessary for the bank to market its services.Consumers 'perception towards bank advertising is fairly positive and agreed to the role & importance of advertising for consumers' and the economy.The study revealed that advertising is not the only factor which influences a consumer in selecting a bank.