Reviewerly/exHarmony huggingface dataset:
Teacher as a Media Figure in Modern Higher Education: A Competence-Based Approach

The purpose of this study is the development of a qualitative evaluation of a teacher as a media figure in modern higher education within the framework of a competence-based approach. The leading approach in this study involves a combination of a systemic analysis of the issues of evaluating the competence of modern teachers in the higher education system with an analytical study of various aspects of modern media education. The results of this study lie in the identification of the primary models of media education for their further inclusion in the educational process, for the development of the necessary teacher's competences as a media figure in the modern higher education. The practical value of this study lies in the possibility of practical application of its results to develop an objective outlook on the evaluation of the teacher's role and functions as a media figure in modern higher education within the framework of a competence-based approach to the development of this evaluation.
Phishing and Advanced Persistent Threats

The paper addresses one of the techniques mor used by Advanced Persistent Threats attacks, phishing. The paper demonstrates the complexity of the technique, explains how attacks can be carried out, and presents defense techniques, and strategies against phishing attacks. The article also presents a summary description of what an Advanced Persistent Threat attack is. This description characterizes this type of attack.
Implementation of Winsorizing and random oversampling on data containing outliers and unbalanced data with the random forest classification method

Many researchers conduct research using the classification method, to find out the best method for predicting the class of an observation. Some of these studies explain that random forest is the best method. However, the classification of data containing outliers and unbalanced data is a complicated problem. Many researchers are also conducting research to deal with these problems. In this study, we propose a winsorizing to deal with outliers by replacing the outlier values with the upper and lower limit values obtained from the interquartile range method and random oversampling to balance the data. It is also known that cases of the Human Development Index (HDI) in regencies/cities in eastern Indonesia vary widely, so cases of HDI in these areas can be used as case studies of data containing outliers and unbalanced data. The purpose of this study was to compare the performance of the random forest before and after the data were applied to the winsorizing and random oversampling to predict HDI in districts/cities in eastern Indonesia. Classification method random forest after handling data containing outliers and unbalanced data has better performance in terms of accuracy and kappa values, which are 96.43% and 93.41%, respectively. The variables of expenditure per capita and the mean years of schooling are the most important.
Multi-objective optimization path planning with moving target

&lt;div align="left"&gt;&lt;span&gt;Path planning or finding a collision-free path for mobile robots between starting position and its destination is a critical problem in robotics. This study is concerned with the multi objective optimization path planning problem of autonomous mobile robots with moving targets in dynamic environment, with three objectives considered: path security, length and smoothness. Three modules are presented in the study. The first module is to combine particle swarm optimization algorithm (PSO) with bat algorithm (BA). The purpose of PSO is to optimize two important parameters of BA algorithm to minimize distance and smooth the path. The second module is to convert the generated infeasible points into feasible ones using a new local search algorithm (LS). The third module obstacle detection and avoidance (ODA) algorithm is proposed to complete the path, which is triggered when the mobile robot detects obstacles in its field of vision. ODA algorithm based on simulating human walking in a dark room. Several simulations with varying scenarios are run to test the validity of the proposed solution. The results show that the mobile robots are able to travel clearly and completely safe with short path, proving the effectiveness of this method.&lt;/span&gt;&lt;span&gt; &lt;/span&gt; &lt;/div&gt;
The Development of the Indonesian Culture Gunungan Design: Wayang Godhong “Smoking Violated”

This study explores the development of innovative wayang craft designs in Magelang, Central Java, Indonesia. This is necessary research because wayang functions as a medium of contextual communication between the puppeteer and an audience by transmitting the values of life through entertainment. However, it is rare to find all-night-long wayang performances currently; there is a considerable probability of this craft going extinct in the next few years. This is a research and development method. The type of research and development uses the ADDIE model. Data collection techniques were carried out through interviews, observations, and documentation of Wayang Godhong. The respondents were tobacco farmers and puppeteers in Magelang City, Central Java Province, Indonesia. The result led to the development of Wayang Godhong design which adopts the structures and shape of tobacco leaves. Despite the use of this leaf, the message “smoking is violated” is boldly written on its body. The researcher also implemented the Wayang Godhong product through a puppet show entitled “Smoking Violated” performed on youth and social activists in Magelang Regency. The message from the show is social criticism to the public of the prohibition on smoking in public places, which is still being violated. The results showed that the public accepted the Wayang Godhong performance and positively impacted public knowledge and awareness regarding the prohibition of smoking in public places.
Semi-supervised Contrastive Outlier removal for Pseudo Expectation Maximization (SCOPE)

Semi-supervised learning is the problem of training an accurate predictive model by combining a small labeled dataset with a presumably much larger unlabeled dataset. Many methods for semi-supervised deep learning have been developed, including pseudolabeling, consistency regularization, and contrastive learning techniques. Pseudolabeling methods however are highly susceptible to confounding, in which erroneous pseudolabels are assumed to be true labels in early iterations, thereby causing the model to reinforce its prior biases and thereby fail to generalize to strong predictive performance. We present a new approach to suppress confounding errors through a method we describe as Semi-supervised Contrastive Outlier removal for Pseudo Expectation Maximization (SCOPE). Like basic pseudolabeling, SCOPE is related to Expectation Maximization (EM), a latent variable framework which can be extended toward understanding cluster-assumption deep semi-supervised algorithms. However, unlike basic pseudolabeling which fails to adequately take into account the probability of the unlabeled samples given the model, SCOPE introduces an outlier suppression term designed to improve the behavior of EM iteration given a discrimination DNN backbone in the presence of outliers. Our results show that SCOPE greatly improves semi-supervised classification accuracy over a baseline, and furthermore when combined with consistency regularization achieves the highest reported accuracy for the semi-supervised CIFAR-10 classification task using 250 and 4000 labeled samples. Moreover, we show that SCOPE reduces the prevalence of confounding errors during pseudolabeling iterations by pruning erroneous high-confidence pseudolabeled samples that would otherwise contaminate the labeled set in subsequent retraining iterations.
AN ANALYSIS OF STUDENTS’ DIFFICULTIES IN SPEAKING ENGLISH AT TENTH GRADE OF SMA SWASTA NURUL IMAN TANJUNG MORAWA

This research is aimed to find out students’ difficulties in speaking English at tenth grade of SMA Swasta Nurul Iman Tanjung Morawa. This research is tried to find the students’ difficulties in speaking English, the cause of students’ difficulties in speaking English, and the solution of students’ difficulties in speaking English. This research was used qualitative method. The respondent of this research is the students class X-IIS 3 that consist 10 students. The respondent was chose by used purposive sampling technique. The data collected from the observation, interview, and questionnaire. The questionnaire used Linkert Scale that consists of 15 questions. The result of this research showed that the most from respondent have difficulties in speaking English. The students have difficulties in pronunciation, lack of grammar, difficult to memorize vocabulary, afraid to speak, shy to speak in front of the class, not confidence, and have no motivation in learning speaking English. Furthermore, the cause of students’ difficulties of the research that happened are the lack of grammar, lack of motivation, shyness, anxiety, and afraid making mistakes. The researcher also found the solution of students’ difficulties in speaking English, namely the students needed to condusive class, the new strategies from the teachen when teaching speaking English, and also the teacher must give more knowledge for the students.
Workings of science

Falsifiability is a cornerstone of science. It states that scientific claims---propositions, hypotheses, theories---must be testable by experiment. A scientific claim is falsified if an empirical test contradicts it; if a claim withstands repeated attempts at falsification, it is accepted as fact. This article discusses three examples of falsified theories about software. They address the reliability of multi-version programs, the prediction of program bugs by means of software metrics, and the advantages of software models (UML). These examples demonstrate how falsifiability can eliminate incorrect theories and help reorient research and practice.
INTERACTION OF UNIVERSAL AND REGIONAL SPECIALIZED MECHANISMS OF COOPERATION OF STATES IN THE FIELD OF EDUCATION

This thesis reveals the issues of state policy mechanisms, which can be considered as a set of procedures for making managerial decisions. At the same time, the educational policy includes not only the decision-making process but also its practical implementation. In addition, maintaining the existing system and its consistent development is of great importance. This allows us to speak of the mechanisms of educational policy as a set of organisational and economical components that ensure the coordinated, interconnected and interacting functioning of all elements of the educational system.
The Development of Electricity Board Learning Media with Running Light System Starter for Learning in Vocational High School

The students of grade XI of the Motorcycle Business Engineering of Vocational High School, who have learned productive subject matter in Motorcycle Engineering and Business, often experience difficulties when directly confronted with motorcycle practice media because the components are closed and hidden by the motorcycle's body cover. Therefore, a learning media which is easy to be learned by the students is essential. It means that all components can be observed clearly, and the material can be understood easily, both in theory and electrical practicum of the motorcycle starter system; the students will better understand the theory and assemble the motorcycle starter system circuit. The learning media for the motorcycle starter system is an electrical board with LEDs that can light up continuously or alternately, so it simulate the workings of the motorcycle starter system. In addition, the running LED simulation makes it easier for students to assemble a starter system. It also makes it easy and fast for students to identify, understand how it works, assemble a motorcycle starter system, and later, when facing practical materials in the form of motorbikes, students will be quicker to apply the material that they acquired from the learning media, so that, in practicum, students will work faster and minimize damage to motorcycles.
Penilaian Kenyamanan Termal pada Ruang Baca Perpustakaan Umum Kota Pekalongan

Evaluation of thermal comfort in the 1st and 2nd-floor reading rooms of Pekalongan City Public Library is to support the aim of designing a comfortable reading room that can increase people's reading interest. This study uses a quantitative approach defined descriptively and evaluatively. Direct measurement data in the morning and afternoon using a thermometer, hygrometer, and anemometer for four days. Data also uses a questionnaire. The collected data compares the measurement analysis results with recommended standards. The result shows that the reading room on the 1st floor was in the threshold and heat-comfort category, which was around 26℃ - 27.4 ℃, while the reading room on the 2nd floor was in the optimal comfortable category, which was around 24.7℃ - 26.4℃. The effective temperature of the 1st-floor reading room is higher than the 2nd floor. The final result shows that the room is in the less comfortable category because the air conditioner in the reading room is not as it should be appropriate.
An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates

We formalize and study the natural approach of designing convex surrogate loss functions via embeddings, for problems such as classification, ranking, or structured prediction. In this approach, one embeds each of the finitely many predictions (e.g. rankings) as a point in $R^d$, assigns the original loss values to these points, and "convexifies" the loss in some way to obtain a surrogate. We establish a strong connection between this approach and polyhedral (piecewise-linear convex) surrogate losses: every discrete loss is embedded by some polyhedral loss, and every polyhedral loss embeds some discrete loss. Moreover, an embedding gives rise to a consistent link function as well as linear surrogate regret bounds. Our results are constructive, as we illustrate with several examples. In particular, our framework gives succinct proofs of consistency or inconsistency for various polyhedral surrogates in the literature, and for inconsistent surrogates, it further reveals the discrete losses for which these surrogates are consistent. We go on to show additional structure of embeddings, such as the equivalence of embedding and matching Bayes risks, and the equivalence of various notions of non-redudancy. Using these results, we establish that indirect elicitation, a necessary condition for consistency, is also sufficient when working with polyhedral surrogates.
An Empirical Study of Post Covid19 Pandemic on Micro and Small Enterprises (MSEs) of Telework

Purpose:The purpose of this study is to examine the impact of flexible working options (FWO) on telework operations continuity (TOC), work-life balance (WLB), and telework work stress (TWS) in addition to understand the relationships between these constructs in the era of post COVID19.The importance of this study is to understand the way of micro and small enterprises (MSEs) in Saudi Arabia adapt to telework at post Covid19 pandemics examining the challenges and opportunities of teleworking.Design/Methodology/Approach: The study adopts a quantitative approach using a survey web-administered to 109 participants who used telework from MSEs.The conceptual model is tested with the partial least squares-based structural equation model (PLS-SEM) using SmartPLS. Findings:The results indicate that telework flexible working options affect operations continuity, however, it has not directed or indirect relation with work stress and work-life stability.Mainly, the opposite of studies conducted to assess that during the lockdown time.The result indicates that it has a positive relation with continuity of work, advancement creates fastest way of work.Study shows associations embraced telecommute procedure to improve the opportunities of fastest communication between the peers like using online tools so that no one left behind.Further recommended for future research to compare 3 phases: pre Covid, during lockdown and post Covid to understand the entire.
Performance study of the Memory Utilization of an Improved Pattern Matching Algorithm using Bit-Parallelism

The strategy of packing several data values in a single computer word and refreshing them all in a solitary operation is referred to bit parallelism. It assumes a significant part in pattern matching because it can handle in parallel the length of pattern sizes. In this paper, an Improved Pattern Matching model (IPM) proposed, which makes searching process quicker and decreases how much memory used in processing input data. C# was used for the development of the model. With a computer word size of 64bits and pattern length ranging from 8 characters to 72 characters, the system decides how much memory is used. The developed model was evaluated and contrasted with the existing model using 64bits computer word size (cws) and the pattern length of 72 characters. The assessment showed that the IPM had minimal worth of MU contrasted with the existing model (BNDM, SBNDM, and FSBNDM). This IPM model can be embraced for improvement of the size of string data stored in computer word because of its capacity to diminish memory space usage. w:LsdException Locked="false" Priority="51" Name="Grid Table 6 Colorful
Further results on the second relative greedy weight of 3-dimensional codes

The relative greedy weights were introduced in 2017 by Li and Liu. We will solve an open problem therein about the second relative greedy weight of 3-dimensional codes with respect to 1-dimensional subcodes.
Weighted Entropic Associative Memory: A case study on Phonetic Representation and Learning

Abstract The Entropic Associative Memory (EAM) holds declarative but distributed representations of remembered objects. These are characterized as functions from features to discrete values in an abstract amodal space. Memory objects are registered or remembered through a declarative operation; memory recognition is defined as a logical test and cues of objects not contained in the memory are rejected directly without search; and memory retrieval is a constructive operation. In its original formulation, the content of basic memory units or cells was either on or off, hence all stored objects had the same weight or strength. In the present weighted version (W-EAM) we introduce a basic learning mechanism to the effect that the values of the cells used in the representation of an object are reinforced by the memory register operation. As memory cells are shared by different representations, the corresponding associations are reinforced too. The memory system supports a second form of learning: the distributed representation generalizes and renders a large set of potential or latent units that can used for recognizing novel inputs, which can in turn be used for improving the performance of both the deep neural networks used for modelling perception and action, and of the memory operations. This process can be performed recurrently in open-ended fashion and can be used in long term learning. An experiment in the phonetic domain using the Mexican Spanish DIMEx100 Corpus was carried out. This corpus was collected in a controlled noise-free environment, and was transcribed manually by human trained phoneticians, but consists of a relatively small number of utterances. DIMEx100 was used to produced the initial state of the perceptual and motor modules, and for testing the performance of the memory system at such state. Then the incremental learning cycle was modelled using the Spanish CIEMPIESS Corpus, consisting of a very large number of noisy untagged speech utterances collected from radio and TV. The results support the viability of the Weighted Entropic Associative Memory for modelling cognitive processes, such as phonetic representation and learning, for the construction of applications, such as speech recognition and synthesis, and as a computational model of natural memory.
The Implementation of REST API in Multi-Platform Software Development for Food and Beverage Learning Application

This website-based food and beverage learning application is an educational application about food and drink. The problem was that information was more often accessed on smartphone devices, such as Android. The research method used was quantitative, so this research provides a concrete value for the optimal implementation of the REST API. The result obtained was that the website-based REST API application worked on multi-platform devices. With the implementation of this REST API, various devices can communicate with each other with the same source and data, so it does not cause multiple databases to store information.
The Impact of Job Insecurity on Job Performance through Job Engagement in Hotel Industry During Covid-19 Period

This study aims to examine the impacts of job insecurity and job engagement on job performance during Covid-19 in the hotel industry in Dili. The study also examines the mediation effect of job engagement on the relationship between job insecurity and job performance. Total employees of 272 of hotel industry were selected as sample, while SMART-PLS 3.0 was used to test the hypotheses. The results indicate that job insecurity and job engagement have significant impacts on job performance, while job engagement plays important role in mediating the relationship between job insecurity and job performance. The study contributes to enrich the theoretical implications of job insecurity, job engagement, and job performance. This research also provides practical implication for hotel managers to readjust strategies during Covid-19 period in order to retain employees.
THE USE OF BANDICAM APPLICATION AS TEACHING MEDIA TO ENHANCE STUDENTS’ WRITING SKILL

This research aimed to know whether the use of the bandicam application as a teaching media can enhance students' writing skill in SMAN 18 Makassar.This research focused on pre-experimental research one group pretest and posttest. The population of this research was the tenth-grade students of SMAN 18 Makassar at the first semester 2021/2022 academic year. The writer took of 270 students as population. The data were obtained from the writing text. The results of the research used inferential analysis of t-test by SPSS v.16, showed that there was a significant enhance in the students’ mean score writing skill between the pretest and posttest. The mean score of the students’ writing enhanced from 51.04 in the pretest to 79.95 in the posttest. The significance value calculated 0.000 is smaller than 0.05 (P-value = 0.000 &lt; 0.05). Therefore, the hypothesis of this study was accepted. It means that the use Bandicam Application As Teaching Media Can Enhance students writing skill at SMAN 18 Makassar. In addition, students' motivation after using this media also increased. The writer concluded that the use of Bandicam Application As Teaching Media in teaching English can enhance the students’ writing skill.
A Research on the Integration of Traditional Culture into College English Teaching Under the Background of “Internet +”

The advent of the era of “Internet +” has opened up a new channel for college English teaching and improved its quality. However, college students tend to overlook traditional culture as they place greater emphasis on learning English grammar, along with British and American cultures. Teachers should attempt to change students’ attitude in time [1]. College English teachers can utilize the high-quality English resources on the internet, create information-based courses, use micro courses to share British and American film clips, establish English associations, organize English poetry recitation, drama performance, and film dubbing activities, carry out English-Chinese translation training, improve students’ cross-cultural awareness, and ensure that traditional culture takes root in college English classes.