Reviewerly/exHarmony huggingface dataset:
Tracing English Proficiency of Alumni in Supporting Their Career

This study was designed to investigate the English proficiency of Alumni in supporting their career. Sources of data from this study were 802 alumni of Universitas Muria Kudus graduated in 2018 and 115 alumni users who came from companies, government offices, and schools. They filled out a standardized questionnaire from Higher Education Ministry (DIKTI,2017) which was used as an instrument. The results of the analysis show that most alumni regard that English proficiency has much benefit for them to get a job or promoting their career in working place. From skills in English, Speaking becomes the most skill which needed in working place or confirmed by interviewers when alumni have interview test. Furthermore, this study found that alumni users put significant role for foreign language skill (English) of alumni. Users believe that English proficiency of alumni is in good level. However, some users in different working places conclude differently by assessing the alumni English proficiency into Fair category. This can be caused by the kind of working place also affects their English skill, the frequency in using it for working activities, the English atmosphere built by the working place can be an encouragement for alumni to improve their English proficiency. Keywords:Study of Tracing, English Proficiency, Alumni, and Career
Comparison of E-learning and Classroom Training for Bachelor Students of Traditional Medicine

This paper describes a test and case study of self-evaluation of online courses during the pandemic time. Due to the Covid-19, the whole world needs to sit on lockdown in different periods. Many things need to be done in all kinds of business including education sector of countries. To sustain the education development, teaching methods had to switch from traditional face-to-face teaching to online courses. The government made decisions quickly, and educational institutions had no time to prepare the materials for online education. All classes of the Mongolian University of Pharmaceutical Sciences switched to online lessons. Challenges were raised before professors and tutors during online teaching. Our university did not have a specific learning management system for online education and e-learning. Therefore, professors used different platforms for their online instructions, such as Zoom and Google meet. Moreover, different social networking platforms played an active role in communication between students and professors. The situation is challenging for professors and students. To measure the quality of online courses and figure out the positive and weak points of online teaching, we need to evaluate e-learning.
UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection

The real-world impact of polarization and toxicity in the online sphere marked the end of 2020 and the beginning of this year in a negative way.Semeval-2021, Task 5 -Toxic Spans Detection is based on a novel annotation of a subset of the Jigsaw Unintended Bias dataset and is the first language toxicity detection task dedicated to identifying the toxicity-level spans.For this task, participants had to automatically detect character spans in short comments that render the message as toxic.Our model considers applying Virtual Adversarial Training in a semi-supervised setting during the fine-tuning process of several Transformerbased models (i.e., BERT and RoBERTa), in combination with Conditional Random Fields.Our approach leads to performance improvements and more robust models, enabling us to achieve an F1-score of 65.73% in the official submission and an F1-score of 66.13% after further tuning during post-evaluation.
Information Bottleneck Analysis by a Conditional Mutual Information Bound

Task-nuisance decomposition describes why the information bottleneck loss I(z;x)−βI(z;y) is a suitable objective for supervised learning. The true category y is predicted for input x using latent variables z. When n is a nuisance independent from y, I(z;n) can be decreased by reducing I(z;x) since the latter upper bounds the former. We extend this framework by demonstrating that conditional mutual information I(z;x|y) provides an alternative upper bound for I(z;n). This bound is applicable even if z is not a sufficient representation of x, that is, I(z;y)≠I(x;y). We used mutual information neural estimation (MINE) to estimate I(z;x|y). Experiments demonstrated that I(z;x|y) is smaller than I(z;x) for layers closer to the input, matching the claim that the former is a tighter bound than the latter. Because of this difference, the information plane differs when I(z;x|y) is used instead of I(z;x).
Exploring Apology Strategy by Indonesian Public Figures: A Pragmatic Study in Social Media

&lt;p class="5AbstrakIsi"&gt;Public figures tend to use social media platforms to apologize in public&lt;del cite="mailto:Author"&gt;&lt;/del&gt; due to its practicality and effectiveness. Although public apology as a social phenomenon has been extensively studied in the English-speaking world, Indonesian public apologies have less attention from linguists and management scientists. This paper examines the speech act of apologizing made by Indonesian Public Figures in 2020 by analyzing &lt;ins cite="mailto:Author"&gt;&lt;/ins&gt;videos collected from YouTube. The data of the study was analyzed based on Murphy’s framework of formulate (2015). Findings include &lt;ins cite="mailto:Author"&gt;that Indonesian public figures prefer all&lt;/ins&gt; three categories of apology strategy: explicit, conventional-indirect, and non-conventional-indirect strategies. Mover, explanation, account, or excuse become the most frequent used to express their apology. It was then followed by expression of lack of intent and statement of repair.&lt;/p&gt;&lt;p class="5AbstrakIsi"&gt; &lt;/p&gt;&lt;p class="6katakunci"&gt;&lt;strong&gt;Keywords:&lt;/strong&gt; Pragmatic, Apology, Indonesia, Youtube, Public Figures&lt;/p&gt;&lt;p class="6katakunci"&gt; &lt;/p&gt;
A Content-Based Viewport Prediction Model

Viewport prediction technologies are often used by most popular adaptive 360-degree video streaming solutions. These solutions stream only the content considered as being more likely to be watched by the final user, with the goal of reducing the volume of network traffic without compromising the user’s Quality of Experience (QoE). In this paper, we propose the Most Viewed Cluster algorithm (MVC), which is a hybrid viewport prediction method. It estimates the user viewport using two types of information: (i) the path of moving objects in the scene and (ii) the viewing behavior of previous users. Preliminary results show that MVC yields good results for long-term predictions.
The role of money in employees’ life: Connection with psychological characteristics of the company staff

In the course of empirical research, a connection was established between the psychological characteristics of employees (social-psychological attitudes, job satisfaction and life satisfaction) and their assessment of the role of money in their lives. There is a positive statistically significant relationship between such social-psychological attitudes of company staff as the focus on “result”, “selfishness”, “freedom”, “power”, “work” and their assessment of the role of money in life (as the degree of such social and psychological attitudes increases, the staff's positive attitude to the role of money in life is growing). At the same time, the most complete assessment of the role of money (positive assessment on most indicators) in the lives of staff is provided by such social and psychological attitudes as “power orientation” and “work orientation”. In addition, a negative statistically significant relationship was found between such attitudes as focus on “process”, “altruism”, “money” and assessment of the role of money (as the degree of such attitudes increases, a positive attitude towards the role of money in life is reduced on most indicators). There is also a statistically significant relationship between job satisfaction and life satisfaction of the staff and their assessment of the role of money. It was found that the assessment of life satisfaction of the staff contributes to a more complete and holistic assessment of the role of money in their lives, compared with job satisfaction, and provides a more “collectivist” profile for assessing the role of money. It is concluded that the use of established patterns is appropriate in the implementation of psychological counselling of company staff on this issue, as well as in the development of monetary policy of organisations.
Pedagogical Semiotics: New Guidelines In Personality Development

The article examines pedagogical semiotics as a new methodological direction that adequately reflects the specifics of the information society and is able to ensure the achievement of new guidelines in personality development.The main research methods were the generalizing analysis of scientific literature on the problems of pedagogical semiotics; conceptual analysis of terminology; an interpretive method regarding the understanding of the categories "pedagogical semiotics", "semiotics of education"; google questionnaire survey.The authors have established the scientific "contours" of this new branch of pedagogy, its methodological parameters and the guidelines for the development of the information society personality determined from the standpoint of its concepts.Pedagogical semiotics is defined as a category of philosophy of education that solves the tasks of theoretical comprehension, explanation, forecasting, conceptualization, substantiation of the main categories and concepts of pedagogy in the logic of the structure of semiotics.It explores the principles of the use and generation of various signs, sign systems and the use of their meanings in educational practices, i.e. is aimed at solving applied educational problems.The article provides examples of the use of sign systems in the educational process of a school, outlines the role of semiotic competence of an individual, experimentally revealed is its deficit among practicing teachers, students -future teachers, teachers of higher education.The main concepts of the semiotic approach, defining new guidelines in the development of the personality of the information society, are revealed: meta-subjectness, modeling, specific characteristics of pedagogical activity, convergent and nomadological approaches.
Analysis and Visualization of Group Collaborative on Social Networks Relationships

The study of social networks is widely applied, which is mainly focused on the change of the social network structure of node and link, and the research angle is relatively single.Group collaboration is common in social networks.To better explore the evolution of group-level network structure in the process of group collaboration, this paper first adds group-level tasks to the task classification for graphic visualization.A task taxonomy suitable for group collaboration relationship analysis is set up according to the characteristics of collaborative relationship networks and tasks to be completed for group collaboration are set up according to this task taxonomy.Then, relevant visual views are designed to display the features and evolution patterns of collaborative relationships among and within groups in a more intuitive way.Finally, a specific case analysis was carried out on the academic collaboration literature data set.Through user evaluation experiments, the Likert scale was used to analyze the questionnaire to verify the effectiveness and practicability of the design visualization view, so as to provide a visual analysis method of group collaboration for social network relationship analysts, facilitating further exploration and application of group collaboration network relationships.
Human Perception in Natural Language Generation

We take a collection of short texts, some of which are human-written, while others are automatically generated, and ask subjects, who are unaware of the texts' source, whether they perceive them as human-produced.We use this data to fine-tune a GPT-2 model to push it to generate more human-like texts, and observe that the production of this fine-tuned model is indeed perceived as more humanlike than that of the original model.Contextually, we show that our automatic evaluation strategy correlates well with human judgements.We also run a linguistic analysis to unveil the characteristics of human-vs machineperceived language.
Application of Particle Swarm Optimization for Classical Engineering Problems

In the design of mechanical elements, designers usually consider certain objectives that are related with cost, time, quality and reliability of product, depending on the requirements. In this paper, parametric optimization of spring design problem, pressure vessel design problem, cantilever beam design problem, cone coupling design problem and welded beam design problem has been carried out using Particle Swarm Optimization (PSO for short). The pseudo code for this algorithm was written using Matlab R2018a software suite. Results of the PSO algorithm will be compared to results obtained by the Differential Evolution (DE), Modified Ant Colony Algorithm, (MACA), Grasshopper Optimization Algorithm (GOA), Water Cycle Algorithm (WCA), Cucko Search (CS) , Genetic Algorithm (GA), Ant Lion Optimization (ALO), Firefly Algorithm (FA) and Method of Moving Asymptotes (MMA), depending of solutions found in literature. The source code of Particle Swarm Optimization (PSO) algorithm is publicly available at https://seyedalimirjalili.com.
THE IMPACT OF TRANSACTIONAL LEADERSHIP AS A STRATEGIC IMPERATIVE IN PROJECT EXECUTION AT A MOBILE COMPANY IN THE GAZA STRIP, PALESTINE

Leadership is critical for the functioning of society and of any organization, and the effectiveness is incumbent on leader and follower congruence. The effectiveness of a leader is therefore inevitably contingent to the leader’s ability to develop a balance between the objectives of the followers, the leader and the organization. This is compounded by the factors that inform leader behavior, follower expectation and the tasks to be performed. Chief amongst these would be culture, religion, levels of follower education, and the tasks to be performed. The Gaza Strip is a heavily militarized, paternalistic and strongly religious environment, allowing for an environment that encourages transactional leadership. The research sought to establish the acceptability of transactional leadership at a large telecommunications organization in the Gaza Strip. The target population was employees of the organization and their perceptions about transactional leadership. The findings indicate a high acceptability of transactional leadership style by the employees of the organization.
ciu.image: An R Package for Explaining Image Classification with Contextual Importance and Utility

Many techniques have been proposed in recent years that attempt to explain results of image classifiers, notably for the case when the classifier is a deep neural network. This paper presents an implementation of the Contextual Importance and Utility method for explaining image classifications. It is an R package that can be used with the most usual image classification models. The paper shows results for typical benchmark images, as well as for a medical data set of gastro-enterological images. For comparison, results produced by the LIME method are included. Results show that CIU produces similar or better results than LIME with significantly shorter calculation times. However, the main purpose of this paper is to bring the existence of this package to general knowledge and use, rather than comparing with other explanation methods.
Lecturer Attendance System using Face Recognition Application an Android-Based

In the field of industries, businesses, and offices the use of security systems and administrative management through data input using a face recognition system is being developed. Following the era of technological advances, communication and information systems are widely used in various administrative operational activities and company security systems because it is assessed by using a system that is based on facial recognition security levels and more secure data accuracy, the use of such systems is considered to have its characteristics so it is very difficult for other parties to be able to engineer and manipulate data produced as a tool to support the company's decision. Related to this, causing the author is to try to research the detection of facial recognition that is present in the application system through an Android device, then face recognition detection will be connected. and saved to the database that will be used as data about the presence of teaching lecturers. Using the local binary pattern histogram algorithm method to measure the face recognition system that can be applied as a technique in the attendance system of lecturers to be more effective and efficient. Based on testing by analyzing the false rate error rate and the false refusal rate can be seen that the average level of local binary pattern histogram accuracy reaches 95.71% better than through the Eigenface method which is equal to 76.28%.
GIS BASED LANDSLIDE SENSITIVITY ANALYSIS OF BABADAG DISTRICT (DENIZLI/TURKEY) LANDSLIDE AREAS

In the Aegean Region, Denizli Babadağ district is an active landslide site.Babadağ has been known as a "disaster zone" by public institutions since 1941.Babadağ's Gündoğdu District was declared a "Disaster Exposed Zone" by the decision of the Council of Ministers on 06/02/2007 and numbered 11684.For this reason, this study was carried out in order to reveal both the current landslide situation and landslide sensitivity of Babadağ district.In order to detect landslide sensitivity, 12 parameters were based and GIS-based maps were created based on them.With AHP Template software developed by SCB Associates Ltd, landslide sensitivity analysis of Babadağ district was carried out using weight and sensitivity formulas of parameters.As a result of landslide analysis, very low, low, medium, high and very high sensitive landslide areas were detected.As a result of the determination; Babadağ district, 46.02% of the total area (56.47 km 2 ) "medium sensitivity" while the settlements were found to have a "high sensitivity" rating.For this reason, due to Babadağ landslide directly occur in county town settlement, in next landslide, settlement areas are in danger of landslide.Due to the physical geography characteristics suitable for landslides, it has been revealed that work on landslide hazards and risks should be continued in residential areas and infrastructure works.
TouchGrid – Combining Touch Interaction with Musical Grid Interfaces

Musical grid interfaces such as the monome grid have developed into standard interfaces for musical equipment over the last 15 years.However, the types of possible interactions more or less remained the same, only expanding grid capabilities by external IO elements.Therefore, we propose to transfer capacitive touch technology to grid devices to expand their input capabilities by combining tangible and capacitivetouch based interaction paradigms.This enables to keep the generic nature of grid interfaces which is a key feature for many users.In this paper we present the TouchGrid concept and share our proof-of-concept implementation as well as an expert evaluation regarding the general concept of touch interaction used on grid devices.TouchGrid provides swipe and bezel interaction derived from smart phone interfaces to allow navigation between applications and access to menu systems in a familiar way.
An Analysis on Compliment Responses in English among Javanese People

The study aims at exploring the differences of compliment responses in English among Indonesian males and females. The study consists of 20 English learners in University State of Yogyakarta. The participants are expected to respond five scenarios in a modified Discourse Completion Test (DCT). The participants’ responses are submitted to SPSS and Paired Samples T-Test is applied. It reveals that each scenario has different responses but it doesn’t have significant difference among male and female participants in responding the compliments. Both male and female participants tend to agree the compliment using appreciation token.
Texts, music, images created by the artificial intelligence: towards finding a model of legal protection

Approaches to the protection of rights to objects, created by artificial intelligence by copyright, related rights, sui generis right and rights on information are considered.
Problems and Countermeasures of Activity Design Teaching for Preschool Education Specialty in Higher Vocational College

There are some problems in the activity design teaching of preschool education in higher vocational education, such as teachers' professional quality needs to be improved, practical teaching is weak, teaching integration is weak, and students' learning autonomy is insufficient. These problems affect the improvement of students' ability and level of activity design. The main strategies of activity design teaching improvement are to build a contingent of high-quality teachers, strengthen practical teaching, improve the integration of teaching, and guide students to improve their autonomous learning level.
READING INTEREST LEVEL IN PRIMARY SCHOOL TEACHERS BASED ON THE IMPLEMENTATION OF THE SCHOOL LITERACY MOVEMENT IN DEPOK CITY

The culture of literacy in Indonesian society has received attention and development by a lot of parties. Not only the government, even local and foreign NGOs are also heavily involved in advancing the culture of literacy of the Indonesians. However, if we observe carefully, there is no progress of literacy culture in the everyday life among Indonesians. In order to overcome this problem, the Ministry of Education and Culture is developing a school literacy movement (GLS) program to increase community literacy through formal school education. This research was conducted to determine the level of teachers’ reading interest as a result of implementing the school literacy movement program. The method used was quantitative and descriptive analysis through statistical tests. The results showed that primary school teachers in Depok City had a high category of reading interest 26.7%, medium category reading interest 44.4% and low category 28.9%. The results also showed that the implementation of GLS was found in the high category 33.3%, the medium category 43.3% and low category 23.3%. From the research results it was also known that the t-value is 10.051 and the t table is dk = n-k, dk = 90-1 = 89 at the 5% significance level, so it was known that the t table was 1.7. Based on the calculation of t value was greater than t table, namely 7.332 1.7. Therefore, it can be concluded that the School Literacy Movement Program had a significant effect on Teacher Reading Interest.
Hybrid Thresholding Method in Detection and Extraction of Brain Hemorrhage on the CT-Scan Image

Brain bleeding can occur because of the outbreak of the blood vessels in the brain which culminated into hemorrhagic stroke or stroke due to bleeding. Hemorrhagic Stroke occurs when there is a burst of blood vessels result from some trigger factor. Segmentation techniques to Scanner computed tomography images (CT scan of the brain) is one of the methods used by the radiologist to detect brain bleeding or congenital abnormalities that occur in the brain. This research will determine the area of the brain bleeding on each image slice CT - scan every patient, to detect and extract brain bleeding, so it can calculate the volume of the brain bleeding. The detection and extraction bleeding area of the brain is based on the hybrid thresholding method.