Reviewerly/exHarmony huggingface dataset:
Extract Concept using Subtitles in MOOC

Massive open online courses (MOOCs) are a variety of courses offered through the online mode, paid or unpaid and has evolved as an excellent learning resource for students.The structure of the course design is mainly linear where there are a few video lectures provided by either professors of several universities, or people with expertise in the particular subject.They are usually graded on a weekly basis through quizzes or peer-graded assignments.The objective of this paper is to extract the concepts taught in the videos from the subtitles, which could later be used to enhance recommendations of the learners using their clickstream data.The teachers could also use this to see the demand for their courses.Evaluate two keyword extraction methods, which are BERT and LDA using different Coursera courses.The experimental results show that BERT outperforms LDA in terms of Coherence.
Rancang Bangun Sistem Informasi Helpdesk IT Support Berbasis Website

The speed of providing services from the IT support department in helping to handle problems related to computer devices or internet or intranet networks in a company is very important in supporting work effectiveness. PT Markindo Rekateknik is a company engaged in marking machines, coding printers and packaging machines. Handling requests for network access or repairing computer equipment is still done manually and this process takes a long time because it needs to get approval from the leadership. This of course can cause problems in the form of missing data reports, difficulty in searching data, and the risk of data loss. And in terms of monitoring access requests and computer and network equipment problems that are often complained of in 1 month, they are not recorded properly, making it difficult for the evaluation process of these obstacles. For this reason, we need a helpdesk system for the IT Support section that is computerized and can be accessed anywhere with an internet connection, so that existing problems can be resolved properly. And the process of monitoring and reporting on access requests and computer and network equipment constraints from submitted complaints can be monitored properly and can be evaluated to find the right solution
Assessment of Teachers’ Technological and Pedagogical Knowledge of Integrating ICT in teaching English in Secondary Schools in Nairobi County, Kenya

The purpose of this study was to assess teachers’ technological and pedagogical knowledge of integrating ICT in teaching English in secondary schools in Nairobi County, Kenya. The study was guided by two frameworks: Technological Pedagogical and Content Knowledge (TPACK), and Teacher Cognition. The study employed an explanatory sequential mixed-methods approach to collect both qualitative and quantitative data. The study adopted a descriptive survey research design, and pragmatic world view as a philosophical orientation. The sample consisted of 20 secondary school teachers of English from Nairobi County. Simple random and purposive sampling techniques were used. Data was collected using an interview schedule and a teacher questionnaire. Data were analysed using descriptive statistics: frequencies, percentages, means, standard deviations and presented in tables and short descriptions and content analysis procedures and presented in narrations based on thematic areas derived from the study variables. The findings revealed among other things that, 75% of the teachers of English sampled lacked TPACK to effectively integrate ICT in their teaching, the training required by teachers of English to integrate ICT in their teaching and the resources needed to deliver this were inadequate in many schools under study. The study concluded that: teachers of English needed sufficient technological pedagogical knowledge and adequate ICT skills to effectively integrate ICTs in their teaching, the aspirations of national educational authorities because of establishing ICT competencies does not automatically result in changes in classroom practices. The study recommended that teachers be provided with professional development as a continuous process on the integration of ICT in teaching; underscoring the importance of the continued teacher development in ICTs to enhance English language teaching. The study further challenges policymakers in the secondary school context to develop ....
Pemertahanan Bahasa Jawa dalam Komunikasi Anggota Organisasi Ikatan Mahasiswa Bidikmisi Universitas Trunojoyo Madura (Kajian Sosiolinguistik)

&#x0D; &#x0D; &#x0D; &#x0D; This study aims to determine the maintenance of Javanese language by speakers in organization of the Bidikmisi Student Association at Trunojoyo Madura University. Language preservation is one of the studies in the sociolinguistic. Language preservation and language shift likened to currencies that have two contrasting contents. Sociolinguistic combine two fields of science, namely sociology which studied social life and linguistics studied about language. The research method used descriptive qualitative method because the data studied in the form of words, not variables. The data collection technique used recording techniques, interview technique, observation, and documentation. The data analysis technique used taxonomic analysis. The data sources analyzed were 35 speakers who came from various regions so that there was the potential for language contact in communication. The results of the studiy showed that language maintenance in the organization of Bidikmisi Student Association at Trunojoyo Madura University still being pursued. The defense of the Javanese language evidenced by the presence of conversations used Javanese language on formal or informal situations between members of the organization. There are three factors which can cause a language friction. Five defense strategies that can be attempted to conserve the language. &#x0D; &#x0D; &#x0D; &#x0D;
Correction to: The role of work-based learning for student engagement in vocational education and training: an application of the self-system model of motivational development

An Correction to this paper has been published: https://doi.org/10.1007/s10212-021-00564-y
Dynamic Planning of Aircraft Sortie Generation Based on Multiobjective Optimization

The ability of ensuring the safety and reliability of combat aircraft in noncombat processes is a must for aircraft sortie generation. How to guarantee the operation safety and reliability of combat aircraft while ensuring operation efficiency in the air is a matter requiring further exploration and research. For this reason, this paper carries out dynamic planning of aircraft sortie generation based on multiobjective optimization. First, this paper selected a few indicators for measuring the congestion of air field and constructed a state demarcation model; then, it constructed an operating state identification model for the sortie generation and established objective functions for the aircraft runway sequencing model based on the scheduling time span and takeoff and landing delay time loss of the aircraft. At last, this paper elaborated on the methods of landing aircraft parking space scheduling and runway optimization, and the effectiveness of the general model was verified by experimental results, which can be applied to both field-based and cargo-based aircraft sortie generation problems.
A Study of the Use of Electronic Media in Drug Abuse Campaign

Electronic media is one of the outlets for disseminating content to the general public.In Malaysia, electronic media is used in a variety of campaigns, including the Drug Abuse Campaign.The purpose of this study is to look into the use and effectiveness of electronic media in the Drug Abuse Campaign conducted by National Anti-Drugs Agency (NADA).A total of 12 informants, comprising of NADA officers from the headquarters and the state of Penang, were recruited and interviewed in depth using the purposive sampling method.The main findings of the study showed that (1) NADA Top Management Council made the majority of decisions on the use of media and communication, (2) NADA has planned an audience targeting strategy in the Drug Abuse Campaign that is in general, selective and directly to the desired audience, as well as (3) electronic media is the choice of most informants as an effective medium.Overall, electronic media is still considered important and offers numerous benefits as a means of delivering information.This platform may be improved so that its potential for assisting campaigns in the country is reinforced and broadened.
Applying Haar Wavelets in Tasks of Digital Processing of Two-Dimensional Signals

In this article, a system application of local basis functions discussed, defined on compact media. formulas for estimating the accuracy of calculating the spectral energy by the method of two-dimensional Haar wavelets and main concepts of Haar fast transformation, spectral energy of Haar coefficients will be discussed in this article. effectiveness will be shown in order to solve problems of sampling of compact signals. Signals cannot only be functions of time, defined at finite intervals, but also functions of arguments of a different physical nature, for example, distances along surfaces.
Personalized pedagogical learning of highly qualified residents and postgraduate students

Aim . The article is devoted to the analysis of experience of developing and testing the system of highly qualified personnel training with pedagogical skills in residency and postgraduate education based on personalized learning. The aim was to summarize the educational experience of teachers of the Public Health Institute (Volgograd State Medical University) in personalized learning of highly qualified personnel in residency and postgraduate education. Material and methods . The use of methods of system analysis and data assessment of information obtained during theoretical analysis, comparison, grouping of data, generalization made it possible to identify a complex of pedagogical areas, structured into a system of personalized learning of medical postgraduate students and residents. The study involved 106 residents and 166 full­time and part-time postgraduate students. Results . The presented system of training of highly qualified residents and postgraduate students is based on psychological and pedagogical diagnostics of students, ensures the continuity of professional and pedagogical development, integrates the following characteristics inherent in personalized learning: motivation, joint creation, self­knowledge and social construction. Expert assessment, self­assessment of pedagogical experience results, and data interpretation indicate that the developed system has been successfully tested. Conclusion . A personalized learning system of pedagogical skills in residency and postgraduate education has been developed, where the individual trajectory of mastering professional and pedagogical competencies is determined by primary diagnostics, a set of tasks, the organization of educational process. This can be considered as the basis for improving the training of highly qualified personnel in a medical university.
Extensive Reading from Students’ Perspective

Extensive reading is broadly known as reading for enjoyment and is beneficial for EFL students. However, nowadays, the growth of technology has become a matter for students to be reading less than they should be. Thus, this research focused on the online extensive reading as the course program the students had experience in Pakuan University to find out their perspective. The respondents were 15 students from sixth-semester students who had experienced the Online Extensive Reading subject. The research was conducted by using qualitative method and using questionnaires and one-on-one interviews as the instruments. Data collected were separated into three indicators, which included the learning process, students’ skills improvement, and personal factors. Based on the result, the students’ perspective on the Online Extensive Reading helped them improve, especially in vocabulary gained, reading interest and reading comprehension. On the other hand, most students perceived that the learning process was effective for them to learn in this Online situation. However, they suggested that they needed more virtual meeting sessions instead of using chat forum to discuss or share. Furthermore, there were a few students that didn’t feel the effectiveness of the Online Extensive Reading because they had a problem in their personal characteristic such as, procrastinating, unmotivated to read, unmanageable time, and their lack of reading interest.
Utilization of Augmented Reality for Introduction of a Ship Ballast System

Abstract In the field of education, virtual reality has major advantages for the transfer of knowledge faster than conventional approaches and allows businesses to provide their workers with an efficient training program. By offering step-by-step guidance to create particular tasks, the Augmented Reality technology will assist during the training process. The knowledge in the AR application is made omnipresent, allowing the worker to be able to obtain the instructions with less effort, understandable and effective, avoiding the faults in the operation of the real ballast system. The process begins by evaluating the current components of the ballast system to understand how to incorporate augmented reality technology to boost the performance of the process. The ballast system is then made into a 3D model, including the proportional dimension and exact position of each part of the ballast system as mounted, and the potential real-world scenario. The outcome of this work is called the application of Ballast Component AR. A testing process is carried out to determine whether the application of augmented reality is prepared for implementation and preliminarily checked during the development stage. The AR framework is fully run and checked by the use of Android smartphones or tablets in the process. To evaluate input from users of the AR application, a questionnaire is used with defined parameters regarding the performance and the usefulness of the application.
KILLER ROBOTS AND ARMED FORCES TRANSFORMATION FOR THE ROBOTIC ERA

Killer robots or lethal autonomous weapon systems (LAWS) have been the focus of an ongoing debate. In due time, wars will be fought with a military force including human warriors, drones, and robot warriors. In this study, we discuss armed forces transformation issues for the robotic era. Furthermore, we present a basic model outlining the transformation process. Finally, we provide a set of recommendations to policymakers and military officials for managing the transformation of armed forces for the robotic era.
Introduction to Semirandom Models

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Learning English through International Student Exchange Programs: English Education Department Students’ Voices

English language learning is a process that students must go through in order to reach the optimum level of proficiency in the language. International student exchange programs are activities that might assist students in practicing and improving their English. The purposes of this study were to investigate the benefits and to identify the challenges of participating in an international student exchange program while studying English at the English Language Education Department of an Islamic Private University in Yogyakarta. The research design for this study was a qualitative descriptive one. The data for this study were gathered through interviews. Three students from the English Language Education Department of a private Islamic university in Yogyakarta participated in this investigation. The first finding concerned the advantages of participating in an international student exchange program while studying English. It shown that participating in international student exchange programs aided students in making foreign friends, interacting with native English speakers, practicing, and improving their English abilities, and boosting their self-confidence. The second result concerned the challenges associated with participating in an international student exchange program to improve their English. It demonstrated that students who participated in an international student exchange program failed to engage with local people outside of school and experienced culture shock. All associated parties, including students, host universities, university senders, and the program's committee, should organize and execute the program's activities with care and attention, beginning with the program's planning, preparation, deployment, evaluations, and follow-up.
Developing a Case Investigation and Contact-Tracing System in Puerto Rico, 2020

We present a record of events that led to the creation of the Puerto Rico Case Investigation and Contact-Tracing System (CICTS) to monitor and control the spread of severe acute respiratory syndrome coronavirus 2 in Puerto Rico. The development of the CICTS is a significant step toward establishing a comprehensive infectious disease surveillance system in Puerto Rico. Furthering the development of a CICTS infrastructure is critical in the response against future emerging infectious diseases in the region. (Am J Public Health. 2022;112(2):223-226. https://doi.org/10.2105/AJPH.2021.306584).
Technology Trends and Policies for IoT Security

Background/Objectives: In this research, we have explored to the concept and the element of the IoT technology, and some attacking factors to the IoT security.Methods/Statistical analysis: Things and security threats and also examined the security technology and policy contents.Findings: The most important issue for security was security technology and policy on the threat of personal information leakage, and it was found that each country is aware of its importance and is making efforts to research and prepare policies.Improvements/Applications: We will look at some security technology and other supporting policies to suggest some solutions for the direction for the currently improving IoT security.
OSSID: Online Self-Supervised Instance Detection by (And For) Pose Estimation

Real-time object pose estimation is necessary for many robot manipulation algorithms. However, state-of-the-art methods for object pose estimation are trained for a specific set of objects; these methods thus need to be retrained to estimate the pose of each new object, often requiring tens of GPU-days of training for optimal performance. In this paper, we propose the OSSID framework, leveraging a slow zero-shot pose estimator to self-supervise the training of a fast detection algorithm. This fast detector can then be used to filter the input to the pose estimator, drastically improving its inference speed. We show that this self-supervised training exceeds the performance of existing zero-shot detection methods on two widely used object pose estimation and detection datasets, without requiring any human annotations. Further, we show that the resulting method for pose estimation has a significantly faster inference speed, due to the ability to filter out large parts of the image. Thus, our method for self-supervised online learning of a detector (trained using pseudo-labels from a slow pose estimator) leads to accurate pose estimation at real-time speeds, without requiring human annotations. Supplementary materials and code can be found at https://georgegu1997.github.io/OSSID/
Hardware Platform-Aware Binarized Neural Network Model Optimization

Deep Neural Networks (DNNs) have shown superior accuracy at the expense of high memory and computation requirements. Optimizing DNN models regarding energy and hardware resource requirements is extremely important for applications with resource-constrained embedded environments. Although using binary neural networks (BNNs), one of the recent promising approaches, significantly reduces the design’s complexity, accuracy degradation is inevitable when reducing the precision of parameters and output activations. To balance between implementation cost and accuracy, in addition to proposing specialized hardware accelerators for corresponding specific network models, most recent software binary neural networks have been optimized based on generalized metrics, such as FLOPs or MAC operation requirements. However, with the wide range of hardware available today, independently evaluating software network structures is not good enough to determine the final network model for typical devices. In this paper, an architecture search algorithm based on estimating the hardware performance at the design time is proposed to achieve the best binary neural network models for hardware implementation on target platforms. With the XNOR-net used as a base architecture and target platforms, including Field Programmable Gate Array (FPGA), Graphic Processing Unit (GPU), and Resistive Random Access Memory (RRAM), the proposed algorithm shows its efficiency by giving more accurate estimation for the hardware performance at the design time than FLOPs or MAC operations.
Detection of Essential Thrombocythemia based on Platelet Count using Channel Area Thresholding

Essential Thrombocythemia is one of the Myeloproliferative Neoplasms Syndrome where the mutation of the JAK2V617F gene causes the bone marrow to produce excessive platelets. For early detection of Essential Thrombocythemia disease using a full blood count and peripheral blood smear examination. The main characteristic is that giant platelets are found as large as young lymphocytes with a number of more than 21 cells in one field of view. The purpose of this research is to detect Essential Thrombocythemia by counting the number of platelets in the peripheral blood smear image. This research utilizes computer vision technique where the research stages consist of peripheral blood smear image, color conversion, image enhancement, segmentation, labeling process, feature extraction and K-Nearest Neighbor classification. There are three features used, namely the number of platelet cells, area and perimeter. The K-Nearest Neighbor method is able to classify 215 training data with an accuracy of 98.13% and classify 40 testing data with an accuracy of 100% based on the value of K = 3. &#x0D;
The Disclosures of Information on Cybersecurity in Listed Companies in Latin America—Proposal for a Cybersecurity Disclosure Index

For the corporate sphere, cybersecurity becomes an inescapable business responsibility, and accountability becomes a way of providing trust and ensuring resilience against cyber risks and high-impact cyber threats. The purpose of this study was to create a disclosure index that allows analysis of the scope of the disclosure of voluntary and mandatory cybersecurity information. The content analysis technique used focuses on the examination and identification of the cybersecurity information revealed in the annual reports and the 20 F annual forms of the companies with the highest stock market prices in Argentina, Brazil, Chile, Colombia, Mexico, and Peru during the period of 2016–2020. Longitudinal analysis indicates an increase over time in the disclosures and scope of information. The findings highlight that the country with the highest related disclosure is Argentina; the most extensive disclosures are due to the financial sector; and the strategy dimension represents the greatest weight in the index score. The study provides a novel instrument for measuring the content of disclosure on cybersecurity that is applicable in any specific context. In this case, the scope of disclosure in Latin America—a region which, according to our research, does not have previous studies on the subject—is evaluated.