Reviewerly/exHarmony huggingface dataset:
Γεφύρωση επικοινωνιακών εμποδίων οφειλόμενα σε διαφορές κουλτούρας.

Effective communication in business and commercial organizations is crucial, as organizations need to become more competitive and effective in order to maintain their commercial success. The techniques and procedures explored in detail in this dissertation include the design and preparation of written communication, effective document structures, different writing styles, the management of face-to-face interactions, the use of visual aids, presentation and organization of effective meetings. Finally, students study all of the above communication strategies with the ultimate goal of bridging the communication gap that arises due to cultural differences.
PENINGKATAN KETERAMPILAN MENULIS CRITA CEKAK MELALUI METODE PEMBELAJARAN EXAMPLES NON-EXAMPLES DENGAN MEDIA GAMBAR BERSERI

This classroom action research aimed to improve the students’ activeness and crita cekak writing skill using examples non-examples learning method with serial picture media in the 10 th Social Science Graders of SMA Negeri 1 Sukoharjo. This classroom action research was conducted in two cycles, each of which consisting of planning, acting, observing, and reflecting. The subject of this study are 29 students in the class at X IPS 4 SMA Negeri 1 Sukoharjo. The data sources used were event, document, and informant. Techniques of collecting data used were observation, document analysis, interview, and task/test administration. Data validation was carried out using method and data source triangulations. Technique of analyzing data used was a descriptive comparative and critical analysis. The study shows that on the on pre-action the writing skill crita cekak only 27.58%. After the first cycle was done, 62.06% and  after the second cycle was done student who pass increased 89.65%.
Open-World COVID-19 Data Visualization [Extended Abstract]

As COVID-19 becomes a dangerous pandemic worldwide, there is an urgent need to understand all aspects of it through data visualization. As part of a larger COVID-19 response by KAIST, we have worked with students on generating interesting COVID-19 visualizations including demographic trends, patient behaviors, and effects of mitigation policies. A major challenge we experienced is that, in an open world setting where it is not even clear which datasets are available and useful, generating the right visualizations becomes an extremely tedious process. Traditional data visualization recommendation systems usually assume that the datasets are given, and that the visualizations have a clear objective. We contend that such assumptions do not hold in a COVID-19 setting where one needs to iteratively adjust two moving targets: deciding which datasets to use, and generating useful visualizations with the selected datasets. We thus propose interesting research challenges that can help automate this process.
Signal Source Traversal Based on Quadrotors in Environments With Obstacles: A Data-Driven Receding Horizon Control Approach

This paper deals with the problem of signal source traversal based on a quadrotor in an environments with obstacles by proposing a data-driven receding horizon control approach. The proposed control approach includes two parts: One part is a data-driven learning method while the other part is a receding horizon control method. Gaussian process as a kind of data-driven learning method is used to provide the efficient posterior probability distribution of the possible positions for all the signal sources based on the received signal strength data. It should be pointed out that the obstacles in the environment obstruct signal detection and the antennas diverge the direction of signal transmission such that the positions of signal sources are frequently updated. In order to cope with this kind of dynamic events, a receding horizon control approach in the light of a new cost function is proposed to enables the quadrotor to traverse signal sources, where the generated trajectory is smooth and the quadrotor can be guided to efficiently avoid “L” shape obstacles. Finally, simulation and experimental results show that the quadrotor controlled by the proposed data-driven receding horizon control approach can move along the smooth trajectory to avoid obstacles and traverse all the signal sources.
Abstract PO-062: Fully automated artificial intelligence based breast cancer scanning through transilluminated image acquisition for mass screening appliances

Abstract Early detection of breast cancer is an effective tool in better management and treatment of the same. Mass screening is one of the available methods to detect early breast masses. Current technologies such as ultrasonography and mammography are golden standards of breast cancer detection. But these imaging modalities have several complexities when used for mass screening such as labor-intensive and cost. Hence a low-cost automated breast screening device is proposed in this project. A transillumination-based non-ionizing and non-radiating near-infrared optical wave are used for the transillumination of breast masses and their corresponding images will be acquired. The acquired images will be given to a deep learning artificial intelligence network for automated detection and classification of the tumor. The AI network will be pre-trained with double validated data with clinician expertise in the domain. The AI outcome will be displayed to the user and also taken as backpropagation feedback to the AI network to train the system further. This device shall be used as a system for mass screening applications from which suspected cases can e referred for mammography for final confirmation of tumor. The automated system shall be used in rural places with less skilled human intervention for mass public screening programs. This will reduce the disease burden on the huge women population vulnerable to the disease. Citation Format: P. Ponram. Fully automated artificial intelligence based breast cancer scanning through transilluminated image acquisition for mass screening appliances [abstract]. In: Proceedings of the AACR Virtual Special Conference on Artificial Intelligence, Diagnosis, and Imaging; 2021 Jan 13-14. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(5_Suppl):Abstract nr PO-062.
Κυβερνοέγκλημα σε περιβάλλοντα υπολογιστικού νέφους κρίσιμων υποδομών

Digital forensics (Computer forensic science) is a branch of digital technology that focuses on recognition, preservation, analysis and presentation of digital evidence for crimes that are committed through the use of computers or even mobile phones. However, the increasing rise in the use of cloud computing, in relation to the widespread forms of information technology, has brought significant changes to digital forensics. These changes create new challenges in the field of cybercrime investigation. Hence, a new area of research is emerging in this field, namely cloud forensics. Meanwhile, critical infrastructures of states and government agencies, such as, inter alia, health, defense and the economy, are increasingly expanding their use of cloud computing. This makes cloud forensics an important tool in the fight against cybercrime so that these infrastructures and government agencies can continue to utilize cloud computing safely and securely. Through the examination of scientific publications, technical texts of Greek and foreign bibliography, legal texts of local governments and international organizations, this study aims to shed a light on numerous aspects of cybercrime and forensics in the field of cloud computing. In the research that follows, an attempt is made to demonstrate the practices that initially promote the protection of critical infrastructures and, in turn, help facilitate forensic investigations of the cloud. In addition, this study highlights issues that will require further research by the scientific community and stakeholders of this ecosystem, such as cloud service providers, customers, legislators, law enforcement agencies and several others.Finally, this study presents conclusions regarding the current situation and the future risks, as well as proposals that could lead to improvements, both within a technical, as well as within a regulatory framework.
MUSIC IN ITS POSSIBILITIES OF FORMING HUMAN EXISTENCE

As you know, music exists in various forms, including in the form of a number of local works. A number of local works are messages encoded with musical expressiveness. Based on the foregoing, we can qualify music as a timeless art form, since it is music that is a means of communication between generations. According to the well-known law of K. Baer, which states the correspondence of ontogenesis and phylogenesis, the musical education of children requires extensive attention. We can assume that preferences regarding the nature, as well as the tempo and other features of a particular music, depend on the gender of the person. For example, boys will like volitional, strict, marching music more, and girls will enjoy tender, reverent and transparent. Although, here, perhaps, there are exceptions. Music is capable of exerting a positive and negative impact on a person. Entire areas of human activity, for example, a direction such as music therapy, are based on this property of musical art. With the help of the virtual intergenerational contact considered in the article, we can hear some features of that time in the works of composers of past centuries: the genres used, symbolic, national intonations. In this regard, the expansion of human existence and the possibility of contact between generations are available to us because the emotional processes, as already mentioned, are identical in people of all generations. It was previously said that music, in the context of this work, is considered as a series of local works. In accordance with this, the emotional process can also be divided into a number of local formations. Just as the emotional process acts as a series of local emotional upheavals – music consists of a number of local works. The most common methods for developing the emotional world are, as you know, reading fiction from different eras, studying paintings of different directions, getting to know the works of world classics. Familiarity with the artist’s biographical data and historical events of that time is of considerable importance for comprehending these works. The influence of music on the inner emotional world of man was thought in ancient times; myths about Amphion and Orpheus speak about this: the first with the help of music built the city walls of Thebes, the second game on the lyre pacified the shadows of Hades. Any fact of extra-musical life perceived by a person is translated into a musical text aimed at expressing an emotional shock as an event of the individual’s inner psychological world. This forms the possibility of contact between generations, which was mentioned earlier – the community of human emotions ensures the community of the existence of music at all times.
Comparative Analysis of ACO Algorithms for the Solution of the Travelling Salesman Problem

Metaheuristics are non-deterministic algorithms. Metaheuristic strategies are related to design. This chapter presents an introduction on metaheuristics, from the point of view of its theoretical study and the foundations for its use. Likewise, a description and comparative study of the ant colony-based algorithms is carried out. These are ant system (AS), ant colony system (ACS), and max-min ant system (MMAS). These results serve to deliver solutions to complex problems and generally with a high degree of combinatorics for those there is no way to find the best reasonable time. An experimentation and analysis of the results of the ACO algorithms (optimization by ants colonies) is also carried out. For the evaluation of the algorithms, comparisons are made for instances of the TSPLIB test instance library. Therefore, it is deepened in the resolution of the travelling salesman problem (TSP), and a comparative analysis of the different algorithms is carried out in order to see which one adjusts better.
Teaching Reading Narrative Text through Story Glovesto the Eighth Grade Students of State Senior High School 7 of Palembang

Abstract The aim of this study was to find out whether or not the use of story gloves could increase students’ ability in reading narrative text. The writer used cluster random sampling to select the sample. The sample of this study was the 8.1 students of State Junior High School 7 of Palembang. The data were collected by using test. Then, to analyze the data, the writer used matched t-test. The result showed that story gloves could increase students’ ability in reading narrative text because there was difference students’ score between pre-test and post test. The students’ average score in the pretest was 78,8 and the students’ average score in the post test was 86,8. Finally, the result of matched t-test calculation was 9.638 and the degree of freedom (df) 39, t-table was 1.697. The t-obtained is higher than t-table, it means that alternative hypothesis was accepted and null hypothesis was rejected. In other word, it was effective teaching reading narrative text through story gloves to the eighth grade students of State Junior High School 7 of Palembang. Keywords: Teaching Reading, Narrative Text, Story Gloves
WHATSAPP TO TEACH ENGLISH REMOTELY IN A LOW-TECH CLASS: TEACHER’S PERSPECTIVE

This study aims at addressing English teacher’s perspective about integrating WhatsApp (WA) into a university-level English class in STAIN Mandailing Natal. The data includes interviews with the teacher and observation on class postings in WA group and student-teacher timeline for four meetings. The data were analyzed qualitatively, and interpretively, resulting in three emerging themes about the WA to teach English remotely in low-tech classroom: the implementation of WA for online teaching, managing online learning activities in WA group and teacher’s constrains in applying WA in teaching online. The result of analysis indicates that WA is considered effective to teach English remotely in a limited internet connection classroom. With some adjustments to the instructional design, teaching and learning process could run well. However, due to the lack of students-teacher direct interaction, virtual class could not go as engaging as face-to-face learning in the classroom.
Methodical Scheme for Introduction of Combinatorial Compounds in Mathematics Education

The article is structured as follows. In section 1, the Introduction, a historical summary on the arising of the combinatorics is given. Next, a short review of the part of the combinatorics in the teaching of mathematics in Bulgaria is presented. At the beginning of section 2, combinatorial compounds, included in the Mathematics curriculum in Bulgaria, are reviewed. A new methodical scheme for the introduction of basic combinatorial compounds is proposed. Then, an alternative approach for solving combinatorial problems in teaching and learning mathematics is analyzed in detail. The innovative methods are illustrated with four particular sample tasks in section 3. Certain conclusions on the specific issues are drawn at the end of the article.
Alat Pendeteksi Kebakaran Berbasis Mikrokontroller Arduino

Fires are a problem that can occur anywhere in office buildings, housing, public facilities or vehicles. Delay in handling and not realizing there is a fire causing losses, it could be material and life losses in the case of vehicle fires, the average driver is not aware of the fire on the vehicle. Drivers must get information or warnings at the time of the fire in order to save themselves. Conventional alarm systems are alarm systems that are commonly used and most widely used because of the low installation costs. This system is effectively used in residential buildings, offices but not for vehicles. In planning this final project the writing uses the prototype method. Prototype models are one of the most widely used software development methods. To overcome these problems is to build a vehicle fire detection system based on the Arduino UNO microcontroller.
The Digital Samaritans

Bystanderism is becoming largely digital. If being subjected to perilous situations was once reserved almost solely for the physical world, individuals now might witness those in peril digitally from afar via online livestreams. New technological developments in the field of artificial intelligence (AI) might also expand bystanderism to new fields, whereby machines—not just humans—are gradually positioned to better compute their surroundings, thus potentially being capable of reaching a high statistical probability that a perilous situation is currently taking place in their vicinity. This current and future expansion of bystanderism into the digital world forms a rather new type of digital bystander that might challenge the legal and social meaning of bad Samaritan laws—legal duties to act on the behalf of others in a perilous situation by reporting the events or aiding those in the perilous situation, when the burden or risk of such aid is low. With the rise in the availability of livestreaming crimes on social media platforms, and the rise in AI capabilities, the current legal framework that governs bad Samaritans might become inappropriate in regulating social behavior and personal safety, which in turn might shift to the almost sole prerogative of platform governance—transforming online users and platforms into becoming the new digital Samaritans.
Perancangan Ui/Ux Aplikasi E-Commerce Berbasis Website Pada Toko Aema Kacamata Surabaya Menggunakan Model Lean User Experience

The AEMA Glasses store is a shop that sells various accessories that was founded in 2010, the shop provides various driving accessories such as glasses, cloth slayer, mask buff, gloves, hats, masks and belts. Currently the AEMA Glasses shop is only a shop, so the buying and selling process only occurs in that shop. This is a drawback for this store because customers who want to order from outside the area cannot be served quickly and customers also cannot see the catalog available in the store. In addition, shop employees also experience difficulties in recording sales and calculating shop turnover because this AEMA shop still uses books and a calculator in the transaction process, which causes frequent differences in the number of goods calculations. Based on the existing problems, a web-based UI / UX design solution was found with the Lean UX method which consists of several stages, including Declare Assumption, Create MVP, Run an Experiment, and Feedback and Research. By including 30 samples, namely AEMA Glasses shop customers and 7 samples, namely AEMA Glasses store employees, so a total of 37 samples. Based on the results of the analysis and observations that have been made, a prototype design was made using the Lean UX method which was then tested on AEMA Glasses customers and AEMA Glasses employees which resulted in the success rate of prototype testing for customers reaching 72% and the success rate of prototype testing for admins reaching 86%.
Proposal of interface to recognize depth error to arbitrary points while constantly observing 2-D image consisting only of information from robotic perspective and practical issues

In this paper, “the stereo matching interface” as a new visual recognition interface for remote operations is proposed. It satisfies the following functional requirements, which have been developed through a survey of prior arts. The stereo matching interface allows operators to recognize depth information about position errors to any remote target objects, 1) only uses information interpreted from the robotic perspective, 2) superimposes depth information on the image without separating the display area, 3) is a planar (2-D) image, 4) measures and presents depth information in the parallel to elevation angle direction and 5) allows users to selectively use arbitrary point depth information on the image. As a design that satisfies these functional requirements, we use that the parallax of the stereo camera images for the same spatial feature points changes with depth distance. The feature of this interface is that one of the images is edged by image processing to improve visibility, and it uses the human mechanism of selective attention. Furthermore, it was confirmed that the stereo matching interface satisfies the above functional requirements and fully performs the basic function. It has advantages of being able to recognize the presence or absence of depth distance errors over the entire display area (functional requirement 4 and 5) and to complete main operations using only intuitive images from the robotic perspective (functional requirement 1 and 2), without additional operations to identify any target objects. Furthermore, it is suggested that the following design values can be obtained: the reduction of falling and collapse of target objects, the synergistic effects in large scale-spaces, and the ease of integration into conventional equipment. Therefore, an alternative interface worthy of comparison with prior arts is considered to have been provided. On the other hand, the depth position error during turning and the convergence angle shift are practical issues. Besides, usability issues are the generation of depth indexes in the absence of spatial feature points on the surface of the target object and the visibility of the depth indexes.
초등 영어 교실의 유머 발화자 : 교사, 학습자 및 공동 구성을 중심으로

This paper explores initiators of humor and the differing characteristics of humor these initiators use in elementary-level English classrooms in Korea. Forty-nine videotaped ordinary classes and interviews with four teachers were investigated. Teachers tended to make learners the subjects of humor, with this type of humor attracting students to participate in learning. Furthermore, teachers encouraged learners to pay more attention to the form of English language features by humorously revealing mispronunciations or expressions that learners could easily make mistakes with. Additionally, among learners, the primary users of humor were middle- to lower-level students. Teachers needed to build a safe environment for English underachievers who unintentionally made humorous mistakes so that they would not be mocked. Also, certain boys intentionally tried humor to get attention. It is noteworthy that teachers and learners jointly constructed humor by supporting each other. This conjoint humor reaffirms the importance of teachers’ reactions and attitudes towards pupils. By listening attentively and accepting learners’ remarks, teachers could make humorous, meaningful interactions. The current paper projects some pedagogical implications concerning how to use or deal with humor for foreign language teachers.
A novel hybrid model for video salient object detection

At present, there are a few video salient object detection models that can simulate the attention behavior in the dynamic scene. However, due to the lack of video salient object detection data sets and the camera motion interference, the existing models are insufficient to capture the overall shape and precise boundaries of targets. Hence, a new hybrid model, called NHM, connects the attention feedback network and pyramid dilated convolution module to obtain abundant spatial saliency information, then uses the saliency-shift-aware convLSTM module to learn temporal saliency information. Instead of directly feeding the attention feedback network results into the pyramid dilated convolution module, we extract feature maps of different scales from five decoder blocks and transfer them to the pyramid dilated convolution module. In this way, we could make better use of multi-scale features. Furthermore, a new hybrid loss function is proposed to obtain fine boundaries by introducing the boundary- enhanced loss. The experimental results show that the proposed model is superior or equal to the state-of-the-art models.