Reviewerly/exHarmony huggingface dataset:
Persuasive Elements in (S)extortion Correspondence Demanding Cryptocurrency

Extortion and sextortion emails requesting cryptocurrency are on the rise. For many individuals, receiving threatening correspondence such as sextortion emails can be extremely traumatic and lead to feelings of helplessness and eventual compliance. An analysis of 60 examples of (s)extortion type emails, found common elements frequently used in such correspondence, such as delivering threats, imposing time limits or using victim’s own data as proof that the correspondence may be genuine.Further thematic analysis of the written text unearthed several themes and subthemes that point to a complex psychological structure, designed to persuade, shame and coerce a potential victim to comply with the blackmail, as well as break down any defence strategy that may come to one’s mind upon receiving such correspondence. The themes and subthemes found in such correspondence, clearly outline how much psychological distress sextortion emails may cause potential victims and why assertive fraud prevention messages, that specifically address this type of fraud are needed.
Light-field image super-resolution based on multi-scale feature fusion

As a new generation of the imaging device, light-field camera can simultaneously capture the spatial position and incident angle of light rays. However, the recorded light-field has a trade-off between spatial resolution and angular resolution. Especially the application range of light-field cameras is restricted by the limited spatial resolution of sub-aperture images. Therefore, a light-field super-resolution neural network that fuses multi-scale features to obtain super-resolved light-field is proposed in this paper. The deep-learning-based network framework contains three major modules: multi-scale feature extraction, global feature fusion, and up-sampling. Firstly, inherent structural features in the 4D light-field are learned through the multi-scale feature extraction module, and then the fusion module is exploited for feature fusion and enhancement. Finally, the up-sampling module is used to achieve light-field super-resolution. The experimental results on the synthetic light-field dataset and real-world light-field dataset showed that this method outperforms other state-of-the-art methods in both visual and numerical evaluations. In addition, the super-resolved light-field images were applied to depth estimation in this paper, the results illustrated that the disparity map was enhanced through the light-field spatial super-resolution.
Effective data pre-processing for AutoML

This work was supported by the GENESIS project, funded by the Spanish Ministerio de Ciencia e Innovacion under project TIN2016-79269-R. We thank University of Bologna for issuing a grant for author’s research stay at Universitat Politecnica de Catalunya.
*WINNER* Sentiment Analysis Using Google's Word2Vec Machine Learning Method

Natural language processing is an important research area of Artificial Intelligence. By competing in the “Bag of Words meets Bag of Popcorn” Kaggle challenge, we plan to produce a machine learning model that has been trained to analyze movie reviews and understand the meaning and semantic relationship among words to determine the sentiment behind the reviews. Our model should be able to distinguish between positive and negative reviews using Google’s Word2Vec, a deep-learning inspired method that focuses on the meaning of words. After our model has been trained using two different data sets (one containing reviews with a positive or negative sentiment label, the other containing reviews without sentiment labels), we will be able to test our model and determine its accuracy. After analyzing our model, we will produce graphical representations of our analysis and collected data. For analysis and goal evaluation, we will be computing a classification accuracy score and plotting an ROC curve. The classification accuracy score should be above 50% and by visually inspecting the ROC curve, the line should be above the line of no-discrimination for the model to be considered successful. We will also generate a report of outcomes wherein we will assess and evaluate the model’s performance and accuracy and provide insight into any changes or improvements that could be made in the future to improve upon the performance of the model.
ANALISIS KOMPONEN WEBSITE DESA WISATA CIMANDE SEBAGAI MEDIA PROMOSI ELEKTRONIK (E-TOURISM)

Nowadays, promotion via the internet is considered easier to do. In addition to lower costs, the use of the internet for promotion is considered more real time and more informative because it can convey information precisely and clearly. Cimande Tourism Village uses a website to promote its tourism activities (e-tourism). However, the existing website is not well managed and needs to be repaired and updated. The research was conducted with a qualitative approach to find out various problems with the tourism promotion website of the Cimande Tourism Village. This study identifies website components using indicators, namely domain name, year of creation, website, website credibility and functionality and the quality of website content presentation. In the research, the results show that the Cimande Tourism Village website has a domain name, namely desawisatacimande.com. Domains are included in the generic Top Level Domain (gTLD) and do not use country codes because they are non-formal and commercial. The website was created on 27 December 2019. The type of website is included in the static website and the website owner is RUMAHOSTING.COM. The copyright is owned by Cimande Tourism Village with data citation so far not available. Updates on the website are classified as minimal because the manager has not made it a habit of procuring (scheduling) updates on the website. The menu bar on the website can be found on the website home page and the website navigation function works well. A quick search is provided by the website but the quality is still poor. Site map is available in the contact section of the website. The color contrast on the website is considered good and the use of foreign languages is still not there.
Oltre “no buono”. L’espressione di gusti e preferenze nella scrittura in italiano L2 di apprendenti vulnerabili

The communicative functions related to the expression of personal tastes and preferences are attested very early in the process of L2 learning. Moreover, the importance to focus on these functions in L2 (Italian) classes, even in literacy courses and especially with adult refugees and asylum seekers, has been extensively demonstrated. The present study has a twofold objective. Firstly, it aims at identifying forms of expression of personal tastes and preferences in written production of L2 Italian vulnerable low-literate learners. Secondly, it intends to investigate L2 Italian teaching experiences related to the two above mentioned functions, with a review of teaching materials. To reach the first goal, the ScrItAV corpus was consulted and 107 short texts, produced by refugees and asylum seekers in L2 Italian literacy classes at the University L’Orientale of Naples were selected. An error analysis was carried out on the micro-corpus by means of the UAM Corpus Tool software. For the second research objective, 10 L2 Italian literacy teachers were administered an online questionnaire about methods and materials used in teaching how to express tastes and preferences in the second language; 12 textbooks of Italian as L2 for literacy levels were also examined. The corpus analysis allowed to recognize the forms in which the two functions are realized in written productions of low-literate learners of Italian as L2 and to describe the path from the Pre Alpha A1 to A1 level. If learners succeeded in expressing their tastes especially about food, colours and aspects of the city of Naples, what seems to be less developed and trained, but also more crucial, is the expression of what is disliked. To such vulnerable learners, often experiencing a traumatic past and a difficult present in reception camps, the ability to verbalize what is not going well, what is perceived as unacceptable, what is not preferred can be very urgent. This communicative need does not seem to be satisfied in literacy classes and by textbooks of Italian as L2, in which the positive forms are more numerous and more frequent than the negative ones.
Work. Study. Play!

Abstract The field of STEM (Science Technology Engineering and Math) education is constrained by the teacher’s interpretation of how to convey the course content to their students. The application of Art is an integral part of STEM education. Art allows teachers to incorporate creativity while engaging students in the classroom. STEAM (Science Technology Engineering Art and Math) is an approach of guiding student dialogue and critical thinking to solve complex problems. A challenge for educators is to implement a fun and interactive way for students to gain interest in the STEM fields. By bridging the gap Work. Study. Play! combines learning modules into an interactive game that introduces the physics behind musical applications. This is done by combining Work; an online learning module assigned by teachers and monitored by parents. Study; an interactive at-home module for students. Play; an in-class or at-home interactive game board. Work. Study. Play! is a website and compatible game board incorporating the physics behind musical instruments providing visually stimulating insight into the STEAM field. The more students are exposed to these concepts the better equipped they are to become leaders in their respective industries. The game allows students to learn in-depth subject matter in the areas of sounds and vibrations of musical instruments, while also providing educators with an easily adaptable learning curriculum that meets the needs of the classroom. The device and service also fulfills the parental needs of monitoring their child's academic program. Work. Study. Play! attracts students, teachers and parents alike combining the three into a mutually satisfying experience. The authors hope to demonstrate the capabilities of this system that use games to bridge the gap between STEAM and fun education. Through this educational ecosystem, educators are empowered to allow students to gain an interest in technology while providing a competitive game engaging students both inside and outside of the classroom.
Application of Data Fusion Technique for the Analysis of Medical and Healthcare Consciousness

In a rapidly changing society, findings from social surveys serve as an important tool in identifying the social interests and the subjective social consciousness of the local residents, and for this reason, social surveys are being employed in various ways by KOSTAT (Statistics Korea) and local governments. In Gyeongsangnam-Do, social surveys are conducted annually, with survey questionnaire being modified biennially. As a previous study of the Gyeongsangnam-Do social survey, medical/healthcare items of the social survey surveyed in 2019 were studied, and the 2018 social survey also revealed that there are medical/healthcare related questions. Thus, this particular study will explore how data fusion method can be applied to collate the results from the 2019 and 2018 Gyeongsangnam-Do social survey to allow for an efficient analysis of the medical/healthcare questions, and also discuss the findings from this process. The data fusion and analysis method proposed in this study will also be useful in exploring the information obtained from social studies conducted by other local governments.
PENERAPAN MODEL BERBASIS ARTIFICIAL NEURAL NETWORK UNTUK MEMPREDIKSI KUALITAS AIR DI SUNGAI SUBAYANG KABUPATEN KAMPAR

Water quality management is very important to do, because water is an inseparable part of everyday human life. Monitoring water quality is a way to maintain the quality of waters, especially rivers. River quality monitoring that is usually done requires a lot of equipment, effort and expertise so that its application becomes expensive and complicated. Technology that is growing rapidly nowadays puts forward artificial intelligence as the backbone of the Industrial Revolution 4.0 which promises many conveniences for industry and government. One of artificial intelligence technology is machine learning with Artificial Neural Network algorithm which is commonly used to predict or forecast a future value. This artificial neural network can be used to help monitor river water quality. The objective of this research to develop Artificial Neural Networks (ANN) model to predict the paramater of river quality (DO, pH, turbidity, temperature, water flow, conductivity) in the Subayang River, Kampar Regency, using software Rapidminer. The performance of the ANN models was evaluated using root mean squared error (RMSE) and correlation squared (R2) as a second comparison, then the results of the testing implementation are compared with direct measurements in the field. With the RMSE values obtained in the test results of each parameter DO = 1.613, pH = 0.098, turbidity = 4.730, temperature = 0.493, water flow = 0.121 and conductivity = 0.909. The lower the RMSE level, the closer it is to Artificial Neural Network accuracy for value prediction.
Ability in Using Chinese Adverb “Tongchang” and “Changchang” of STBA-PIA Second Year Student 2017/2018 Academic Year

The research is aimed at discovering the ability of STBA-PIA Second Year Students 2017/2018 Academic Year in using the Chinese Adverb “Tongchang通常” and “Changchang 常常”. This research uses a descriptive quantitive design method with a total population of 67 students. As the total population is under 100, the whole students are taken as the research sample. Students’ ability in using both Chinese Adverbs “Tongchang通常” and “Changchang 常常” is measured by using the test in which is the research instrument. The validity and reliability of the research instrument are examined by using content validity and internal reliability. Internal reliability is examined by using Kuder Richardson 20 formula. The reliability of the instrument shows the coefficient of 0.618 in which may be interpreted as quite a strong value. After passing the reliability score, the instrument is given a test to students. The result of the test is the ability of STBA-PIA second-year students in using the Chinese Adverb “Tongchang通常” and “Changchang常常” can be categorized as quite competent as 61.18% of students reach the average score of 74.72 for “Tongchang通常”  and 63.18% of students reach the average score of 72.04 for “Changchang 常常”. Keywords: Cognitive Ability, Chinese Adverb, 通常 ( tongchang ), 常常 ( changchang ).
PELAKSANAAN PELAYANAN ADMINISTRASI DI SUBBAGIAN AKADEMIK FAKULTAS KEGURUAN DAN ILMU PENDIDIKAN UNIVERSITAS SEBELAS MARET

Abstract Implementation of Administrative Services in the Academic Subsection at the Faculty of Teacher Training and Education Sebelas Maret University. This research aims to find the implementation of administrative service, obstacles, and efforts to overcome the obstacles on implementations of administrative service. This research uses descriptive qualitative with a study case approach. The result shows: 1) The implementation of administrative service in Academic Subsection of the Faculty of Teacher Training and Education Sebelas Maret University are : services according to existing procedures, service has a certain period of time, services products vary, service facilities and infrastructure are quite adequate, basic service competence of service officers is adequate; 2) The obstacles are : there are service procedures that are not simple and complicated, service facilities are less up-to-date, there are service officers who do not understand information technology,  less number of service officers; 3) The efforts to handling the obstacles are simplifying the service procedure with online and offline mechanisms, doing a facilities procurement, holding a training to improve the service officer competence, making a request for additional service officers and utilizing the college students for internships.
Rancangan Mesin Cuci Hemat Energi, Ekonomis dan Ramah Lingkungan dengan Memperhatikan Aspek Ergonomi

Currently, the process of washing clothes is a commonly process that carried out in a household. To save human energy and washing time, a washing machine is used. There are a lot of washing machine models on the market, but in general the existing washing machine have standard functions, use electrical energy, quite expensive, and use materials that are less environmentally friendly. Based on these various shortcomings, it is necessary to design an innovative washing machine. The method used in this research is the concept of product design starting from seeing the needs to develop the desired product concept until making a product prototype. The washing machine designed in this study can be used to wash all types of clothes weighing 3 kilograms and is equipped with clothes drying device with a capacity of 20 clothes that rotates during the washing process, so it will speed up the drying process. In addition, the materials used come from secondhand goods, so the price is economic. This washing machine is not designed use electrical energy but kinetic energy, so it is environmentally friendly and can be also used as an exercise tool that can the user's body keep healthy and ergonomic when used.
A Novel Detection Model and Analysis of Face Mask Detection by Using Machine Learning

Since March 2020 Coronavirus (COVID-19) has affected the world very badly. As this Coronavirus decease spread mainly from person-to-person. Between people who are in close contact with one another through respiratory droplets produced when an infected person coughs, sneezes, or talks. These droplets can land in the mouths or noses of people who are nearby or possibly be inhaled into the lungs. Studies of this decease proved that wearing a face mask is one of the precautions to reduce the risk of viral infection of this decease. As it can help to prevent from viral transmission, at many public places as well as private places it is compulsory to wear a mask and correctly. Many public service providers are there where customers come to use that services. So, it is not possible to check manually whether customer has worn a mask or not. This technology can overcome this problem. In this paper we propose face mask detection using machine learning which is one of the efficient face mask detectors. The proposed system mainly consists of three steps that are. 1. Image pre-processing 2. Face detection and reading Dimensions 3. Face mask classifier. Our system is capable of detecting face with mask and without mask and it is integrated with webcam or cameras. This system will help to avoid the safety violation and will help to keep the track on safety.
An overview Implementation of an Internet of Things System for Smart Hospitals

Internet of Things (IoT) enable humans to urge high level of automate by establish system using sensors, interconnected devices and Internet. In ICU, patient monitoring is serious and most vital activity, as small delay in decision associated with patients’ treatment may cause permanent disability or maybe death. Most of ICU devices are equipped with various sensors to calculate health parameters, but to watch it all the time remains challenging job. We are proposing IOT based system, which may help to fast conveying and identifying emergency and initiate communication with healthcare staff and also helps to initiate proactive and quick treatment. This health care system reduces possibility of human mistakes, delay in communication and helps doctor to spare longer in decision with accurate observations.
READING COMPREHENSION DIFFICULTIES IN THE ESL CONTEXT: THE CAUSE AND EFFECT PERSPECTIVE

Reading holds the most significant place in the field of education since it functions as a means of communication in a literate society. It is a multifaceted process that develops only with practice, the ultimate goal of which is to derive meaning. Among the LSRW skills, reading is considered as a basic life skill, which is also the cornerstone for a child's success in school, and, indeed, throughout life. Individuals undoubtedly loose their opportunities for personal fulfillment and job success, if they lack the ability to read well. Moreover, reading is a complex cognitive process of decoding symbols in order to construct or derive meaning (i.e.,) reading comprehension. For most of the students, reading comprehension is more than a problem. There are numerous of factors that contribute to reading difficulties for many students and the primary grounds of their reading problems are mostly unknown. In this backdrop, the present paper focuses on some of the typical reading comprehension difficulties encountered by the learners of English and also suggests remedies for the same.
Elderly Monitoring – An EPS@ISEP 2020 Project

In the spring of 2020, six undergraduate students from diverse countries and engineering fields decided to design together a solution to monitor the elderly. This project was performed as part of the European Project Semester (EPS) programme at Instituto Superior de Engenharia do Porto (ISEP). The EM-BRACE solution encompasses two interconnected devices (a home station and a bracelet) and mobile/Web twin applications. The bracelet measures and transmits vital user data (pulse, temperature and impacts) to the home station, whereas the latter measures home environment parameters (temperature, humidity and pressure) and sends local and bracelet data to an Internet of Things (IoT) platform. This way, these data become accessible via the mobile/Web application. Thereby, EM-BRACE monitors the health and environment of the elderly and timely notifies caregivers about problems, contributing to the well-being of the elderly and their families.
A Select and Rewrite Approach to the Generation of Related Work Reports.

Comunicacio presentada al BIR 2021: 11th International Workshop on Bibliometric-enhanced Information Retrieval, celebrat l'1 d'abril de 2021 de manera virtual.
WACANA DALAM PERSPEKTIF NORMAN FAIRCLOUGH

This paper focuses its discussion on the issue of discourse in the perspective of Norman Fairclough. There are two major paradigms that underlie various perspectives in the study of discourse analysis, namely the formalist paradigm and the functional paradigm. The first view discourse is better understood and positioned as the largest unit of the linguistic unit, and separate from its social context. The second view discourse as specific focuses related to the function or use of language and become an integral part of its social context. Norman Fairclough built a middle ground and formulated a form of discourse analysis that referred to the critical paradigm. In a discourse production, it is always followed gradually by the production of identity, class production, ideological production, and power production. Discourse for Fairclough is an important form of social practice that reproduces and changes knowledge, identity, and social relations which include power relations, and at the same time formed by other social structures and practices.