Reviewerly/exHarmony huggingface dataset:
Clustering Patients With Personality Disorders Using C-Means Clustering Algorithm

Pada dasarnya, setiap individu memiliki potensi untuk memiliki gangguan kepribadian, tetapi masih dalam batas yang tepat. Namun ada orang-orang yang memiliki gangguan yang tak terkendali yang bisa membahayakan seseorang dari gangguan tersebut. Sangat penting untuk memetakan komorbiditas atau terjadinya lebih dari satu gangguan pada individu yang sama pada gangguan kepribadian dengan kecenderungannya. Jika profesional gagal memetakan salah satu diagnosis, pasien harus menderita Dissociative Identity Disorder (DID), yang merupakan jenis disosiasi serius yang menyebabkan hilangnya identitas. Penelitian ini bertujuan untuk mengelompokkan kasus-kasus gangguan kepribadian ke dalam beberapa kluster. Dalam penelitian ini, algoritma C-Means clustering akan digunakan untuk melakukan tugas clustering, kemudian kinerjanya akan divalidasi. Hasil penelitian menunjukkan bahwa C-Means clustering terbaik untuk melakukan pengelompokan pada dataset gangguan kepribadian dengan menggunakan kombinasi parameter fuzzy m = 3 untuk menghitung centroid dan m = 2 untuk menghitung fungsi keanggotaan. Skor validasi adalah 0,94 untuk kemurnian klaster dan 0,2 untuk entropi klaster yang mengindikasikan klaster yang baik. Essentially, every individual has potential to have a personality disorder but still within an appropriate limit. But there are those who have an uncontrollable trigger which harms an individual from the disorder. It is very important to map comorbidity or the occurrence of more than one disorder in the same individual on personality disorders with its tendencies. At worst, if professionals fail to map any of the diagnosis, the patient will have to suffer from Dissociative Identity Disorder (DID), which is a serious type of dissociation that causes a loss of sense of identity. This research aims to cluster personality disorder cases into multiple clusters. In this research, the C-Means clustering algorithm is going to be used to do the clustering task, then its performance will be validated. The result shows that the C-Means clustering was best to perform clustering on the personality disorder dataset with the combination of parameter m = 3 for calculating centroid and m = 2 for calculating membership function. The validation score was 0.94 for cluster purity and 0.2 for cluster entropy which indicate a good clustering.
A Year After the Outbreak of COVID-19: How Has Evolved the Students' Perception on the Online Learning?

During the last year students have been exposed to a continuous evolution of the learning processes (fully online, blended, parallel blended, rotation of the face-to-face activities, etc.) and, often, to a lot of different technologies, with only one common denominator: the carrying out of the educational activities. Despite the peculiarity of the pandemic situation, one year is a time long enough to analyze the evolution of the students’ perceptions and understand if could be put in relation with a possible start-up of processes of technology innovation and/or acceptance. In this article, we present the outcomes of an investigation conducted by means of an online survey at almost one year distance from the first one that involved, like this time, the students of the bachelor course in Educational Science of the University of Tor Vergata: this year 159 students (98% women). We have been able to explore the relevance of many categories of factors: intrinsic to the characteristics of the learning ecosystems, personal, contextual, related to the educational activities, perceived values of the technology-based processes. It appears that the main causal chain moves from the characteristics of the learning ecosystem, toward the impressions about the learning activities and their effectiveness to, finally, the future intentions and expectations. Not very relevant appear to be individual and contextual factors. The overall impressions of the students about the online activities seem to be positive but personal setting (equipment and connectivity) appear to be more effective than that provided by the university, possibly to underline criticalities met with the delivering of parallel blended activities. In addition, students deem very importantly the collaboration/interaction among peers and with the teachers and, as well, collaborative and design activities, while, on the contrary, most of the implemented learning activities seem to have a transmissive nature.
Cryptocurrency tumbler: legality, legalization, criminalization

Tumbler is a service provided for cryptocurrencies in cases when anonymity is endangered and the owner of virtual “coins” can be traced. Legality of cryptocurrency tumblers can be described as a “grey zone”, for the reason that not even cryptovalues are legalized and “mixing” in tumblers is a special treatment of it. In this paper author by analytical method, by descriptive method and by comparative method explores and displays the all open questions of cryptocurrency tumblers, conducting their legality, legalization and especially potential criminalization in the future. Finally, the author concludes that legality, legalization and criminalization are firmly connected, interdependent and legislators worldwide should de lege ferenda pay extreme caution during tumbler legalization, especially for the purpose of later criminalization.
Block chain with Bitcoin Innovations using Banking database

Blockchain is perhaps the most advanced money globe-trotter organization development and exchange supporting through Bitcoin, etherium as of now, if the money is transported off an individual, the significant bank will charge a trade cost of 0.2 percent from the sender or recipient's record. To overcome the issue, we separate and improve the Blockchain pack containing diverse information times for its benefit, the money exchange, the trading of assets for execution. The blockchain business is unstructured trade prevention to get the accounts and bitcoins and exchange.
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues

Today's state-of-the-art methods for 3D object detection are based on lidar, stereo, or monocular cameras. Lidar-based methods achieve the best accuracy, but have a large footprint, high cost, and mechanically-limited angular sampling rates, resulting in low spatial resolution at long ranges. Recent approaches based on low-cost monocular or stereo cameras promise to overcome these limitations but struggle in low-light or low-contrast regions as they rely on passive CMOS sensors. In this work, we propose a novel 3D object detection modality that exploits temporal illumination cues from a low-cost monocular gated imager. We propose a novel deep detector architecture, Gated3D, that is tailored to temporal illumination cues from three gated images. Gated images allow us to exploit mature 2D object feature extractors that guide the 3D predictions through a frustum segment estimation. We assess the proposed method on a novel 3D detection dataset that includes gated imagery captured in over 10,000 km of driving data. We validate that our method outperforms state-of-the-art monocular and stereo approaches at long distances. We will release our code and dataset, opening up a new sensor modality as an avenue to replace lidar in autonomous driving.
PELAKSANAAN BONGKAR MUAT PETIKEMAS MENGGUNAKAN SISTEM ITC DI PT.PELABUHAN INDONESIA (PERSERO) III CABANG BENOA

PT.PelindoIII (Persero) Branch Benoa Bali engaged in port service ship and goods services, as one of the state-owned enterprises engaged in services and goods that excelence to its customer. Particular in the trade system and international shipments using the services costumer.To achieve simplicity in services on goods PT.Pelindo III (Persero) Branch Benoa Bali, using a system of Information Communication Technology (ITC), but is does not affect the performance of service and goods as well as boat storage viable, and well-organized safe, and errors can be minimized.By using the technology systemof Information Communication Technology (ITC). PT.Pelindo III (Persero) Branch Benoa Bali can optimze the performance of services, services processes both ships and goods in a fast, safe and easy.Keywords: services process, Goods, Container
TECHNOLOGIES OF QUANTUM CRYPTOGRAPHY

The article discusses the main classical algorithms of quantum cryptography, explaining the principle of operation of the mechanism for ensuring information security in the transmission of messages with the analysis of the polarization of photons. Conclusions are made about the most optimal variants of the combination of algorithms.
Pengembangan Komik Edukasi: Komikadp untuk Mengurangi Kekerasan dalam Pacaran

The purpose of this research is to develop Komikadp educational comics. This study uses the research, research and development (R&amp;D) 4D model. The subject of this research was an expert test by the UNTIRTA Guidance and Counseling lecturer, Mr. Arga Satrio Prabowo M, Pd. Field testing by all Muhammadiyah Junior High Schools throughout DKI Jakarta. Collecting data using interviews and assessment sheets consisting of a checklist for quantitative data and a description for qualitative data. After going through the define, design, develop stages, the Komikadp educational comic prototype obtained an expert test assessment and a very feasible field test with expert test details with an average value of 88.70% and field tests with an average value of 81.79%. The comments obtained from the expert test are that the comic is already very good, it needs further development and the story continues so that this comic does not stop here. The comments obtained from the field test of the media used are in accordance with the character of teenagers, interesting, creative, simple stories but rich in meaning, and very related to today's youth, it's just that the cause and effect need to be added and how to overcome them by counseling the BK teacher. The final decision obtained from the results of the expert test and field test is acceptable, appropriate, and feasible so that it can be used as a basis for carrying out the next stage without improvement
DIDACTIC POTENTIAL OF MOBILE LEARNING IN HIGHER EDUCATION

The growing availability of modern mobile smartphones and tablet computers is leading to an increase in the volume of content users consumed, including educational content. The development of mobile technologies opens up many opportunities for learning in higher education institutions. However, the use of mobile learning in student training should not be a spontaneous process, it is necessary to create pedagogically substantiate approaches and training methods. This article analyzes and interprets the results of existing research in pedagogy regarding the didactic potential of mobile learning in higher education system. A classification of didactic properties and functions of mobile learning is developed and proposed. The main didactic properties of mobile learning include: by the didactic feature of mobile learning — ten properties; by the technological feature of mobile learning — eleven properties. The main didactic functions of mobile learning are: by the didactic feature of mobile learning — eleven functions; by the technological feature of mobile learning — five functions. The didactic potential of mobile learning, due to its inherent didactic properties and functions, makes the educational process more effective, as well as contributes to the guaranteed achievement of students’ educational goals and planned learning outcomes.
UNDERSTANDING OF E-LEARNING MODEL IN THE COVID-19 PANDEMIC STUDENTS OF INDONESIAN LANGUAGE AND LITERATURE EDUCATION STUDY PROGRAM. UKI TORAJA

This study aims to determine student understanding in e-learning learning. Understanding is a way of thinking, working and behaving in one's self which is formed by the five senses and is influenced by experience. This research is a descriptive qualitative research that aims to determine students' understanding of e-learning learning. The presence of researchers in this study as data collectors. The subject of this research is the Class of Indonesian Language and Literature Education Study Program FKIP UKI Toraja. The instrument used in this research is a questionnaire. Based on the results of the data analysis that has been described, the researchers found that students felt that the learning environment in online learning did not support them in the teaching and learning process. Likewise with the interaction between students where they face some problems to interact. This is indicated by the high percentage of student disapproval of the statement given. Keywords: E-learning, environment, interaction, understanding, students
Interactive Self-Assembling Agent Ensembles

In this paper, we bridge the gap between procedural content generation (PCG) and user-generated content (UGC) by proposing and demonstrating an interactive agent-based model of self-assembling ensembles that can be directed though user input. We motivate these efforts by considering the opportunities technology provides to pursue game designs based on according game design frameworks. We present three different use cases of the proposed model that emphasize its potential to (1) self-assemble into predefined 3D graphical assets, (2) define new structures in the context of virtual environments by self-assembling layers on the surfaces of arbitrary 3D objects, and (3) allow novel structures to self-assemble only considering the model’s configuration and no external dependencies. To address the performance restrictions in computer games, we realized the prototypical model implementation by means of an efficient entity component system (ECS). We conclude the paper with an outlook on future steps to further explore novel interactive, dynamic PCG mechanics and to ensure their efficiency.
Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models

Our world is more connected than ever before.Sadly, however, this highly connected world has made it easier to bully, insult, and propagate hate speech on the cyberspace.Even though researchers and companies alike have started investigating this real-world problem, the question remains as to why users are increasingly being exposed to hate and discrimination online.In fact, the noticeable and persistent increase in harmful language on social media platforms indicates that the situation is, actually, only getting worse.Hence, in this work, we show that contemporary ML methods can help tackle this challenge in an accurate and cost-effective manner.Our experiments demonstrate that a universal approach combining transfer learning methods and state-of-the-art Transformer architectures can trigger the efficient development of toxic language detection models.Consequently, with this universal approach, we provide platform providers with a simplistic approach capable of enabling the automated moderation of user-generated content, and as a result, hope to contribute to making the web a safer place.
Long-Term Temporally Consistent Unpaired Video Translation From Simulated Surgical 3D Data

Research in unpaired video translation has mainly focused on short-term temporal consistency by conditioning on neighboring frames. However for transfer from simulated to photorealistic sequences, available information on the underlying geometry offers potential for achieving global consistency across views. We propose a novel approach which combines unpaired image translation with neural rendering to transfer simulated to photorealistic surgical abdominal scenes. By introducing global learnable textures and a lighting-invariant view-consistency loss, our method produces consistent translations of arbitrary views and thus enables long-term consistent video synthesis. We design and test our model to generate video sequences from minimally-invasive surgical abdominal scenes. Because labeled data is often limited in this domain, photorealistic data where ground truth information from the simulated domain is preserved is especially relevant. By extending existing image-based methods to view-consistent videos, we aim to impact the applicability of simulated training and evaluation environments for surgical applications. Code and data will be made publicly available soon.
Forward Collision Avoidance System in a Self-driving Remote Controlled Car: An Application of Machine Intelligence

Abstract: The paper discusses the experimental vision-based forward collision avoidance system (FORCAS), an autonomous bot car based on machine learning using Raspberry Pi as a processing platform. Using HD camera images as a primary input, Raspberry Pi combines processes and predict path using convolutional neural network and distance estimation models. It distinguishes the stationary objects on a drivable road surface and estimates their distances from a single camera’s view. Classification algorithms run on real-time images controls the steering of the car. On the basis of a detected object, it decides to avoid, stop or run over it. Keywords: Forward collision avoidance system (FORCAS), Raspberry Pi, Tensorflow, remote controlled car Cite this Article: Zankhana H. Shah, Tirth Patel, Vatsal Patel, Adhunik Rajput. Forward Collision Avoidance System in a Self-driving Remote Controlled Car: An Application of Machine Intelligence. Journal of Artificial Intelligence Research & Advances. 2019; 6(3): 13–18p.
Research on the Cultivation of Multiple Thinking Ability in Senior High School English Teaching

In the context of the new curriculum reform, the traditional “knowledge instilling” teaching method is no longer applicable to the current high school English teaching. The new curriculum reform pays more attention to the cultivation of students' multiple thinking ability, and requires teachers to take effective training strategies to develop students' divergent thinking, logical thinking, critical thinking and creative thinking ability, so as to promote the comprehensive improvement of students' English quality and maximize the value of high school English teaching.
Peningkatan Efektivitas Pembelajaran dengan Moodle sebagai Media Pembelajaran: Metode Literatur

Increasing the effectiveness of learning is a way to achieve the success of educational development. One way to achieve learning effectiveness is to use learning media to simplify and make the learning process effective. This research aims to reveal as many empirical studies on effectiveness as possible through articles published in international journals to explain to educators the impact of implementing Moodle as a learning media. This research used a literature study method. The results of this study provide an explanation that Moodle can improve student achievement, motivation, communication, interest, discipline and increase self-confidence.
THE EFFECT OF NEBULIZED SALBUTAMOL ON SERUM POTASSIUM AND BLOOD SUGAR LEVEL OF ASTHMATIC PATIENTS

Background: To evaluate the effect of nebulized salbutamol used in the management of patients with asthma who have normal serum potassium and blood glucose levels.&#x0D; Methods: Hospital based prospective study conducted on 30 children mild exacerbation of asthma who needed two doses of 2.5 mg nebulized salbutamol, 10 minutes apart for the relief of their symptoms will be include.&#x0D; Results: The potassium mean was significantly decreased after 1 hour of nebulizer administration. The random blood sugar mean was significantly increased after 1 hour of nebulizer administration (p&lt;0.001).&#x0D; Conclusions: The nebulizer applying salbutamol has a profound effect in lowering the Potassium level and increasing blood glucose level after 60 minutes of administration.&#x0D; Keywords: effect, nebulized, salbutamol, blood sugar, serum potassium
PELATIHAN PENGOLAHAN DATA MENGGUNAKAN SPSS (STATISTICAL PRODUCT AND SERVICE SOLUTION) UNTUK MAHASISWA TINGKAT AKHIR SEKOLAH TINGGI ILMU EKONOMI INDRAGIRI (STIE-I) RENGAT

The application that is mostly still widely used among lecturers, researchers and students in processing statistical data is the SPSS (Statistical Product and Service Solution) program. SPSS is a software with a high degree of accuracy, has simple features and is easy to understand without having to understand the programming language. Data processing is a vital part of writing a thesis, but most students are still confused in processing research data, so they have to spend money to process data. Starting from this, training on SPSS for final year students was held via Google Meet, because the situation was still in the COVID-19 (Corona Virus Desease-2019)pandemic, even though they were very enthusiastic about participating in this activity, this was evident from the many responses and questions from participants after the speakers delivered the material.
"Program, learn and play !". The course of extracurricula r activities for students of grades 3–6

The article substantiates the relevance of early teaching in programming and describes a possible variant of such work with students in grades 3–6 as part of the course of extracurricular activities of general intellectual orientation. The potential of the course in achieving personal, metasubject and subject results by students is revealed. Thematic planning and content of teaching younger schoolchildren in the Scratch programming environment are presented. The main idea of the methodology for conducting extracurricular activities with junior schoolchildren is stated: working with ready-made examples according to the "use - change - addition - creation" scheme, which allows students to create digital products (multimedia postcards, interactive posters, games, simulators and quizzes).
Efectos en el rendimiento académico por uso de dispositivos electrónicos

El uso de dispositivos electronicos como apoyo pedagogico en las aulas va orientado a incentivar el interes y el desarrollo de nuevas formas de pensar y de solucionar problemas. El estudio contrasta las realidades de uso y aprovechamiento de los dispositivos moviles de acuerdo al nivel de escolaridad en el que se hallan los estudiantes. Este trabajo es de revision bibliografica, determinando que las funcionalidades de los dispositivos moviles constituyen un aporte importante para la educacion, y se concluye en que las nuevas tecnologias deben ser incorporadas siempre, cuidando no caer en excesos para evitar conductas adictivas, ni llegar al hostigamiento ni agotamiento por el uso intensivo de la misma.Palabras clave: Conducta, Tics, estudiantes, dispositivos electronicos. ABSTRACTThe use of electronic devices as pedagogical support in the classroom is aimed at encouraging interest and the development of new ways of thinking and problem solving. The study contrasts the realities of use and exploitation of mobile devices according to the level of schooling of the students. This work is a literature review, determining that the functionalities of mobile devices are an important contribution to education, and concludes that new technologies should always be incorporated, taking care not to fall into excesses to avoid addictive behaviors, nor to reach harassment or exhaustion by the intensive use of it.Keywords: Behavior, ICTs, students, electronic devices.