Reviewerly/exHarmony huggingface dataset:
Enhanced constrained local models for gender prediction

Face land-marking, defined as the detection and positioning of distinctive characteristics, is a crucial goal shared by various organizations, ranging from biometric recognition to mental state comprehension. Despite its apparent simplicity, this problem has been extensively investigated because of inherent face variability and a variety of confusing variables such as posture, voice, illumination, and occlusions. In this paper, an integrated mount model is created to increase the power of constrained local models, and a ground-breaking result for feature detection is obtained using this model. Furthermore, four classifiers have been used in the level of gender prediction. The results of the experiment showed that the proposed model performs admirably.
Penerapan Metode Pengembangan Sistem Extreme Programing (XP) Pada Aplikasi Presensi Karyawan dengan QR Code

Attendance is the process of recording and managing attendance data that is carried out daily during working hours at each company. Errors in recording employee attendance greatly affect employee earnings. So, the validity of the recording is needed. The attendance recording system manually is error-prone and its recapitulation takes a long time. To overcome this, it is necessary to develop an attendance system that can be done quickly and produce valid reports regarding the time of entry and exit. In this study, a presence application will be developed using QR Code scanning by applying the Extreme Programming (XP) method. The extreme programming (XP) method offers stages in a relatively short time. Based on black box testing, the generated QR Code presence application is in accordance with user needs with a functionality test value of 100%
Transmathematica 2021

Transmathematica 2021: The 3rd International Conference on Total Systems was held online, using Zoom, on 5th July 2021 from 12.45 - 18.00 London Time. Edited video recordings were uploaded to a new Transmathematica channel on YouTube. We now present the conference proceedings and announce Transmathematica 2022: The 4th International Conference on Total Systems.
Inclusive bidirectional conversion system between Chittagonian and standard Bangla

In recent years, the Bangla language has come out as a very prominent figure in the world of natural language processing. Many researchers have produced exemplary works on the language, but there has not been any notable work on its highly enriched dialects due to the lack of resources and the diversity and complexity in its grammatical structure. This paper has suggested a bidirectional conversion system for one of the most widely used dialects of Bangla; the Chittagonian dialect. Our method employs a bidirectional lexicon that uses binary search, word-to-word mapping, and morphological transformations. The system has achieved an accuracy rate of 95.86% for Chittagonian to standard Bangla and 93.89% in the case of standard Bangla to Chittagonian. We have also provided an efficient word suggestion module, and it has yielded satisfactory results.
Alt-coin Price Trend Prediction using Machine Learning

Abstract: Nowadays, crypto currencies offers a new way of secure trading and exchanging and has become increasingly important in our financial system. However, predictions of this are still challenging. In recent years, Altcoin is the most valuable in the crypto currency market. However, prices of Altcoin have highly fluctuated which make them very difficult to predict. Hence, this project aims to discover the most efficient and highest accuracy model to predict Altcoin prices by using machine learning algorithms. In this project, we tried to estimate the Altcoin price precisely taking into consideration various parameters that affect the Altcoin value. We predicatively model the price of several popular crypto currencies, including Bit coin (BTC), Ethereum (ETH), Ripple (XRP), Stellar Lumens (XLM), Litecoin (LT
Supplemental Material for When the Eyes Have It and When Not: How Multiple Sources of Activation Combine to Guide Eye Movements During Multiattribute Decision Making

Feedback Procedure During Exemplar Learning in Experiment 1When participants made a correct response, the attribute value appeared in the rectangle.The color of the rectangle changed from white to green and a high-pitched tone was presented to indicate a correct response.Feedback was visible for 3 s.If a wrong response was made, for 1 s the value of the rectangle the participant had chosen appeared in red.The rectangle turned red and a low-pitched tone was presented to indicate a wrong response.Immediately after that, the wrong attribute value disappeared and the correct value appeared in the correct location for 2 s.A color change from white to green of the correct rectangle indicated that this was the correct location for the auditorily presented word.
Aesthetic experience as a framing of reality: the impact of digital media on visual perception, between pandemic context and museum approach

The situation caused by the coronavirus pandemic has not qualitatively changed our aesthetic experience, but rather intensified certain perceptual habits that had already been in place for quite a long time, highlighting their characteristics. In particular, the relationship between movement and framing and our close familiarity with digital media in the visual aesthetic experience. This aspect has been acknowledged in the museum context, but we are still at the beginning of a path leading to a more conscious implementation of the potential and creative value of an approach to art not only «in presence», but also «at a distance» through electronic devices. The pandemic has shown how radical and unavoidable is the need for beauty and the multiplicity of possible ways to respond to it.
Research on Factors Influencing Decision-Making About Pursuing Postgraduate Education Among Chinese Graduates with Work Experience

In recent years, the rapid expansion of postgraduate enrolment in higher educational institutions (HEIs) in China has stimulated graduates to pursue postgraduate education after obtaining several years of work experience.This paper investigated the factors that influence this group of students' decision-making about enrolling for postgraduate studies by applying regression analysis.Based on the three influencing factors identified, namely Academic Performance Satisfaction (APS), Satisfaction of Major (SM), and Family Support (FS), a theoretical model of postgraduate decision-making was developed.This study also proposed practical suggestions for HEIs, postgraduate students, and their families.
Intelligent System for Dispatch Ranking of Generating Units in Thermoelectric Power-Plants

HIGHLIGHTS Ranking for dispatching of power generator units. Introducing the Modified Analytic Hierarchy Process (MAHP). Integration of supervisory systems in thermal power plants. Diagnosing problems in generating units.
A middleware for systems consumes Ethereum data in soft real-time: a Semantic Web approach

Blockchain is already advancing in journeys beyond cryptocurrency applications, and Ethereum, already called the world's computer, is going on a path that intends to reinvent the internet or Web 3.0, currently the leading platform for deploying so-called distributed applications (DApp). The growth of these Dapps in different spheres of society, as Smart Cities and Industry 4.0 IoT applications demand new proposals and models that integrate Ethereum and its ecosystem data with existing datasets on the traditional Web. This work presents our efforts to apply ontologies representing an Ethereum network and ecosystem using the Semantic Web model to extract and link its data. We show EthExtras a new ontology that extends and simplifies the EthOn, and as proof of concept and sample of use, we design a middleware web that exposed as RDF graphs the Ethereum data in soft real-time.
Penerapan Metode Decision Tree Dalam Menentukan Kelulusan Mahasiswa

The purpose of this study is to produce a prediction system for determining the determination of student graduation on time with the Decision Tree method at Pagaralam High School of Technology. If many students graduate not on time or exceed the specified limit will result in the accumulation of students in large numbers due to the imbalance of the number of students entering and exiting each graduation period so that it can cause the academic process does not run optimally. Decision Tree is a classification algorithm that can predict large amounts of data. The development method used is the Rapid Application Develoment (RAD) method consisting of Requirement Planning (Requirements Planning), Workshop Design, Implementation (Implementation). This research can help the Pagaralam High School of Technology in seeing whether students will graduate on time or not
The Relationship Between Digital Literacy and Learning Outcomes in Biology Learning for Students

The study aims to determine the relationship between digital literacy and the learning results on the biology of class vii for the 12th country school class vii. This type of research is a quantitative study with a correlational method. The population in this study is class vii in the 12 countries' middle schools. The samples used in this study number 88 students. Research instruments using tankettes. The data analysis technique used is by using a product-moment correlation. Studies show the class vii c, d, e, and f's digital literacy of class vii c, d, e, and f get an average of 60.77 present in the moderate category. In contrast, the results of the student biology study of students get an average of 68.02 gifts in the intermediate class. Product correlation analysis between x variables and y variables show that r recount (0.290) &gt; t-table (1.987) so that there is a link between digital literacy and the study of the biological student vii class 12 countries
Kigiryama Phonology

This paper provides an in-depth introduction to the Phonology of Kigiryama language.Phonetics is the study of how the sounds of the world's languages are produced and perceived.Phonology is the study of how these sounds are categorized, contrasted, and organized into larger structures in each language.In this paper, we will begin with a description of the phonotactics of Kigiryama language and Kigiryama syllable structure.Finally, this paper will analyze the phonological processes involved with both vowels and consonants in the language in question.The aim of the study is to give a phonological description of Kigiryama vowels and consonants with a special reference to the phonological processes that occur in these phonemes.Data will be collected through interview schedules and focus group discussions.Analysis of the data will involve first translating the data into English, then classifying and describing the words into the phonological processes of the vowels and consonants.The findings will show that the processes of glide formation, vowel deletion, vowel insertion and vowel height assimilation occur mainly with vowels while the processes of palatalization, labialization and assibilation occur mainly with consonants.Throughout the paper, we will work with real data from a diverse sample of the Kigiryama language.This information is fundamental to any linguistic study since it forms a foundation upon which various levels of linguistic analysis of Kigiyama is based.
Technique of Semantic Unambiguity for a Concept Selection of Terms in Focused Contexts with Reinforcement Learning Integration

Nowadays, there have been many developments of learning processes for computers to understand the meaning of words and their semantic similarities in order for the computers to better communicate, interact and exchange information with humans. Semantic learning development is a major issue because computers cannot comprehend the suitable meaning of words in the concerning concept. As a result, this research is proposing and exploring the efficiency of the technique of semantic unambiguity in order to clarify the Term Concepts in the focused contexts. From the case study with 22 contexts, 62 term, and 475 synsets, it was shown that Reinforcement Learning could accurately select the suitable term concepts for the focused contexts, with Precision = 0.7756, Recall = 0.7756 and F-Measure = 0.7735. Therefore, it can be concluded that the Technique of Semantic Unambiguity for a Concept Selection of Terms in Focused Contexts has high accuracy when applying the Reinforcement Learning.
Does Social Media Provoked to Cyber Deception? An Illustrative Based Study of Youth

Purpose: The present study was conducted with the sole aim to explore the role of social media in promotion of cyber deception among youth which further lead to deviance among the existing societal order.&#x0D; Methodology: sample size of 354 respondents (youth) were randomly selected for taking primary data through structured questionnaire technique. Further, the primary data was coded into SPSS for further analysis in terms of descriptive and inferential statistics&#x0D; Findings: Based on the study results, the study explored that cyber deception caused by the excessive usage of social media which further lead to psychological and physical problems among youth. Moreover, virtual social world and social games are the stakeholders of cyber deception; online shopping of various companies intentionally did cyber deception; content communities and social networking users are the major deception; youth are sharing fake picture from their profile for deception. Likewise, the study also explored that manipulation of sender identity information. Female are more indulged in deceptive behavior than male, usually girl’s misuse of social media sites to influence and cash wealthy and loved ones and kidnaping is done through cyber deception&#x0D; Implications: Thus keeping in view the above results, the government should make such polices to overcome on the premises of the study in an urgent basis with corroboration to busy the future generation in more positive ground on sustainable development projects were the order of the day, along with parents must focus on their youth in terms of proper check and balance on weekly basis with corroboration of proper socialization will subjugate the tumbling factor in today world i.e., cyber deception
Service request management system application development with rapid application development method using web-based bubble sort algorithm

The Helpdesk system is a system to facilitate the reporting of technological information damage. Helpdesk systems are already widely used or developed somewhere with a wide variety of technologies and systems. Monitoring system as a process to collect data from various sources and helpdesk as the implementer of the monitoring system is required to be active to monitor reports from users. The helpdesk is a center point where problems or issues are reported in a coordinated and coordinated manner. The helpdesk is a complementary part of a function, service, and is responsible for problem solving. This is one of the obstacles in the implementation of work is still found errors in the process of handling remote hands or trouble shoot reports daily, weekly and monthly. Because currently the data and problem handling reports are still manual so it is difficult to see the status of handling. Helpdesk design system at PT. TH Indoplantations is a system where to facilitate users or customers and the Helpdesk data center division in processing a technical problem that occurs in the data center or customer or user devices located in the data center PT. TH Indoplantations. Based on the concept and design of a web-based helpdesk system at PT. TH Indoplantations can help in dealing with interference that occurs in customer devices.
Basic Website Creation Training for Muhammadiyah Mamala High School Students in Central Maluku Regency

The team's implementation of community service activities provides materials and training to Muhammadiyah Mamala High School students on how to easily build a website from the ground up using a content management system (CMS) until the website is successfully uploaded to the Internet (hosting), both for free and for a fee. The goal of this community service activity is for students to gain information technology knowledge that is not limited to being able to access information, but also to being able to create a container/information medium in the form of a website and, hopefully, to help the school in developing the school website in the future
Supplemental Material for Assessment Procedures in Anonymously Written Threats of Harm and Violence

a URL, doi, or other permanent path for accessing the specified information in a public, openaccess repository, and the specified information must be provided in a format that is time-stamped, immutable, and permanent.Qualifying public, open-access repositories are committed to preserving data, materials, and/or registered analysis plans and keeping them publicly accessible via the web in perpetuity.Examples include the Open Science Framework (OSF) and the various Dataverse networks.Hundreds of other qualifying data/materials repositories are listed at http://re3data.org/.Preregistration of an analysis plan must take place via a publicly accessible registry system (e.g., OSF, ClinicalTrials.govor other trial registries in the WHO Registry Network, institutional registration systems).Personal websites and most departmental websites do not qualify as repositories.
Pengembangan Sistem Mata Kuliah Manajemen Proyek Teknologi Informasi dengan Metode Agile

The work course at Ahmad Dahlan University's Informatics Engineering is a course that aims for students to go directly or get projects related to technology development. One of the creative courses that students must take in semester 6 is Information Technology Project Management (MPTI), where the course is conducted in groups. Processing of final grades from MPTI courses from 3 components, namely supervisors, examiners and industry supervisors (partners). Because the value components are from various sources, a system is needed to process all processes from registration to processing the final value. The agile development method is a development method that prioritizes input from partners as users, besides that the agile method has advantages including fast, adaptive, iterative. The model used in system development in agile is the Dynamic Systems Development Method. Data collection was done by literature study, observation, and interviews. The system development stage using an iterative model includes the needs analysis stage, the design stage, the implementation stage, the testing stage, and the evaluation stage. Implementation using the PHP programming language and the Laravel framework. Testing is done black box test. The results of the research produced an information system and tested. Tests carried out using a black box test which resulted in 82,76%
Reversible data hiding for JPEG images with a cascaded structure

Since Joint Photographic Experts Group is a typical image compression standard, so the reversible data hiding research on Joint Photographic Experts Group has received a lot of attention. There are two main research methods in Joint Photographic Experts Group-reversible data hiding: the method based on modifying DCT coefficients and the method based on variable length coding mapping. The disadvantage of the first one is that the visual loss is always inevitable during the DCT-coefficient modification process, while the second method often has insufficient embedding capacity and excessive file expansion. In order to solve the above problems, this paper proposes a cascaded reversible data hiding scheme, which builds a distortion minimisation scheme based on the DCT coefficients, and then cascades a file expansion suppression scheme based on the variable length coding mapping. For a particular case during the payload distribution, in this paper, all the secret information is embedded into DCT coefficients with a distortion minimisation scheme, and then the auxiliary information generated in the previous process is embedded in the variable length coding sequence with a scheme to optimise the file size expansion. The experimental results demonstrate the superiority of the proposed method in high-quality factor circumstances in terms of visual quality and file expansion.
POLITENESS STRATEGIES IN ONLINE LEARNING INTERACTION: EXPLORING POLITENESS IN WHATSAPP TEXT MESSAGING DURING COVID-19 PANDEMIC

The study aims to explore the politeness strategies employed by students to their lecturer via WhattsApp. This study applies qualitative research method by describing the phenomenon of the language. To get the purpose of this study, there are some procedures applied. They are collecting, analyzing, and interpreting the narrative data, conducted at English Department Students at Universitas Methodist Indonesia in Indonesia in 2021. There 40 students in WhatssApp Group Application in Introduction to English Poetry Class. The data are then analyzed based on the politeness strategies’s theory proposed by Brown and Levinson (1987). By transcribing, selecting, and interpreting the WhattsApp Text Messaging of the students when giving comments to the lecture’s instruction, it is found that there are some expressions such as greetings, Address terms, Thanks, and Apologies applied by students in WhatsApp Text Messaging. Those expressions belong to positive and negative politeness strategies. The positive politeness strategies are dominantly applied by students. These strategies are to minimize threat when giving comments for every instruction created by lecturer. It strengthens that students try to minimize the face threat. They treat their lecturer as the superior person who has power in the class. In short, the harmonious relationship is maintaining even in online learning communication.
Transfer learning for cancer diagnosis in histopathological images

Transfer learning allows us to exploit knowledge gained from one task to assist in solving another but relevant task. In modern computer vision research, the question is which architecture performs better for a given dataset. In this paper, we compare the performance of 14 pre-trained ImageNet models on the histopathologic cancer detection dataset, where each model has been configured as naive model, feature extractor model, or fine-tuned model. Densenet161 has been shown to have high precision whilst Resnet101 has a high recall. A high precision model is suitable to be used when follow-up examination cost is high, whilst low precision but a high recall/sensitivity model can be used when the cost of follow-up examination is low. Results also show that transfer learning helps to converge a model faster.
Penerapan Model Pembelajaran Kooperatif Tipe Team Assisted Individualization (TAI) untuk Meningkatkan Aktivitas dan Hasil Belajar Siswa pada Mata Pelajaran Ekonomi di SMA Negeri 2 Denpasar

The study aimed to find out (1) the improvement of student’s learning activity in economic subjects by implementing team assisted individualization model. (2) the improvement of student’s learning outcomes by implementing team assisted individualization model. This research was CAR that was done in 2 cycles. The subject was 45 tenth graders in SMA Negeri 2 Denpasar. The objects of the study were students’ learning activities and learning outcomes. The study was quantitative research where the data source used primary data. The data was collected through observation and test. The results showed that, (1) TAI model increase student’s learning activities, the average in the first cycle of 6.75 with active category, then in the second cycle it increased to 8,85 in the active category. (2) The implementation of the TAI improves student’s learning outcomes, with the average of 67.11 in the sufficient category, then in the second cycle it increased to 80,11 with a good category.