Reviewerly/exHarmony huggingface dataset:
A Comprehensive Evaluation of OpenFace 2.0 Gaze Tracking

Gaze tracking is widely used for various human-computer interaction (HCI) applications. One of the exciting pieces of gaze tracking and analysis software is Openface 2.0, an open-source and powerful facial landmark tracking toolkit that enables real-time head pose tracking, eye gaze estimation, and action unit recognition with webcams. However, despite its various advantages, many researchers are concerned about the low accuracy and unstable performance of OpenFace 2.0, mainly gaze tracking. Indeed, the authors of OpenFace describe their gaze tracking as an estimation instead of accurate computation, with certain limitations which are not systematically explored or explained by the authors or previous research. Therefore, this paper aims to evaluate OpenFace 2.0 gaze tracking under various experimental settings. Specifically, the results may provide insightful information about how OpenFace 2.0 gaze-tracking performance may change when conditions such as the distance between users and the camera, lighting, camera position, user head pose, and facial obfuscation vary. The evaluation could especially benefit researchers who intend to use OpenFace 2.0 gaze tracking in less favorable environments and settings.
The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research

In this paper, we investigate the practical relevance of explainable artificial intelligence (XAI) with a special focus on the producing industries and relate them to the current state of academic XAI research. Our findings are based on an extensive series of interviews regarding the role and applicability of XAI along the Machine Learning (ML) lifecycle in current industrial practice and its expected relevance in the future. The interviews were conducted among a great variety of roles and key stakeholders from different industry sectors. On top of that, we outline the state of XAI research by providing a concise review of the relevant literature. This enables us to provide an encompassing overview covering the opinions of the surveyed persons as well as the current state of academic research. By comparing our interview results with the current research approaches we reveal several discrepancies. While a multitude of different XAI approaches exists, most of them are centered around the model evaluation phase and data scientists. Their versatile capabilities for other stages are currently either not sufficiently explored or not popular among practitioners. In line with existing work, our findings also confirm that more efforts are needed to enable also non-expert users' interpretation and understanding of opaque AI models with existing methods and frameworks.
E-voting, Information Gap, and The Digital Divide in Zimbabwe

The objective of this research was to establish if Zimbabwe has the potential and Information Communication Technology (ICT) capacity to implement e-voting methods in the country's often discredited electoral process. The study adopted qualitative methods and secondary data collected from relevant reports, questionnaires randomly distributed to the general populace as well as interviews with Zimbabwe Electoral Commission (ZEC) and the Postal and Telecommunications Regulatory Authority of Zimbabwe (POTRAZ) officials. The paper highlights the global and national status of ICT adoption in Zimbabwe which is the key driver to the successful implementation of e-voting, internet coverage, and use in the country. The research also investigated how Zimbabwe citizens in the diaspora, through new Internet platforms, can exercise their right to participate in the country's political discourse and vote using the e-voting model. The findings indicate that though it can be done, it is not being practiced. Hence citizens in the diaspora are being excluded from the electoral process. The research findings also give credence suggesting Zimbabwe has sufficient infrastructure to implement e-voting methods as a trial in selected local government elections.
EFL (ENGLISH AS A FOREIGN LANGUAGE) STUDENTS’ PERCEPTION ABOUT THE EFFECTIVENESS OF LEARNING READING BY USING ELECTRONIC BOOKS

The aims of this research was to determine students' perceptions of the effectiveness of learning reading by using electronic books (E-books). The formulation of the problem in this research is focused on what is the students' perception about the effectiveness learning reading by using electronic books (E-books). This research used descriptive qualitative method. The data were collected by triangulation, namely observation, questionnaires, interviews, and documentation. The results of the data showed that students' perceptions about the effectiveness of learning reading by using electronic books (E-books) provide a good perception. Electronic books (E-books) are good learning media to be applied to students to help students learn to be more independent.
TRANSCRIBING TOURISM CULTURAL CONTENT VIDEO TO ENRICH STUDENTS’ READING MATERIALS

The learning process requires supportive elements, such as reading materials, to be effective. Providing appropriate reading materials involves adjusting the learning environment and considering the characteristics of the students. This enables teachers to motivate and guide students in constructing their language skills. Additionally, as a resident of Palembang, it is important to learn about cultural heritage to preserve the local culture. Songket, a traditional textile originating from Palembang, is one such cultural heritage. Utilising a booklet as a medium to convey information about Songket to students can enhance teaching and learning activities. The objective of this research was to develop reading materials for students by transcribing a Songket video. The researcher employed the Research and Methodology (R&amp;D) method, as modified by Sukmadinata (2015). Data were collected through documentation and interviews. In the limited trial phase, the results indicated that the booklet required revisions in terms of content and design. Experts provided feedback to address inaccuracies in the content and grammatical errors and suggested adding the writer's information and the institution logo to the booklet. In the wider trial phase, experts recommended including additional information about Songket in the booklet before accepting it for printing as reading material. After incorporating all the necessary changes based on the feedback received, the writer concluded that the final product was accepted as suitable reading material for students, providing concise information about Palembang's Songket tradition.
THE IMPACT OF ONLINE GAME ADDICTION ON LEARNING ENTHUSIASM TO PROMOTE THE STUDENTS’ MOTIVATION TO LEARN

The main purpose of this study is to examine the influence of online game addiction on the learning motivation of fourth-grade children. Specifically, the research focuses on investigating the impact of online game addiction on the enthusiasm for learning among fourth graders at SDN 1 Bubusan. The study involves fourth-grade students, class teachers, and parents of students who are addicted to online games at the mentioned school. A descriptive-qualitative research method is employed, and data collection techniques include observations, interviews, and questionnaires. Classroom sessions were observed to witness teachers delivering learning materials, and interviews were conducted with students, parents, and class teachers. Additionally, students completed questionnaires to gather their perspectives. Data analysis consisted of data reduction, data presentation, and drawing conclusions. The findings of this study reveal that online game addiction among children has a detrimental impact on their enthusiasm for learning. It leads to decreased motivation to study and a lack of attentiveness towards teachers' explanations of learning materials.
THE IMPLEMENTATION OF E-LEARNING IN TEACHING ENGLISH AT SMP NEGERI 1 OF BANYUASIN III

This study focused on the utilization of E-Learning in English language instruction at SMP Negeri 1 of Banyuasin III. The study aimed to achieve three objectives: 1) identify the E-Learning media employed by teachers in English teaching; 2) examine the implementation of E-Learning applications by teachers in English instruction; and 3) investigate the challenges encountered by both teachers and students in utilizing E-Learning media for English learning. The research methodology employed was qualitative-descriptive, which involved data collection through observation, interviews, and documentation. The findings of the study revealed the following: 1) Google Classroom and YouTube were utilised as learning platforms; 2) the implementation of E-Learning in English instruction involved three stages: planning, implementation (including opening, core activities, and closing), and evaluation; 3) the major challenges faced by teachers included a lack of technological resources and difficulties in assessing student comprehension in the E-Learning environment; and 4) students encountered challenges related to distractions from other applications and difficulties in social interaction within the E-Learning setting.
STUDENTS’ PERCEPTION TOWARDS THEIR SKILL IN READING NOVELS IN WATTPAD APPLICATION

The objective of this study was to investigate students' perceptions of their reading skills in novels on the Wattpad application. The research method employed a mixed-method approach, utilising questionnaires, interviews, and documentation to collect data. The population of the study consisted of 11th-grade students at PGRI Senior High School 2 in Palembang. The sample for this study was XI MIPA 1, comprising 36 students from PGRI Senior High School 2 in Palembang. The majority of students (64.7%) fell into the "Good" category based on their responses to the questionnaires. The results of the study revealed that 9 students were classified as "Very Good," 19 students as "Good," 8 students as "Bad," and no students fell into the "Very Bad" category. Based on the students' scores, it can be concluded that the use of the Wattpad application was effective in improving student learning outcomes. This indicates that the Wattpad application was highly beneficial for students, as it provided ample opportunities for them to learn English.
A Breast Cancer Image Classification Algorithm with 2c Multiclass Support Vector Machine

Breast cancer is the most frequent type of cancer in women; however, early identification has reduced the mortality rate associated with the condition. Studies have demonstrated that the earlier this sickness is detected by mammography, the lower the death rate. Breast mammography is a critical technique in the early identification of breast cancer since it can detect abnormalities in the breast months or years before a patient is aware of the presence of such abnormalities. Mammography is a type of breast scanning used in medical imaging that involves using x-rays to image the breasts. It is a method that produces high-resolution digital pictures of the breasts known as mammography. Immediately following the capture of digital images and transmission of those images to a piece of high-tech digital mammography equipment, our radiologists evaluate the photos to establish the specific position and degree of the sickness in the breast. When compared to the many classifiers typically used in the literature, the suggested Multiclass Support Vector Machine (MSVM) approach produces promising results, according to the authors. This method may pave the way for developing more advanced statistical characteristics based on most cancer prognostic models shortly. It is demonstrated in this paper that the suggested 2C algorithm with MSVM outperforms a decision tree model in terms of accuracy, which follows prior findings. According to our findings, new screening mammography technologies can increase the accuracy and accessibility of screening mammography around the world.
Serial Number Recognition of Ceramic Membrane Based on End-to-end Deep Learning

In order to study the identification of abnormal financial commodities in e-business, this article proposes an algorithm for identifying financial risks in ebusiness commodity transactions based on DL and CAD models.Unsupervised learning is trained by using the model gradient descent method of random automatic learning.At the same time, the algorithm uses automated distributed tables for data distribution, so as to identify the abnormal behavior in e-business transactions.The simulation results show that the accuracy of this algorithm can reach more than 90%, and the highest can reach about 95%.Its accuracy is 9.14% higher than that of traditional NN (Neural network) algorithm and 5.17% higher than that of BPNN (Back Propagation Neural Network) algorithm.Using the model constructed in this article to classify and identify abnormal behaviors in ebusiness transactions has good results, which can realize rapid and accurate identification requirements.It provides an effective and reliable method for identifying abnormal financial commodities of e-business.
Application of Learning Media and Technology in Schools to Increase Student Interest in Learning

Long before the development of technology, in the world of education the learning media used has not developed rapidly. Educators are required to increase student interest in learning by using modern technology media. Learning media is a technology that carries messages that can be used for learning purposes and is a communication to convey subject matter. Learning technology is utilization, management to facilitate the learning process. The purpose of this study is to determine the application of learning media and technology that can increase student interest in learning, especially in schools. This research uses Quantitative research by conducting online surveys and in-depth interviews with school teachers. The results of this study explain that there are several applications that are used as media for learning, one of which is YouTube. The conclusion of this study explains that there are many technologies or applications that can be utilized to increase student interest in learning. The limitation of this research is that researchers only collect information related to applications that can be utilized to increase student interest in learning, researchers hope that future researchers can develop learning media applications as a tool to help teachers and students in the learning and teaching process
Instagram Fake Profile Detection

All fake users' main intention is to send friend requests to normal users to hack their machine or to steal their data.By analyzing these features of all accounts, the classifier will mark whether the user profile is fake or genuine.This model uses MLP classifier and can process a large dataset of accounts at once.The MLP classifier will be trained with all previous users fake and genuine account data and then when we give new data then the system analyses the data and displays whether the account is fake or not.We have also listed the classes and libraries involved.Also, the accuracy of this classifier is very high compared to other machine learning algorithms.The technologies used in this project are HTML, CSS, Python and Flask.
Experience Future Career: The Paradigm of Applied Learning Curriculum in Hong Kong Secondary School

Applied learning implies an educational philosophy and learning method in which students master skills, practice theories, and operate models through usage. In the context of the new academic structure in Hong Kong, applied learning courses are elective courses for secondary schools committed to reshaping vocational-oriented education. After 20 years of development, applied learning curriculums in Hong Kong senior secondary schools have a complete operational framework, which reflects the essence of the diversified integration and multi-pathway. This paper aims to draw a broad picture of vocational education in secondary schools through applied learning. Applied learning paradigm in Hong Kong achieves parallel connectivity between vocational education and general academic education and can be regarded as an effective model for promoting the coordinated development of vocational education and general education in secondary school. Provide a reference for the trial promotion of vocational-oriented education in mainland China's general high schools. The coexistence of mixed vocational education in comprehensive high schools is a significant feature of the applied learning curriculum, which is conducive to improving the current situation of separation between general high schools and secondary vocational schools in mainland China. Applied learning curriculums could enrich the connotation of recent high school career education and promote the integration of vocational education and general education in the secondary education stage.
Teacher’s Perception on Teaching Strategy and Its Effect Toward Students: Discovery Learning

This journal aims to determine teachers' perceptions of discovery learning teaching strategies and how the effects of these strategies on students, because their perceptions have a very large influence on the successful implementation of learning. Strategy in teaching is needed in the teaching process. With learning strategies, teachers will find it easier to determine information and manage step by step learning that is carried out effectively. Learning strategies are also used to make learning activities more interesting, fun, and able to arouse the curiosity of students. The subjects of this study were 8 teachers aged 30-40 years. Data was collected by means of on-site interviews with English subject teachers. The types of research carried out are qualitative data through observation and interview. The results show that the discovery learning teaching strategy as an Indonesian English teaching model recommended in the 2013 curriculum is very useful for students and learning runs more effectively, because students are encouraged to be able to explore their own learning materials and the effect felt by students is that they feel more challenged and motivated. Have the satisfaction of having succeeded in discovering and exploring their own learning.
Himachal Pradesh Paper Leak Incidents: The Far-reaching Impact on Aspirations of the State

The article aims to shed light on the disturbing prevalence of paper leak cases, exploring the causes, consequences, and potential solutions to tackle this pressing issue. By examining notable instances and their impact on various stakeholders, with hope to unveil the magnitude of the problem and ignite a conversation on the urgent need for reform. Moreover, this article seeks to highlight the profound consequences of paper leaks, both immediate and long-term. From compromised student performance to eroded institutional credibility, the ramifications ripple through the educational landscape, hindering social progress and perpetuating a culture of dishonesty. In confronting the shadowy realm of paper leaks, it is imperative to recognize the significance of protecting the integrity of the education system and governance. Only through collective action and unwavering commitment can we ensure a level playing field for every aspiring student, reaffirming the principles of equity, merit, and academic excellence that form the bedrock of a progressive nation.
Twitter Sentiment Analysis Using Textual Information and Diffusion Patterns

Billions of individuals daily post their ideas on social media platforms like twitter. As a brief and straightforward means to express human feelings, the tweet. Therefore, we concentrated on sentiment analysis of Twitter data in this article. The majority of the sentiment analysis tools for Twitter now in use mostly focus on the textual content of tweets and make an effort to function well when dealing with brief and confusing tweets. According to recent studies, the polarities of Twitter tweets and the ways in which emotions are expressed on the platform are closely related. This research focuses on how to combine the textual content of Twitter tweets and sentiment propagation models in order to increase the effectiveness of sentiment analysis in Twitter data. The suggested approach explores the dispersion of feelings by examining a phenomena known as the inversion of feelings and identifies numerous intriguing aspects of the reversal of feelings in order to do this. In order to anticipate the polarities of the feelings conveyed in Twitter messages, we propose using random forest machine learning. We do this by considering the connections between the textual content of Twitter messages and the sentiment-dissemination patterns. This research is the first of its kind to apply sentiment dissemination models to enhance Twitter's sentiment analysis, as far as we are aware. Numerous tests on a real-world dataset demonstrate that, in contrast to cutting-edge text-based analytics methods.
LANGUAGE INTERFERENCE IN TEACHING ENGLISH AS FOREIGN LANGUAGE VIEWED FROM PSYCHOLINGUISTICS

Learning English as a foreign language for speakers of Indonesian as their mother tongue is sometimes difficult. They are used to speaking and understanding the meaning of Indonesian, then they have to learn a foreign language. This is one of the factors for the occurrence of language interference. In addition, language interference is also very closely related to Psycholinguistics (it studies language and its relationship to human psychology). In this regard, the author also tries to relate the phenomenon of language interference with her experience in teaching English which is considered as a foreign language. The results shows that the author found 8 types of language interference in his English class. From these findings, the writer also tries to find a solution to minimize the students' language interference.
Dual Axis Solar Tracker with Weather Sensors

Solar energy is one such non-conventional and sustainable form of energy that also has a high potential for conversion into electrical power.With the present solar energy harvesting technologies, we only have high production at specific periods, typically noon.This paper presents a dual axis solar tracker system that significantly boosts productivity.This project is made up of several LDR sensors and a motorised mechanism that rotates the panel in the direction of the sun.Dual-axis solar tracker can improve energy by tracking sun rays from several solar panels.The microcontroller-based control system detects sunlight and controls the motorised mechanism.This project may also be used to simulate raindrops, temperature, and humidity using sensors, and the results can be shown on a mobile phone.This technology operates continuously and without interruption, increasing the efficiency of the solar panels by up to 80%.
CLASSROOM LANGUAGE FUNCTIONS USED BY EFL TEACHER DURING DISTANCE LEARNING IN JUNIOR HIGH SCHOOL

The purpose of this study is to describe the classroom language functions used by the EFL teacher in junior high school during distance learning. This study is classified as qualitative descriptive research. This research was conducted in SMP N 2 Sawan with only one subject, a grade 7 English teacher. The findings of this study showed that the EFL teacher preferred to implement ’seeking information’ as the highest classroom language function delivered during distance learning, followed by ’explaining’ by 21.88%, ’persuade’ came in third place with 20.31%. In fourth place is ’ordering’, with 17.19 percent. Next are ’evaluating’ (1.95%), ’comparing’ (1.56%), ’analyzing’ (1.17%), ’proving/debating’ (0.78%), justifying (0.78%), ’inferring’ (0.39%), and ’synthesizing’ (0.39%). Meanwhile, the teacher did not use two functions during teaching. They were ’classifying’ (0%) and ’solving problems’ (0%).