Reviewerly/exHarmony huggingface dataset:
SOLVING PROBLEMS IN MOLECULAR PHYSICS THROUGH PROFESSIONAL TRAINING OF PHYSICS FOR CADETS

The article analyzes the specifics of solving problems from molecular physics in the professional orientation of physics in higher military education, as well as selects problematic issues of different levels of difficulty in the military-technical direction. In solving such problems, as a new innovative approach, methods of solving using the interrelationships of physics and specialty sciences are presented.
ONLINE LITERATURE COURSE MODEL: AN ALTERNATIVE TO FACE-TO-FACE TEACHING

In recent months, educators have been striving to design and introduce new remote learning formats in order to offer an alternative to in-person classroom teaching, adapt the content of their courses to online teaching and create compelling and engaging material that can be efficiently used in the virtual learning environment (VLE). Most teachers in Serbia and the Republic of Srpska, countries with a challenging social and economic situation where the education system offers limited access to high-quality alternative teaching and learning models, have never experienced or experimented with more advanced forms of remote teaching. Literary studies pose a particular challenge in this regard, as it is difficult to find reliable models of online literary courses in these countries, where formal information or recommendations on teaching literary courses online are unlikely to be found. Therefore, this paper aims to provide literature teachers at the tertiary education level with a viable alternative to face-to-face literature courses by proposing an online English literature course model that would primarily serve as a basic online counterpart to traditional English literature courses and as such, can be offered as a solid reference point for planning, designing, managing, and conducting more advanced online literature classes. The authors’ purpose is to encourage their peers to exchange ideas and to be ready to creatively adapt the ideas offered within this online literature course model to suit their needs. The online literature course model that focuses on conducting lectures in the VLE has been developed using the Victorian Literature syllabus (Department of English, Sinergija University) and the Nineteenth-Century English Literature syllabus (Department of English, Faculty of Law and Business Studies Dr. Lazar Vrkatić). This paper offers various online activities and tools that can be used to efficiently conduct literature courses with detailed procedures and guidelines to create an effective learning environment.
Human Activity Recognition System Using Smartphone Data Sensors with Python and Machine Learning

Abstract: This project depicts recognition Human activity Using data generated from user Smartphones Machine Learning repository to recognize six human activities. These activities are standing, sitting, laying, walking, upstair and walking, ddownstairs. Data is collected from embedded accelerometer, gyroscope and other sensor .Data is randomly divided into 7:3 ratios to From training and testing data set respectively. Activity Classification done using Machine Learning models Namely Random Forest. support vector machine, Neural Network and k-Nearest Neighbor. We have compared accuracy and performance of these model using confusion matrix and random simulation. Human Activity recognition(HAR) is classifying activity of person using responsive sensor that are affected from human movement. Both users and capabilities of smartphone With them. These facts makes HAR more important and Popular. This work focuses on recognition of Human activity using smartphone sensor different machine learning clssification approaches. Data retrieved from smartphones accelerometer and gyroscope sensor are classified On order to recognize human activity. Results of the approaches used compared in terms of efficiency and precision. Keywords: CNN, Accelerometer and gyroscope LSTM Model, Machine Learning, SVM etc
An Investigation on Reading Anxiety Across Gender

Reading helps language users gain knowledge and empowers the users with the power of reasoning.The use of reading skills makes the language users depend on their communication skills.Reading comprehension is challenging as it requires the coordination of multiple linguistic and cognitive processes, word reading ability, working memory, inference generation, comprehension monitoring, vocabulary, and prior knowledge.Past studies revealed that there is gender difference in the use of language learning strategies.More studies were suggested to investigate gender differences when it comes to language learning difficulties; especially reading comprehension.This study explores the reading comprehension strategies among male and female language learners; specifically, the perception of top-down and bottom-up reading anxiety across gender as well as the perception of classroom reading comprehension across gender.This study uses quantitative design with a survey as the instrument.30 respondents from social sciences faculty in a public university were randomly chosen for this study.For both top-down and bottom-up anxiety, this study has shown that generally, female respondents reported higher anxiety than male respondents.When it comes to classroom teaching, male respondents reported higher anxiety.Findings in this study has interesting pedagogical implications for the teaching and learning of reading comprehension.
Pengaruh Computer Anxiety, Computer Attitude dan Computer Self-Efficacy Terhadap Literasi Digital Pelaku UMKM Industri Pangan

The study was conducted to determine how much computer anxiety, computer attitude, and computer self-access acy affect the digital literacy of the industrial food umkm of boalemo district. The study USES a quantitative method. The methods of data collection used in the study are carried out through field observation, disseminating questionnaires, interviews, documentation and literature studies. As for the population in this study are all the perpetrators of the food industry in the boalemo district with sample withdrawal using sampling cluster methods in tilamuta district. The data analysis technique used in the study is a linear, linear regression analysis technique with the help of version 24 SPSS software. The study suggests that (1) computer anxiety, computer attitude and computer self acy both simultaneously affect the digital literacy of umkm perpetrators, (2) computer anxiety can also have a partial negative and significant impact on the digital literacy of umkm perpetrators, And (4) computer self literacy has a partial positive and significant impact on the digital literacy of umkm perpetrators.
Deep Learning in Biology: 3D Representation of Online and Reality

Deep learning is required to examine biological material, particularly abstract content, either in the laboratory alone or with internet literature. This study aims to compare the effectiveness of learning through practicum versus learning through a combination of practicum (real-world data) and online literature review in terms of the ability to represent the three-dimensional (3D) model of plant tissue structure in a plant anatomy course. This study employed a quantitative approach with a quasi-experimental design in the posttest alone control group. This research used Purposive sampling to choose the research sample, which consisted of two classes of students enrolled in a plant anatomy course. ANOVA was used to analyze the data, with a significance level of 0.05. The results indicated a significant difference in learning when combined practicum was with online literature study visuospatial when practicum was used alone with a more excellent 3D model representation value in the class. Classes that combine an applied practicum with an online literature review have a grade point average of 73.61.
Recognition of Cheating Behaviors Based on Finetuning of Model Parameters

There are many problems with the current recognition methods of test cheating behaviors, namely, low accuracy, poor efficiency, and imbalance between positive and negative samples. To solve the problems, this paper proposes a classification and recognition method for test cheating behaviors through the transfer learning of pretrained models. Firstly, cheating samples, which mainly cover three cheating behaviors (peeking, passing notes, and checking cellphone) were collected from surveillance videos of exam rooms. The samples were enhanced through size transform and image synthesis. Next, multiple strategies were adopted to freeze the feature weights of the convolutional layers in the Darknet, before retraining the cheating classifier. In this way, a classification and recognition model was obtained for cheating behaviors. The model was tested on a self-designed dataset of test cheating behaviors. The results show that our method recognized 95.57% of cheating behaviors accurately, which is much better than the accuracy of the other methods. The real-time performance and accuracy of our method meet the application requirements.
Exploring brand perception in COVID vaccine tweets using TOPSA-NMF model

COVID-19 vaccines are primary biomedical preventive measures to combat the pandemic. Social media can have either a positive or negative impact on vaccine uptake, depending on their opinions about vaccines. An algorithm is proposed that can use a linear dimension reduction technique such as non-negative matrix factorization (NMF) to identify topics while using the sentiment lexicon to classify the tweet topics as positive, negative, and neutral. This study aims to determine public attitudes towards each topic of tweets about COVID-19 vaccines.
Pengaruh Keberadaan Warung Internet di Lingkungan SMA Negeri 1 Tanah Abang Kabupaten Penukal Abab Lematang Ilir (PALI)

Development of Education Quality Improvement by Implementing Internet Cafes in Rural Areas makes it easier for local residents, including students at SMA Negeri 1 Tanah Abang, Penukal Abab Lematang Ilir (PALI) to communicate and find information. This internet cafe or internet cafe is accompanied by an internet network so that users can access websites, blogs, micro blogging sites, e-mail, Yahoo Messenger, Gtalk, Zoom and so on. The development of this internet cafe uses data collection methods by taking data from high school students Negeri 1 Tanah Abang, Penukal Abab Lematang Ilir (PALI) Regency, totaling 60 people. This research itself uses quantitative methods. The purpose of this research is to determine the quality of student learning in the presence of an internet cafe. Based on a questionnaire that was distributed to 60 students, the existence of an internet cafe and the impact of the internet cafe on SMA Negeri 1 Tanah Abang, Penukal Abab Lematang Ilir (PALI) was highly appreciated by most students who thought that the existence of an internet cafe had a good effect on their learning activities. In addition to studying, they can also relieve fatigue from studying all day with entertainment in the internet cafe.
KNOWLEDGE EXTRACTION FROM SCIENTIFIC ARTICLES: A PROPOSAL FOR INITIAL RESEARCH METHODOLOGY ON TEXT MINING

The need to extract textual information encourages the development of automated tools for document reading, pattern recognition and knowledge extraction.The large amount of scientific content available on the internet makes it difficult to search for the most relevant and up-to-date information.In this work, a research methodology is performed to support the process of information retrieval in a scientific environment with the initial theme of Text Mining.Steps were defined for searching, visualizing and filtering data, through computational tools, with the objective of finding relevant scientific material with assertiveness.The method resulted in a list of 49 published articles with an average impact factor of 2.193, material that was compiled and used for initial mapping of the topic.It is concluded that the initial research methodology proposal provides results with a reduced time, with relevance to the material and that the use of general-purpose computational tools, even with a lot of manual intervention, helps to define the initial state of a scientific research.Text mining can make the extraction of knowledge from scientific research already produced more productive, promoting the identification of the state of the art and research gaps.
Post-education, what after? Part 2

The second part considers the basic principles of identity formation through education, developing a system of ethical criteria that allow normal existence in the postmodern era. Emphasis is placed on building the right strategy that would orient education to prepare new generations to work in a full-cycle production systems.
English Major Students’ Attitudes Towards The Use of Zoom Meeting for Online Learning in Learning English Speaking Skill

Many students may find it difficult to build good English speaking abilities due to the language’s complexity. The differences between English and the native tongue cause discomfort when speaking the new language in front of others. Therefore, Zoom Meeting application can be used by teachers to teach English, especially in teaching English speaking classroom. A case study research was conducted to explore English major students’ attitudes in using Zoom Meeting for online learning in learning English speaking skill. The data collection were collected by creating a questionnaire that consisted of 15 statements. The questionnaire was distributed via Google Form. The participants of this study were students of English Education Department from a state university in Karawang which is selected randomly about 9 students from second semester students. The result revealed that the use of Zoom Meeting applications make students understand some speaking class learning materials easily. However, in the other case, most of the them were bored with the implementation of online classes and lost of motivation to study during the COVID-19 pandemic. In conclusion, the majority of English major students’ had both positive and negative attitude toward the use of Zoom Meeting for online learning in teaching English speaking skills.
Implementasi Pemanfaatan Dinding Edukasi dalam Peningkatkan Literasi Numerasi Sebagai Perwujudan Karakter Kemadirian Siswa

This study aims to determine the increase in students' teaching and learning achievement in learning mathematics after the use of educational walls outside the school which was specially prepared for learning mathematics was activated. The paper is best practice report. Data obtained through questionnaires and interview guidelines. Data on the aspects of success were obtained from the responses of 30 students and 3 teachers in grades 4,5, and 6. The increase in student creativity was measured from the data on the success of student learning outcomes before and after the effort to use the outer walls of the school specifically about flat shapes and building spaces. The results, t was concluded that the the use of the outer wall of the school could increase the achievement of learning mathematics in flat-building materials and the habituation of numeracy literacy for both teachers and students at SD Negeri 7 Rejang Lebong. Educational walls that are created along the way students walk also make it easier for students to learn. Indirectly during breaks and sitting in the school environment, students are used to reading educational walls.
Study of the additives for polymeric materials by cheminformatics methods

Abstract This article analyzes the structures of some antioxidants, UV stabilizers, and inhibitors utilized to improve the polymeric materials’ functionalities using Cheminformatics tools implemented in the R software. Based on their properties, the dendrograms are drawn, and the molecules are classified in clusters, utilizing hierarchical clustering and the k-means algorithm.
The Application of Intelligent Speech Analysis Technology in the Spoken English Language Learning Model

In order to improve the effect of spoken English processing, it is necessary to improve the spoken English processing technology from the perspective of the characteristics of spoken English, combined with intelligent algorithms. This paper combines the intelligent speech analysis technology to improve the spoken English recognition technology and combines the actual and needs of English learning to improve the system algorithm. Moreover, this paper combines the intelligent speech analysis to construct the intelligent spoken English learning model structure and combines the statistical method and the intelligent evaluation method to analyze the model effect. After obtaining the system function structure, this paper designs experiments to verify the effect of the model proposed in this paper. From the experimental analysis results, it can be seen that the intelligent English speech analysis model proposed in this paper can play an important role in the learning of spoken English.
Implementation of Augmented Reality as an Information Media for the Collection of the Popa-Eyato Museum

Museums are facilities that display historical objects and provide information to the public and visitors. However, the presentation of information in the museum to the visitors is far from proper due to the lack of details. The guides provided in the museum are not quite engaging. More than that, the information provided is only in the form of a sheet of paper stuck in the collection. This present study aims to develop information media using augmented reality technology. The method used in this research was the Multimedia Development Life Cycle (MDLC), which had six stages, viz. concept, design, material collecting, manufacture, testing, and distribution. This research develops an application that works as a medium of information related to museum collections using augmented reality, which is more interactive and visitors can use to obtain information from the collection. In addition, this application can visualize 3D and in real-time ethnographic objects in the museum.
Flexing in the lens of Christian education: Children's failure to stem the negative influence of the era of disruption or neglect of parents instilling early childhood character

Flexing in the Lens of Christian Education: Children's Failure to Stem the Negative Influence of the Era of Disruption or Neglect of Parents Instilling Early Childhood Character?
Network Analysis using Visualization and Singular Value Decomposition

The internal response structure for two Parallel Distributed Processing (PDP) networks, used to model a concept attainment task, were compared. These networks’ hidden cellular responses were examined using graphical techniques and singular value decomposition. This examination was carried out on both the dynamic and final state of the network produced after network training. One version of the network contained extra output units that constrained the network’s learning space and help the network to learn faster and achieve better network generalization (Gallmo & Carlstrom, 1995). It was concluded from the internal analysis of the networks’ response structure that the constrained network learned a set of rules which produced greater discrimination among exemplars without any loss to correct categorization.
The Strangulation and Resuscitation of Representative Democracy in the United States

This paper posits that the global COVID-19 pandemic shock propelled the rational voters to the ballot box in 2020 presidential election to repudiate the 45th President of the United States (POTUS) for mishandling the pandemic and for propagating baseless conspiracy theories and disinformation, thus the resuscitation of representative democracy in the United States. We utilize a composite linear equation to derive the democracy strangulation coefficients and the democracy resuscitation coefficients to highlight the magnitude of the strangulation and the resuscitation. In addition, we derive and compute the democracy resuscitation index from which one can conclude that less than one percent of the net 7,052,770 winning votes barely resuscitated representative democracy in 2020. The strangulation of representative democracy is still ongoing because many aspiring candidates in the Republican Party, running for political offices at different levels, have strategically adopted the democracy strangulation playbook that the 45th President embedded in the Republican Party in order to achieve ochlocratic autocracy if they win and control the three coequal branches of government in 2025.
Suggestion Generation for Erroneous Words in Tamil Documents Using N-gram Technique

A spell checker is a tool that finds and corrects erroneous words and grammatical mistakes in a text document. Spelling error detection and correction techniques are widely used by text editing systems, search engines, text to speech and speech to text conversion systems, machine translation systems and optical character recognition systems. The spell checkers for European languages and some Indic languages are well developed. However, perhaps, owing to Tamil being a morphologically rich and agglutinative language this has been a challenging task. Erroneous words and grammatical mistakes can occur in sentences due to various reasons. Erroneous words can be classified into two categories, namely non-word errors and real-word errors. This work aims to correct non-word errors in Tamil documents by suggesting alternatives. The proposed approach uses letter-level and word-level n-gram, stemming and hash table techniques. Test results show that the suggestions generated by the system are with 95% accuracy.
Pengaruh Pembelajaran Daring terhadap Learning Loss dan Implikasinya terhadap Learning Outcome

The purpose of this study was to collect data and analyze the effect of online learning on learning loss and its consequences for learning outcomes. This study employs an explanatory survey technique with saturated sampling. This study surveyed 97 students from the Department of Economics Education at FKIP Siliwangi University. To obtain information about the variabels associated with online learning, learning loss, and learning outcomes, descriptive analysis using the SPSS 24 application was used, whereas path analysis using the AMOS application was used to determine the direct and indirect effects of online learning on learning loss and learning outcomes. The results indicated that online learning at the Department of Economics Education FKIP Siliwangi University had a strong categorization tendency, while the learning loss and learning outcome variabels had a moderate categorization tendency. Online learning has a 65.9 percent effect on learning loss and a 67.7 percent effect on learning outcomes.
"I can't write": problems, factors, and recommendations

Writing is a significant skill whose significance increases when it comes to writing in the English language which is used for global mediation of knowledge. This study explored the problems encountered by students who have difficulty in writing, the factors which could be reasons for these difficulties, and the possible solutions to overcome these. This made use of qualitative research design and employed phenomenological case study framework. After thematic analyses, it was found that the students encountered problems in writing specifically in syntax, grammar, and vocabulary. The students believed that lack of reading and writing practice, lack of ideas, and lack of self-confidence were the factors affecting their writing skills. To address the problems that they encountered in writing, the students recommended increased reading, writing practice, and teacher assistance.