Reviewerly/exHarmony huggingface dataset:
Cultural Assimilation Creating Third Culture in Sumnima

Sumnima, a psychological love story between Aryan boy and Kirati girl raises some cultural and philosophical issues of cultural reality of Nepal. Cultural values in Nepal are conflicting but there is a unique understanding and co-ordination between the differing cultural and religious philosophies. Sumnima stands for Kirat's cultural philosophy and Somadattafor Aryan philosophy. Sumnima thinks body to be more important than soul. She believes on materialism, living life and real world. She wants to live with nature discarding all sorts of artificialities and formalities. She does not believe in the life after death. Sumnima is a symbol of materialism whereas Somadatta is of spiritualism. A blind follower of Aryan dogmatic principles, he is guided by Aryan religious, spiritual and cultural philosophy. He believes on eternity and immortality of soul. In course of time, he realizes the importance of Sumnima's culture, her philosophy of life and world. He is serious about his spiritual goals but succumbs to the charms of materialistic world. His son, an Aryan boy, marries Sumnima's daughter, a Kirati girl. Marriage between a boy and a girl of two opposite cultures signifies cultural assimilation and harmonization along with the unity in diversity. It connotes cultural liberalization and reformation in the ancient cultures of Nepal. Abstract ideas of Aryan culture and factual ideas of Kirat culture are integrated to create a new culture that brings the philosophy of materialism and spiritualism, or body and soul together. Cultural liberalism defeats the cultural and religious orthodoxy.
The development of learning media based powtoon in interpersonal text materials at seventh grade

This research aimed to investigate the students’ need in interpersonal text materials and to develop learning media based PowToon in interpersonal text materials at seventh grade in MTs Cendekia Muhammadiyah Kotamobagu in Academic Year of 2020/2021. This research used research and development (R&amp;D) design by Borg and Gall. The data were collected through observation, interview, questionnaire, document analysis, and expert judgement validation. The learning media based PowToon in interpersonal text materials were validated by the material expert and media expert and were also done field testing to the twenty six students. The data were analysed descriptively qualitative. The result of this research indicated that More than half of the total students were powerfully agree, genuinely need, and surely support the development of learning media based powtoon in interpersonal text materials. The learning media based powtoon consist of opening, warming up, learning material, learning activities, and closing. The result of material expert validation was 95% and the result of media expert validation was 97% which were categorized good/valid/eligible learning media. The students showed a positive response toward the use of learning media in interpersonal text materials in the classroom. It is signified that the learning media based PowToon can be applied in teaching and learning process.
Politeness in Language in the Comments Column on the TVOne News Youtube Channel “Lesti Billar's Drama Case of Domestic Violence”

One form of information and communication media that is very popular at this time is YouTube. This media can be used as a place to share videos with one another, be it videos that provide educational content, tutorials, up-to-date information, or documentary videos of one's personal life. Therefore, the forms of speech contained in YouTube are very diverse. With the various forms of speech contained on YouTube, there are also forms of politeness in speaking. Language politeness according to Geoffrey Leech, namely Geoffrey Leech divides the principles of politeness into six maxims, namely; tact maxim, generosity maxim, appreciation maxim ( approbation maxim), modesty maxim, and sympathy maxim. The author conducted this analysis with the aim of describing language politeness in the comments contained on the Tvonenews YouTube channel entitled Drama Lesti Billar's Domestic Violence Case. The data source in this study is the Tvonenews YouTube channel titled Lesti Billar's Domestic Violence Case Drama which has a video duration of 5 minutes 48 seconds, and was published on October 25 2022. Data analysis was carried out using the politeness maxim. In this analysis it was found that there were five of the six maxims of politeness in Leech's language on the Tvonenews YouTube channel entitled Drama of the Lesti Billar Domestic Violence Case from the 25 data there were 20 data included in the 5 maxims, namely: 4 tact maxims, 2 generosity maxims (generosity maxim), 4 approbation maxims, 3 modesty maxims, and 7 sympathy maxims.
“Le professeur est très intelligent / La prof est très attirante”. Recognizing and Reducing Gender Bias in Neural Machine Translation

The encounter between Translation Studies and Gender Studies has proven extremely important for the investigation of the issues related to gender representation that are implicit in every natural language, and that processes of translation help to futher unveil. The rapid evolution of Neural Machine Translation over the last years, and the overwhelming presence of machine translation in the contemporary society, call for an investigation of how these issues of gender representation have evolved in the context of machine translation. After outlining the encounter between Translation Studies and Gender Studies, as well as the evolution of machine translation over the last decades, this article will focus on the definition of the issue of gender bias in Neural Machine Translation, on its origins and consequences, and on the attempts that have been made at eliminating or at least reducing gender bias in machine translation.
Psycholinguistic approach to the analysis of manipulative and indirect hate speech in media

The present study takes a psycholinguistic approach to the analysis of Russian media texts published between 1 December 2020 to 31 May 2021. I aimed to provide a scientific basis for the existence of manipulative and indirect hate speech (HS) using an interdisciplinary methodology comprising linguistic, psycholinguistic, and other analytical methods such as fact-checking and logical analysis. This facilitated the identification of techniques employed by the authors of the respective texts. In the article, I describe how I use the methodology to analyse media texts. I discovered that three basic types of HS were used to influence the audience’s consciousness: (1) direct HS; (2) indirect (hidden) HS; and (3) manipulative HS. The first and second types were the most common. This may be explained by the fact that direct HS is condemned by international organisations and its use may be a reason for lawsuits against media outlets and their further penalisation. Texts with evidence of the second and third types of HS aimed to create a negative attitude toward a particular nationality, race, citizen, and so on. I consider such behaviour to be an early manifestation of widespread discrimination and other forms of intolerance, including possible violence and genocide. The present study was carried out in collaboration with a Crimean human rights group. The author was invited to participate as an expert in the field of psycholinguistic textual analysis. The research was prepared and completed at the beginning of February 2022, on the eve of the invasion of Ukraine. We have gathered evidence of indirect and manipulative HS that dehumanised, demonised, and marginalised Ukrainian citizens. This has led to violence against the civilian population and high numbers of casualties. The aforementioned methodology will continue to be used in the analysis of current media content.
Exploration of Knowledge Community in Ontology Domain of Information Consulting Supervision

In the national e-government project, large informatization project, and other informatization projects invested by the government, informatization consultation and supervision is a necessary supervision method.With the increasing construction of information engineering projects, information consulting supervision and management methods are constantly improved, and management knowledge is constantly accumulated.For enterprises engaged in the information consulting and supervision business, knowledge is the core competitiveness and value of the industry, but the information consulting and supervision industry is mainly intellectual labor, knowledge management, knowledge innovation and knowledge sharing have also become a big problem.Ontology domain method is applied to construct knowledge model, and combined with the concept and method of knowledge community, Internet information technology and network communication technology are used to create information consulting supervision ontology domain knowledge community, so as to provide a platform for community members to learn, communicate and innovate.This paper introduces the concepts and basic methods of knowledge base and knowledge community in ontology domain, proposes the framework of knowledge community in ontology domain of information consulting supervision, and analyzes the supporting elements such as organization, management and technology.
Artificial intelligence-enabled rapid and symptom-based medication recommendation system (COV-MED) for the COVID-19 patients

In a general COVID-19 population in Cox’s Bazar, Bangladesh, we developed a medication recommendation system based on clinical information from the electronic medical record (EMR). Our goal was also to enable deep learning (DL) strategies to quickly assist physicians and COVID-19 patients by recommending necessary medications. The general demographic data, clinical symptoms, basic clinical tests, and drug information of 8953 patients were used to create a dataset. The learning model in this COVID-MED model was created using Keras (an open-source artificial neural network library) to solve regression problems. In this study, a sequential model was adopted. In order to improve the prediction capability and achieve global minima quickly and smoothly, the COVID-MED model incorporates an adaptive optimizer dubbed Adam. The model calculated a mean absolute error of 0.0037, a mean squared error of 0.000035, and a root mean squared error of 0.0059. The model predicts the output medications, such as injections or other oral medications, with around 99% accuracy. These findings show that medication can be predicted using information from the EMR. Similar models allow for patient-specific decision support to help prevent medication errors in diseases other than COVID-19.
An Outcome-based Instructional Design Within the Framework of Taxonomy

Instruction is the behaviour with purposes and reasons.The objectives in instruction are the expectations of learners' learning results, which expresses the purposes.When the objectives, teaching activities and assessment in instruction are designed based on learning outcomes, educators are able to prove by this assessment that what they educate is exactly what learners should learn, which expresses the reasons.Being aimed at the contradiction between more teaching contents and less class hours in specialized courses at present, in this article are researched the method of designing teaching activities on the premise of ensuring instruction quality, and the method of assessing learners' learning outcomes which is able to reflect instruction effectiveness.Within the framework of objectives taxonomy constructed by the two attributes of knowledge and cognitive processes, taking the course of Power System Analysis in polytechnic universities as an example, in this article an instructional design which reflects the purposes and reasons of instruction is presented in the form of instruction cases, and the rationality of the design of the objectives, teaching activities and assessment is analyzed, researched and improved, and also is the consistency between the three of them.葛群：分类学框架下成果导向的教学设计 http://www.educationrd.comThis instructional design has been applied to the undergraduate instruction in the specialized subject of electrical engineering and automation at Liaoning Technical University, from which hundreds of students in multiple grades are benefited.These instructing practices illustrate that with its application the engagement and activity of students in class activities are all improved significantly, such negative situations as the scope delineation by pestering educators and the cramming of students for final examinations are reduced.And also, the improvement of instruction quality is accordingly promoted to some extent.Consequently, the outcome-oriented instructive design within the framework of objectives taxonomy has been proved to be scientific and innovative, and it can be highly spread and applied to other educational practices.
Weightless Neural Networks Face Recognition Learning Process for Binary Facial Pattern

The facial recognition process is normally used to verify and identify individuals, especially during the process of analyzing facial biometrics. The face detection algorithm automatically determines the presence or absence of a face. It is, however, theoretically difficult to analyze the face of a system with limited resources due to the complex pattern of a face. This implies an embedded platform scheme which is a combination of several learning methods supporting each other is required. Therefore, this research proposed the combination of the Haar Cascade method for the face detection process and the WNNs method for the learning process. The WNNs face recognition Algorithm (WNNs-FRA) uses facial data at the binary level and for binary recognition. Moreover, the sample face data in the binary were compared with the primary face data obtained from a particular camera or image. The parameters tested in this research include detection distance, detection coordinates, detection degree, memory requirement analysis, and the learning process. It is also important to note that the RAM node has 300 addresses divided into three face positions while the RAM discriminator has three addresses with codes (00), (10), and (10). Meanwhile, the largest amount of facial ROI data was found to be 900 pixels while the lowest is 400 pixels. The total RAM requirements were in the range of 32 , 768 bytes and 128 bytes and the execution time for each face position was predicted to be 33.3% which is an optimization because it is 66.67% faster than the entire learning process
Object Tracking in Augmented Reality: Enhancement Using Convolutional Neural Networks

Augmented reality (AR) has been used in maintenance, simulation, and remote assistance, among other applications. In AR systems, one of the significant issues is the placement of objects in augmented physical environments. Given the importance of object placement in AR systems, we proposed deep learning-based object placement, covering both object detection and object segmentation, to address relevant issues. Deep learning can help users complete tasks by providing the right information effectively, with the method taking into account dynamically changing environments and users’ situations in real time. The problem is that it is rarely used in AR, thereby prompting the combination of deep learning-based object detection and instance segmentation with wearable AR technology to improve the performance of complex tasks. This challenge was addressed in this work through the use of convolutional neural networks in the detection and segmentation of objects in actual environments. We measured the performance of AR technology on the basis of detection accuracy under environmental conditions of different intensities. Experimental results showed satisfactory segmentation and accurate detection
Restoration of Blurred and Noisy Images Using Inverse Filtering and Adaptive Threshold Method

A restoration scheme for images that are corrupted with both blur and impulsive noise is proposed in this paper to reconstruct an image with minimum degradation. The restoration scheme consists of two stages in sequence where the first stage is applied to the blurred image and the second stage is applied to de-blurred image that has been subject to noise through electronic transmission. The first stage uses frequency domain filtering while the second utilizes spatial filtering to reduce the indicated blur and noise, respectively. In particular, truncated inverse filtering is used for reducing the blur and an adaptive algorithm with an estimated threshold is used for minimizing the noise. Simulation of the introduced method uses several performance measuring indices such as mean absolute error (MAE) and peak signal-to-noise ratio (PSNR). Results of these simulations show great performance of the proposed method in terms of reducing the blur and noise significantly while keeping details and sharpness of the image edges.
PERAN GURU DALAM MENINGKATKAN LITERASI SISWA MELALUI PROGRAM POJOK BACA DI MI MANSYAUL HUDA GUNUNGSARI BOJONEGORO

Literacy is one aspect as a basic ability that must be possessed by someone, not only in educational institutions but in broad community forums. A person's literacy ability will make it easier for someone to understand and receive information. The aims of this study are: 1) To analyze the role of teachers in utilizing the reading corner program at MI Mansyaul Huda Gunungsari Bojonegoro. 2) To analyse the supporting and inhibiting factors of the reading corner program at MI Mansyaul Huda Gunungsari Bojonegoro. This research approach uses descriptive qualitative. Data collection techniques in this study used interviews and documentation. Meanwhile, the data analysis used the Miles and Hubberman method. The results of this study indicate that through the Reading Corner Program implemented by MI Mansyaul Huda Gunungsari Bojonegoro, there are several identified teacher roles in improving students' literacy skills, namely the teacher being a facilitator and evaluator, the teacher being the person in charge of providing understanding, and the teacher encouraging students' literacy skills, through learning activities or the available Reading Corner Program. Supporting and inhibiting factors in this study, namely the first supporting factors, namely facilities, school culture, and community encouragement. Factors inhibiting student interest in learning and an environment that is not conducive. Supporting or inhibiting factors are important for teachers or educational institutions to identify, especially as a form of evaluation so that the learning carried out can run even better.
Quriosity Terhadap Kemampuan Literasi Sains Pada Ruang Lingkup Biologi UIN Syahada Padangsidimpuan

Curiosity is necessary to live in today's world, so as not to be left behind by information that is developing very rapidly. Curiosity about literacy is a necessity for every human being who is human-centered and collaborates with technology. One of the important literacy in this era is scientific literacy. This study aims to describe comprehensively about curiosity towards scientific literacy. The research population was all students of the biology education study program in semesters 3 and 5 of FTIK UIN SYAHADA Padangsidimpuan, totaling 42 people. Sampling in this study was carried out by means of random sampling with a total sample of 20 people. This type of research is qualitative. The data collection technique was carried out by distributing questionnaires online using the Google form application Data analysis techniques using qualitative analysis. The results of data analysis show that overall student curiosity (curiosity) is classified as 'good', this is indicated by the number of students who choose 'always and often' for positive statements and those who choose 'rarely and never' for negative statements are less This study shows that there is good curiosity about scientific literacy in the material scope of biology
ANALISIS KESALAHAN BERBAHASA INDONESIA DALAM KEGIATAN PRESENTASI MAHASISWA UIN SYAHADA PADANGSIDIMPUAN

Language errors are often found in the activity of presenting papers in learning. The method used in this research is descriptive qualitative. The data in the research are in the form of words. This study aims to describe errors in Indonesian in the form of spelling in the activity of presenting papers in learning. The technique used for data collection in this study was observing and noting. Data analysis by classifying and grouping. The results of this study were errors in the language of presenting papers in learning including language errors in the form of variations in Indonesian including: Indonesian mixed with English; Indonesian mixed with the South Tapanuli Batak language. Keywords: analysis, language errors, learning Indonesian
Pengaruh Penggunaan Aplikasi Video Pembelajaran Menggunakan Camtasia terhadap Hasil Belajar Siswa pada Materi Sistem Reproduksi di SMAN 1 Teluk Mengkudu

This study aims to determine the increase in learning outcomes by using computer-based learning videos on reproductive system material. The type of research that has been done is class action research. The subjects in this study were class XI IPA 1, which consisted of 41 people. The data collection tool used is multiple choice tests. The results showed that the average value of the learning outcomes of the first cycle was 59.02 with 58.5% classical completeness while the average value of the second cycle learning outcomes was 71.59 with 80.5% classical completeness. The results of observations on student activity showed an increase from cycle I with a percentage value of 52.38% including the less active category, while student activity in cycle II was 82.47 including the active category. From the data that has been obtained shows that computer-based learning using Camtasia can improve student learning outcomes on the subject matter of the human reproductive system
Satisfaction analysis of online non-face-to-face classes of dental hygiene students in the COVID-19

Objectives: As COVID-19 continued to spread in the local community due to influx, each university had to conduct online classes completely or partially.The purpose of this study was to investigate the satisfaction of learners with the lecture content in online classes, due to the change of the class environment during the pandemic.A survey for assessing satisfaction from online class in major subjects was conducted.Methods: Online questionnaires were conducted from September 1 to November 30, 2022, targeting 1st, 2nd, 3rd, and 4th year students in the Department of Dental Hygiene at college.Results: As a result of the study: 1. PPT+face, voice recording class-class method with class content was found to be a high 4.06±0.841points and learning satisfaction was found to be an average of 3.98±0.83(P<0.015); the other satisfaction: 2. PPT+voice recording class (LMS): 3.96±0.85,3. Non-face-to-face online class (ZOOM): 3.82±0.89,and 4. LMS system: 3.98±0.88.I think that satisfaction with online classes can be improved with the quality of the content during major online classes in addition to more active interactions taking place between students and professors.Conclusions: 1. Learning satisfaction: 1) ZOOM: 3.82±0.89,2) LMS (PPT-voice recording): 3.96± 0.85, and 3) LMS (PPT-face+voice recording): 4.06±0.84;2.