Reviewerly/exHarmony huggingface dataset:
A Study of Health Recommender Systems: Analyzing the Advancement of Sustainable Health Recommender Systems Using NLP Techniques

Over the years, the amount of healthcare data has immensely increased due to technological development. Although it has provided the user with ease to data access, large amounts of data can be challenging to the user due to information overload. In the case of the healthcare domain, any misinterpreted information may cause a severe situation. Recommender systems are proving to be beneficial due to their use in extracting the required information quickly. In this paper, we conducted an analysis of the existing health recommender systems using NLP techniques. We reviewed the existing solutions for health recommender systems, described and compared them based on their features and algorithms employed, and presented future research directions. Our findings indicate that the popular applications of the health recommender systems developed are in patient-doctor match, recommending drugs, cancer predictions, chronic disease diagnosis, and recommender systems for patients with heart problems. Further, given the knowledge of sustainable products, a recommender system can suggest products with these characteristics.
A Study on the Impact of GST on the Import of Goods and Services

GST is the indirect taxation which is levied on the goods and services. IGST is a taxation which is charged under the regime of GST for the supply of goods and services and it is computed on the basis of additional duty or excise duty and in addition the special additional duty is also calculated to derive the exact value. In this paper, an attempt was made to examine the effect of the GST on the import of goods and services.
PENGEMBANGAN MEDIA ULAR TANGGA PADA MATERI PENJUMLAHAN DAN PENGURANGAN KELAS I UPT SDN 13 GRESIK

&#x0D; This study aims to develop a snake and ladder game media to improve elementary school students' learning outcomes in addition and subtraction concepts. One of the problems of education is the lack of media facilities and infrastructure, so teachers are required to be creative in improving the quality of learning in the classroom, such as developing learning media in the classroom. One of the interesting learning media that can overcome student boredom in learning activities is game-based learning activities, such as the application of snakes and ladders game media. In student learning outcomes, it shows that 10% of students have scores above the KKM before applying the snake and ladder learning media, while after applying the snake ladder game learning media, 100% of students have scores above the KKM (Minimum Completeness Criteria), it shows that student learning outcomes have increased. 90%. The use of learning media in learning activities makes it easier for students to gain understanding and motivate students to learn.
MaterialSense: Estimating and utilizing material properties of contact objects in multi-touch interaction

In today’s digital art applications, users can play virtual musical instruments or paint on virtual canvas using multi-touch input. Existing touch input devices, however, do not consider that the result of artistic expression changes depending on the material properties of the tool that comes into contact with the art medium. This paper proposes a novel method called MaterialSense that estimates the material properties of objects in contact with a touch input surface. The technique uses a commercial touchpad with six load cells attached, and when up to two objects are in contact, solves the force equilibrium equation to estimate the stiffness and friction coefficient of each contacted object. By analyzing the time-series data of the measured 3-axis force and normal vector for each touchpoint, it can estimate the stiffness and kinetic friction coefficient of the contacted object. Estimated material properties enable novel and realistic artistic expressions in touch-based digital art applications, such as changes in the tone of virtual instruments or the effects of different painting brushes. We present two application scenarios using MaterialSense, along with an in-depth technical evaluation to verify the accuracy and precision of its estimates.
Is AI at human parity yet? A case study on speech recognition

Abstract Claims have been made that speech recognition has achieved human parity, yet this does not appear to be the case in the real‐world applications that rely on it, especially for non‐native speakers. This then begs the questions: What does it even mean for an AI system to reach human parity? How is progress towards that goal being measured? This article focuses on the current state of speech recognition and the recent developments in benchmarking and measuring performance of AI models built for speech processing. Through the shift away from single metric benchmarks and specialized models and towards evaluating collections of diverse challenging tasks and generalized models, the ultimate goal of true human parity in commercial speech processing applications is hopefully on the near horizon.
DEVELOPING STORIES AS MINDFUL LEARNING MATERIALS FOR INDONESIAN EFL LEARNERS

In the era where fictional works are popular with teenagers while there are still challenges in understanding English, the researchers conducted a study to develop stories with the title “Berteman itu Sulit”. One of the challenges is the lack of varied learning material in grammar learning. The researchers propose to develop an English material based on the students’ own life context, that is mental health, to make the post-pandemic learning process interesting. The short stories are used as English mindful material with 5 tenses included; simple present tense, present continuous tense, simple past tense, past continuous tense, and present perfect tense. In developing short stories, the researchers went through 4 steps; 1) story development; 2) validation; 3) publication; 4) trying out 10 EFL students from random schools. With a total of 13 parts, the stories are being published on Wattpad platform, the most popular fiction reading site in the post-pandemic era. There are three things to be underlined as the result; 1) the content for grammar material is adequate; 2) the learning material is validated as mindful and suitable for students to read; 3) the try-out questionnaire showed positive results of EFL learners’ perspective to the material.
Integration of Environmental Education into English Writing Lessons in A Malaysian Chinese Independent High School

Environmental education has a great importance in Malaysia as it helps students to be aware of the various environmental risks that exist.One of the main issues that people currently face is the deterioration of the environment on a global scale.Henceforth, this study aims to explore integration of environmental education into students' English writing studies where they are expected to learn about the numerous environmental repercussions while also developing English skills.This study focuses on this approach at a Chinese Independent High School in Selangor, Malaysia.Given that it lends meaning to any culture and a variety of aspects in the realms of science, the arts, and commerce, this topic is crucial to study.The chosen research methodology is qualitative.Five participants who were recruited using a purposive sampling process were the subjects of semi-structured interviews to gather the qualitative data.Thematic data analysis revealed that critical and creative thinking ought to play a significant role in the learning process in the classroom.The study's conclusions imply that teachers should prepare lesson plans where environmental elements are embedded into the learning outcomes or objectives.They need trainings to improve skills in preparing appropriate materials and content as well as to hone their pedagogical skills to deliver lessons effectively.
Exploration and Research on Innovative Strategies of Photojournalism Considering Rich Media Perspectives

Exploration and research on innovative strategies of photojournalism considering rich media perspectives is studied. The general advantages of professional photojournalists are strong political awareness and overall concept, strong news sensitivity, diverse expression techniques, and the courage to pioneer and innovate. Therefore, we consider the novel perspectives of the different sources to construct the efficient photojournalism considering rich media perspectives.
Research on the Fusion of Artificial Intelligence and 6G in Computer Network Technology

With the rapid development of information technology, in the 6G era, the popularization and application of artificial intelligence technology has an irreplaceable role in the operation and management of enterprises and the realization of sustainable development. The application in the development of industry, agriculture and other industries has greatly improved production. Efficiency and quality. The development of computer technology has created conditions for the development of artificial intelligence technology. In turn, the innovative development of artificial intelligence has also promoted the development of computer networks to a certain extent. With the advent of the "Internet +" era, computer network technology has had a huge impact on people’s production and life.
Offline Handwritten Mathematical Expression Recognition based on CLIP enhancement

Handwritten Mathematical Expression Recognition (HMER) aims to convert complex mathematical expression images into LaTeX expressions, which is of great significance in electronic documents and electronic education. The attention-based encoder-decoder architecture is very popular in HMER tasks. However, in the absence of large and medium-sized handwritten mathematical expression datasets, it is impossible to establish a pre-training task, and it is difficult to train a strong encoder from scratch. In addition, usually the decoder directly uses the high-level semantic features extracted by the encoder for decoding, and the low-level details are filtered out in the pooling layer, so the decoder pays little attention to the low-level information. In order to alleviate these two problems, this paper proposes a new ClipMath model. Its encoder is extended to a formula-text matching network based on CLIP-enhancement, including a formula-head and a text-head, which are used to cross-modal alignment of the image-state formula and the textual LaTeX label. The decoder uses the proposed Cascaded Multi-scale Decoder, which can incorporate features of different scales in the decoding process and improve the attention to detail information. Experiments show that the ExpRate of the proposed method on CROHME 2014, CROHME2016 and CROHME 2019 is 1.22%, 0.64% and 2.01% higher than the state-of-the-art model respectively.
Some problems of spelling vietnamese toponyms and anthroponyms in russian

In the course of development of Internet, search systems and scientometrics, a unified standard of spelling proper names, toponyms and anthroponyms among them, acquires special importance. The purpose of this article is to suggest such a standard for the papers for publication in editions of the Center for Vietnam and ASEAN Studies of the RAS ICCA. Based on the rules set in previous years, there are some suggestions for spelling Vietnamese letters and their combinations in toponyms and anthroponyms in Russian, as well as the written form of Vietnamese personal names, also in references.
Scientific Reflection on the State of the Problem of the Academic Culture Development Among Applicants for Higher Music-Pedagogical and Choreographic Education (early XXI century)

Adherence to the principles of academic culture is one of the main values of the corporate cultural environment of the university community of any HEI. Today, the implementation of each of the numerous functions of education - pedagogical, developmental, didactic and methodological, socio-pedagogical, value-oriented, as well as the function of professional and personal self-improvement - requires a lot from the educator. Namely, knowledge and consideration of ethno-cultural peculiarities of students, reasonable and expedient selection of content, methods and techniques of teaching and upbringing on this basis, the ability to productive dialogue and fruitful cooperation with the family of students and the community - all this can be the subject of intercultural competence education. At the same time, scientific developments in this field require practical confirmation of certain aspects of developing academic cultural trends, as well as identifying the most promising directions for the successful formation of a virtuous academic environment. The aim of the article is to clarify the key directions and trends of scientific developments in the field of development of academic culture of applicants for higher music, pedagogical and choreographic education. Based on the analysis of the survey results, it is advisable to study the point of view of specialists on this issue on certain practical aspects of scientific reflection of this problem. Methodology. During this study, the analytical and bibliographic method has been used to study the scientific literature on the academic culture of applicants for higher music, pedagogical and choreographic education, analysis, synthesis, induction, deduction in the processing of scientific information, as well as theoretical methods (systemic-structural, comparative, logical-linguistic, abstraction, idealization) and an online survey to study some practical aspects of the problem. Results. According to the results of the study, the peculiarities of the scientific developments on the topic of the research have been studied. Moreover, the major trends in the development of academic culture of applicants for higher music, pedagogical and choreographic education have been identified. In addition, the data on the peculiarities of the current state and prospects for the development of a successful formation of a virtuous academic environment in the above-mentioned sphere, supported by the results of the survey, have been established.
Hybrid Education in the Context of the Covid-19 Pandemic: Peculiarities of Training Humanitarian Specialists

The global Covid-19 pandemic has changed the established approaches and methods of the educational space. The education system was forced to obey the requirements and regulations implemented by the authorities to prevent spreading infectious diseases. Therefore, the evaluation of the training of humanitarian specialists requires thorough study and analysis. The study aims to consider the components of hybrid education within humanitarian education; to establish students' assessment of hybrid education. The research methodology is based on an integrated approach—the method of pedagogical experiment, statistical methods, and descriptive methods allowed to form an empirical basis. The hypothesis of the study lies in the fact that adaptation to hybrid learning involves the use of digital technologies. They include software, educational platforms, social networks, and tools for non-formal humanitarian education. However, education still requires full-time education and practical experience, which is challenging to obtain virtually. The result of the study determines the effectiveness of hybrid forms of learning using the capabilities of digital technologies for the training of a specialist in the humanities. The study involves: conducting experiments to solve the problem of training humanitarian specialists in the era of the pandemic and researching the right balance between studying at university and home. The primary purpose of such training is to maintain readiness for professional activities, reduce stress among students and teachers, and avoid professional combustion, which has become a fundamental problem of training during a pandemic. The study results made it possible to note that the majority of surveyed students have a positive attitude to the new conditions and methods of organizing the educational process. At the same time, students recognized the advantage of non-formal education. The article proved that the main problem of the implemented education systems for students was the lack of possibility of personal communication "student-student" and "student-teacher". A comparative description of forms of education (classical and hybrid) is provided. The main problem that is not solved by the introduction of hybrid education is the ineffective use of academic support, which is basic for humanitarian specialties. Based on the survey, a decreasing-increasing trend in the attendance of classes according to the mixed form of education was revealed, and the intensity of attendance increases before the final control of knowledge.
Improvement of Pedagogical Skills of Teachers of the Institution of Higher Education

One of the prerequisites for solving the important and difficult task of training competitive specialists in all branches of the economy is the effective development of the pedagogical excellence of a tertiary school teacher. The problem to be solved within the framework of this study is the assessment of the priority and importance of factors, forms and means of formation of pedagogical skills of teachers of higher education institutions. In the course of the research, an analytical method, synthesis, comparison of information, was used to study the scientific literature on the formation and development of the pedagogical excellence of teachers of higher educational institutions, as well as a questionnaire survey for practical clarification of certain practical aspects of achieving the optimal level of pedagogical excellence of a tertiary school teacher. According to the results of the research, based on the analysis of scientific studies and the conducted survey, the factors, criteria and tools that can be applied to achieve the optimal level of pedagogical excellence of teachers of higher educational institutions were studied. Consideration of this problem allows us to come to the conclusion that the purpose of the academic paper is to clarify the theoretical fundamentals and determine the standpoints of teachers, heads of departments and faculties of higher educational institutions regarding the features and factors of the development of the pedagogical excellence of a tertiary school teacher in order to increase the effectiveness of his professional activity.
Profiling of (Ir)reversible Binomials in Translated Texts

A binomial, or binomial pair, is a pair of words conventionally linked by a lexical link such as a conjunction or a preposition, for example, “day and night”, “life and death”, “dos and don’ts”, etc. Binomials are very common in all languages. Binomials can be reversible or irreversible; i.e. they share/do not share the same word order in the Source Language or Target Language. Binomials play a very important role in learners’ or speakers’ competence; the more binomials you are familiar with the more competent one would be. In this paper, we will examine binomials in the Arabic language; we will use corpus-based approaches to explore how binomials are reversible in Arabic and English. In an attempt to find a practical-digital way for language learners and translators to rely on when they come across conjoined words, mainly binomials, different approaches to binomial extraction have been explored. Corpus linguistic techniques and Mutual Information1 statistics are used to test the relations between the different parts of binomials; the most frequent binomials and conjoined phrases are analyzed in an Arabic text coupled with their translations into English. By calculating the significant binomials, mutual information helps us to identify what to examine in the concordance lines. Based on the analysis of the concordances of the data, some rules have been proposed, something which would enable language learners and translators to make generalizations and reach firmer conclusions regarding the order of parts within binomials and whether they are reversible or irreversible when translated from one language into another.
Spotify Application Training in Making Radio Dramas as Extracurricular Activities for Literary Studios at Schools

The extracurricular presence of literature has a role as part of literature learning in schools. Its existence provides extra space for students to deepen their insights into theory, appreciation and production of literary works as they can in the classroom. The purpose of this community service activity that is integrated with the Real Work Lecture is to provide solutions offered to overcome a problem. The solution carried out is by Training the Spotify Application in Making Radio Dramas as Extracurricular Activities for Literary Studios in Schools. The results of the activities of this community service activity program are: 1) Profiles of target groups that are able to self-help products as activities that encourage discipline, independence and knowledge; 2) Knowledge of the steps of making a radio drama which includes dubbing, script surgery, sound editing process, and uploading to the Spotify application; 3) Increase cooperation between the university and the school; 4) The creation of student discipline in spotify application training.
HSCA-Net: A Hybrid Spatial-Channel Attention Network in Multi-Scale Feature Pyramid for Document Layout Analysis

Document images often contain various page components and complex logical structures, which makes document layout analysis task challenging. For most deep learning based document layout analysis methods, convolutional neural networks (CNNs) are adopted as the image feature extraction networks. In this paper, a hybrid spatial-channel attention network (HSCA-Net) is proposed to improve feature extraction capability by exerting attention mechanism to explore more salient properties within document pages. The HSCA-Net contains two modules: spatial attention module (SAM) and channel attention module (CAM). They are embedded in the multi-scale feature network by lateral attention connection. SAM extracts contextual information with learning offset in spatial dimension and CAM performs feature recalibration by focusing more on feature channels with important contents. The lateral attention connection is to incorporate SAM and CAM into multi-scale feature pyramid network and retain more of the original feature information. The effectiveness and adaptability of HSCA-Net are evaluated through multiple experiments on publicly available datasets PubLayNet, ICDAR-POD and Article Regions. The mAP on these datasets is as high as 0.940,0.939 and 0.967 respectively, which demonstrate that our HSCA-Net achieves competitive results on document layout analysis task. Text.