Reviewerly/exHarmony huggingface dataset:
The relationship of knowledge and application of balanced nutrition messages in adolescents in the Prevention of Iron nutritional Anemia

Anemia in adolescent girls is one of the problems of Public Health, which requires prevention and prevention as possible, because it can reduce immunity and human quality in the next generation. This study aims to determine the prevalence of anemia incidence and classification, the relationship of iron nutrition anemia knowledge, balanced nutrition knowledge and the application of balanced nutrition messages to anemia in young women using quantitative metho ds, cross-cectional design. Samples of students of Depok 6 Public High School numbered 394 people. Collecting data with questionnaires, examining hemoglobin levels with a Hb Quick Check tool. Measurement of height with microtoise and weight with digital scales of HN 289. This study showed that the prevalence of anemia was 46.4%, classification of anemia was 8.6%, anemia was 20% and anemia was mild 17.8%. Knowledge of iron deficiency anemia was quite 67.3%, balanced nutrition knowledge was quite 51.3%. The application of balanced nutrition messages that are not yet in accordance with PGS 64%, There is a significant relationship between balanced nutrition knowledge, application of balanced nutrition messages to iron nutrition anemia, (P &lt;0.05), no correlation between anemia knowledge and iron nutrition anemia (P&gt; 0.05) . Keywords: Balanced
Comparing the Performance of Three Decision Tree Models for Precipitation Prediction in Cengkareng Soekarno Hatta

This study evaluates and compares the performances of advanced decision tree algorithms, namely LightGBM, XGBoost, and Catboost, for precipitation prediction in Cengkareng Soekarno Hatta, a region in Jakarta, Indonesia that experiences heavy rainfall and flooding. Using historical rainfall data, the study evaluates the algorithm based on various metrics such as accuracy, precision, recall, F1 score, and ROC/AUC. The study aims to provide insight into the potential of advanced machine learning algorithms for precipitation prediction in the region. This study illustrates various visualization and analysis techniques for exploring and understanding data. The analysis employs three decision tree models, including LightGBM, XGBoost, and Catboost, to predict rain patterns. Results indicate that all models perform well in predicting no rain, but struggle with moderate and heavy rain. AUC values for all models are similar, indicating their equal ability to distinguish between positive and negative instances. The study highlights the importance of using appropriate visualization techniques to gain insights into the data and explores the correlations between different features to better understand the underlying relationships.
WOUND CARE WITH MOIST WOUND DRESSINGS FOR HEALING DIABETIC GANGRENE: SYSTEMATIC REVIEW

Introduction. Wound care with moist wound dressings is an effective and beneficial option for treating diabetic ulcers which often result in healing of old wounds that end in amputation. Writing this literature review aims to identify the effectiveness of the use of wound care with diabetic gangrene moist wound dressing. Method. The literature review writing method goes through several stages: creating questions and keywords namely MESH (Medical Subject Heading), identification, eligibility, selection of article inclusions, screening, and assessment. The selection process listed in the literature framework resulted in 4 articles. Articles are summarized and assessed using critical appraisal according to the research design in each article. Result&amp;Analysis. The wound care method with moist wound dressings has been proven to significantly help the healing process of diabetic gangrene wounds. The wound care method with the principle of moisture balance, is more effective than conventional methods. Discussion. Modern dressing wound care has been proven to help heal diabetic wounds effectively, this is evidenced by the mechanism of the average decrease in the occurrence of the wound dressing process and an increase in the quality of life of diabetic ulcer wound patients after being treated with modern wound dressing methods.
Model Design of Motor Sales Information System in Cv. Jaya Baru Motor

The purpose of this research is to build a system that is expected to facilitate the input of sales data and minimize errors in the sales data processing process. The data collection method used is by means of interviews, observations, and coupled with literature studies that have a relationship with the problem at hand. While the research method used is descriptive qualitative research with the Waterfall model development system. CV. Jaya Baru Motor In transaction data processing and processing activities are still manual, so there are often many errors. The effort to solve this problem is to create a web-based sales information system model.
PEMANFAATAN TEKNOLOGI INFORMASI DAN KOMUNIKASI SEBAGAI MEDIA PEMBELAJARAN DI POLITEKNIK NEGERI MEDIA KREATIF

Abstrak: Teknologi Informasi dan Komunikasi (TIK) yang terus berkembang dari waktu ke waktu memberikan banyak manfaat dalam beberapa bidang termasuk dunia Pendidikan. Politeknik Negeri Media Kreatif yang lulusannya dituntut memiliki kreativitas tinggi agar dapat bersaing dengan dunia industri harus membuat proses belajar mengajar dalam mendidik mahasiswa dituntut kreatif. Penelitian ini bertujuan untuk melihat bagaimana pemanfaatan TIK dapat mempengaruhi proses pembelajaran di kampus Polimedia. Penelitian ini merupakan penelitian kualitatif deskriptif dengan pengumpulan data melalui angket, observasi, wawancara dan kajian pustaka. Hasil penelitian ini menunjukkan bahwa TIK sangat unik dan dapat meningkatkan minat siswa ketika diterapkan dalam kegiatan belajar mengajar. Kata Kunci: Teknologi, Informasi, Komunikasi, Media Pembelajaran Abstract: Information and Communication Technology (ICT) which continues to develop from time to time provides many benefits in several fields including the world of Education. Creative Media State Polytechnic whose graduates are required to have high creativity in order to compete with the industrial world must make the teaching and learning process in educating students demanded to be creative. This study aims to see how the use of ICT can affect the learning process on the Polimedia campus. This research is a descriptive qualitative research with data collection through questionnaires, observations, interviews and literature review. The results of this study indicate that ICT is very unique and can increase student interest when applied in teaching and learning activities. Keywords: Technology, Information, Communication, Learning Media
Education and Communicating Positive Young Minds in Creating Sustainable Environment and Development

Purpose: Proposed course content for each group age is outlined from the early age of a child to the university education system. However, these course contents are a recommendation which indicates the importance of continuity to ensure that the young generations will subsequently not only aware of preserving the environment and its surroundings but, will also work hard to improve the existing situation of the world for a quality environment and a better place to live. &#x0D; Design/methodology/approach: These programs and activities include the awareness and sensitivity to the depleting greens, flora, and fauna, the climatic change due to human activities, and the pollution to soil and groundwater. Humans, animals, and other living things rely greatly on soil, water air, and the sun.&#x0D; Findings: Thus, it is critical to inculcate better understanding and creating a more caring society to ensure the sustainability of the earth for the future existence of mankind. &#x0D; Research limitations/implications: In this paper, a discussion on the need of introducing environmental geotechnics to young generations as early as in the pre-school education is deemed necessary as being conducted by most developed countries.&#x0D; Practical implications: Developing countries such as Malaysia must start now to ensure that existing resources such as its soils and groundwater quality are preserved as the country continue to strive in becoming a developed and modern country by the year 2020.&#x0D; Originality/value: Claim your originality here.&#x0D; Paper type: Research paper.
Nursing Students’ Learning Support, Outcome, and Satisfaction Towards Online Learning

Online learning in nursing education has been carried out for a long time by several educational institutions worldwide. However, online learning in Indonesia has been forced to take place since the Coronavirus Disease 2019 pandemic was announced. This study aims to determine how students perceive learning support and how it relates to learning outcomes and student satisfaction in online learning that has been implemented for the even semester of 2021. This study involved 160 respondents willing to participate in filling out statements related to online learning support, Grade Point Average (GPA), and satisfaction. The data were analyzed using the Pearson test. The results showed a positive correlation between support for nursing student satisfaction during online learning (p&lt;0.05). However, this study's support did not correlate with learning outcomes (p&gt;0.05). Most nursing students perceive instructional, lecturer, peer, and technical support positively. A detailed explanation of why the results of this study are important and discussed in the article. In conclusion, educational institutions must periodically evaluate students' perceptions of learning support, which is not only limited to online learning but also blended learning which is likely to be applied. In addition, satisfaction can also help assess how to provide an overview of students' views as regular customers at nursing education institutions.
Crowd Counting and Density Estimation using Deep Network-A Comprehensive Survey

&lt;p&gt;In machine vision, the tasks of both the crowd counting and the crowd density estimation attracted a number of researchers from different research institutes throughout the world. These tasks are of significance importance while analyzing the surveillance videos and images both at the real and ofﬂine modes. A number of different conventional and modern algorithms are being applied to estimate the accurate amount of people from the crowd from the target image or video file but failed to provide the required results due to heterogeneity of the data instances. To resolve the issue, machine learning models like deep networks like Convolution Neural Network (CNN) and its variants were introduced. In this paper, a detailed and comprehensive review of the work related to both of the crowd counting and density estimation using deep network is provided in quite a very unique way to make it useful for the researchers working in the field of computer vision. Following are the salient features of our review that play key role in making our contribution worthwhile and unique among the surveys and reviews of similar kind: (i) our survey intends to classify the noteworthy literature with respect to the application and the tasks related to crowd counting and density estimation, (ii) the survey also tried to cover in-depth contributions in crowd counting existing works at different level like images or videos (iii) this state-of-the-art review covers each article in the following dimensions: the designated task performed, source level, results obtained, features used, and (iv) lastly it concludes the summary of the related articles according to the publishing years, related tasks (or subtasks), and types of classifiers used. In the end, major challenges and tasks related to crowd counting and density estimation in computer vision are also discussed.&lt;/p&gt;
PEMANFAATAN BAHAN AJAR EKRANISASI UNTUK MENINGKATKAN KREATIVITAS MENULIS CERPEN SISWA KELAS XI MA DDI PATTOJO KABUPATEN SOPPENG

The Use Of Ecranization Teaching Materials to Improve the Creativity of Writing Cerpen in Class XI MA DDI Pattojo Soppeng District. This study aims to (1) describe the planning of using ecranization teaching materials to increase the creativity of writing short stories for class XI MA DDI Pattojo students, (2) describe the application of the use of ecranization teaching materials to increase the creativity of writing short stories for class XI MA DDI Pattojo students, (3) describe the results of using ecranization teaching materials in learning to write short stories for class XI MA DDI Pattojo students. This type of research is a type of Classroom Action Research. Data collection techniques used are observation, interviews, questionnaires, and field notes. The collected data were analyzed using descriptive statistical analysis with the help of the SPSS application. Based on the results of this study it can be interpreted that by utilizing ecranization teaching materials in learning to write short stories there is an increase in student learning outcomes.
KEMAMPUAN MENULIS TEKS BERITA MELALUI VIDEO YOUTUBE “KOMPAS TV” SISWA KELAS VIII SMPN 3 SUNGGUMINASA

Ability to Write News Text via Kompas TV Youtube Video for Class VIII Students of SMPN 3 Sungguminasa. The purpose of this study was to describe the ability to write news text on YouTube Kompas TV videos for Grade VIII students of SMPN 3 Sungguminasa in terms of the structure and language rules of news. This research is a descriptive quantitative research. The method used in the writing test is to measure students' understanding of the main points of the news. The results of the study obtained the average value of the ability to write news text in the structural aspect, namely 70 which was categorized as sufficient. The average value of the ability to write news texts based on rules is 63 which is categorized as sufficient. This shows that the ability to write video news texts for Youtube Kompas TV Class VIII students of SMPN 3 Sungguminasa is in the quite capable category.
CYBERSECURITY PERSPECTIVE WITH THE USE OF VIRTUAL ENVIRONMENTS IN EDUCATION

Today, in today's world, the use of the Internet and information and communication technologies assist in teaching practice at all educational levels.Specifically, in the management of online technological tools, academic teachinglearning, communication, collaboration, dissemination and dissemination activities have been used to develop, to mention some of the most important.Therefore, the educational community is concerned with the imminent risk of being victims of cybercrimes.The purpose of the research is to raise awareness in the academic community of the need to identify and use cybersecurity controls that benefit the use of the Internet in a safe and reliable manner, accepting international standards that reinforce security.Likewise, act as a channel of diffusion in the student community to safeguard their privacy and integrity.The ISO/IEC 27032 Standard is a recognized and accepted international standard to guarantee the action measures provided in this study.
MODELING OF CHILDREN-INCLUSIVE CLOTHING: AN INTERACTIVE AND DIDACTIC PROPOSAL

This course completion work in fashion design training presents the results of the case study, modeling the design of inclusive children's clothing, suitable for people with physical disabilities (PwD), in the interaction of design with fashion, also involves an interactive, educational proposal for the creation of puppet shapes for visual reading of the misshapen body with contributions from exploratory and bibliographic research, started in the 2020.1 semester.
Unlabeled Data Selection for Active Learning in Image Classification

Abstract Active Learning has emerged as a viable solution for addressing the challenge of labeling extensive amounts of data in data-intensive applications such as computer vision and neural machine translation. The main objective of Active Learning is to automatically identify a subset of unlabeled data samples for annotation. This identification process is based on an acquisition function that assesses the value of each sample for model training. In the context of computer vision, image classification is a crucial task that typically requires a substantial training dataset. This research paper intro-duces innovative selection methods within the Active Learning framework, aiming to identify informative images from unlabeled datasets while minimizing the number of required training data. The proposed methods, namely Similarity-based Selection, Prediction Probability-based Selection, and Competence-based Active Learning, have been extensively evaluated through experiments conducted on popular datasets like Cifar10 and Cifar100. The experimental results demonstrate that the proposed methods outperform random selection and conventional selection techniques. The superior performance of the novel selection methods underscores their effectiveness in enhancing the Active Learning process for image classification tasks.
Blockchain Applications for Engineering Systems

Engineering systems have been designed to facilitate society. These systems can be seen everywhere in our daily lives ranging from electrical systems to mechanical systems, and from bio-medical systems to industrial systems. With tight coupling with information and communication technology (ICT), these engineering systems can be even controlled and monitored remotely. These systems are supported massively with sensors through which they capture enormous data, which is then used to improve the performance of the systems. Moreover, complex processes are involved in the overall functioning of these engineering systems. The management of data and processes within these engineering systems has been done through traditional ways such as database management systems or spread sheets, however, involvement of multiple parties makes these engineering systems more complex to operate, track, and audit. Blockchain technology has the potential to replace traditional database systems and offers a level of trust in an untrusted environment. With features of immutability, traceability, transparency, availability, and decentralization, blockchain technology is a good match for engineering systems. Blockchain technology can help in supply chain in these engineering systems, but it can also be used to facilitate data, process, and parties. Considering enormous applications of blockchain technology in engineering systems, this Special Issue in Wiley Engineering Reports invited for the original scientific and technical contributions.
Analysis of English Translation Strategies from the Characteristics of Internet Buzzwords

Due to the development of the internet and network language, a new type of buzzwords, namely Internet buzzwords, has appeared in recent years. This article mainly focuses on the question of what translation strategies do Internet buzzwords use during their translation. Reasons for the popularity of internet buzzwords and their characteristics are firstly discussed. Then, considering the original form and the translation version, the Internet buzzwords are summarized into three types: Number-plus-suffix type, Double-meaning type, and Chinese-Characteristic type. Finally, the choosing principles of different translation strategies are compared and analyzed, mainly focusing on the functional equivalence theory of Nida and the domestication and foreignization theory of Venuti. At the end of this paper, the author concluded that the translator should choose the translation strategy according to the purpose of translating: use the domestication strategy when transmitting information about specific events or common emotions and use the foreignization strategy when focusing on cultural characteristics. However, the basic meaning of internet buzzwords should always be translated primarily.
Pengaruh Metode Talking Stick terhadap Hasil Belajar Siswa pada Mata Pelajaran Sejarah Indonesia Kelas X SMA Negeri 5 Kota Serang

&#x0D; Obstacles in the history learning process in class X IPS 3 SMA Negeri 5 Kota Serang are due to the use of conventional methods used by teachers, so students are not actively involved. The formulation of the problem in this study is whether the Talking Stick method can improve student learning outcomes in Indonesian history subjects in class X IPS 3 SMA Negeri 5 Kota Serang?. The purpose of this study was to improve student learning outcomes after applying the Talking Stick method to the History subject of Class X IPS 3 at SMA Negeri 5 Kota Serang. This type of research is Classroom Action Research (CAR), in this study there were three cycles, namely Pre-Cycle, Cycle I and Cycle II. The data collection in this study was a test of learning outcomes and observation sheets. Based on the results obtained, there was an increase in student learning outcomes after the implementation of this method. In this class there were 48 students with 14 girls and 14 boys. In this study the researchers only involved a sample of 30 students consisting of 15 male students and 15 female students. This can be seen from the increase in student learning outcomes in cycle I of 65.1 and cycle II of 72.8. So it can be concluded that using the Talking stick method can improve student learning outcomes in Indonesian History subjects and is able to increase students' interest in learning in the implementation of Indonesian History learning. &#x0D; Keywords: Talking stick; Learning Outcomes; Indonesian History.
HYPER-HYPONYMIC RELATIONSHIPS BETWEEN PARONYMIC TERMS «CAUSAL» AND «CAUSATIVE»: CORPORA-BASED VERIFICATION

Introduction and research background.«Causality» and «causativity» are important concepts in both philosophy and linguistics, but making an objective judgment of their scope is quite a challenging task.A general conceptualization of causal relations pivots on the distinction between causality (a law-like relation between types of events) and causation (the actual causal relation that holds between individual events) [5, p. 273].Such single-root paronyms can easily misguide both native and non-native speakers due to their similar spelling, especially in cases when either speakers' intuition contradicts information in the existing refence works or different researchers tend to use varying terms for naming the same concept [6, p. 139].Moreover, quite often they may have a hyper-hyponymic relationship based on morpho-semantic properties, where a hypernym refers to more general issue and a hyponym points to more specific one [4, p. 327].This paper aims at using corpus-guided investigations to reveal semantic changes and provide valuable insight into semantic shift of the terms «causality» and «causativity», as well as their derivatives.Research methodology.Corpora and associated tools provide new opportunities for an objective empirical analysis of language data.This paper used NOW (News on the Web) and COCA (the Corpus of Contemporary American English) to complete a two-stage semantic verification process [1; 2].Firstly, the NOW Corpus which contains 17.2 billion words from newspapers and magazines from 2010 till the present time (the most recent update was on April 16, 2023) is used to define whether the single-root adjectives «causal» and «causative» are followed by the different nouns on the right side.The semantic analyses of the nouns with the compared adjectives will shade the light on the nature of set collocations, which tend to describe either the abstract or specific notions.Secondly, by scouring COCA that contains 1 billion words from different genres covering the texts from 1990 to 2019, one can improve the armchair