Reviewerly/exHarmony huggingface dataset:
PENGENALAN PERTANYAAN ESENSIAL UNTUK PENGEMBANGAN BAHAN AJAR YANG HOTS KEPADA GURU SEKOLAH DASAR

In 21st-century learning, life skills are indicated to be essential. Basic literacy is known to be one of them. Unfortunately, Indonesia is indicated to be low in literacy. Despite the Gerakan Literasi Sekolah [School Literacy Movement] offered by the government, literacy results are still low. This analysis indicated that improvement in Higher Order Thinking Skills (HOTS) is needed. This condition encouraged us to introduce essential questions as a part of language literacy to teachers to develop basic literacy skills. Reviews indicated that essential questions were effective to stimulate HOTS. Adopting educational design research, the researcher provided a diagnostic test to identify teachers’ literacy levels. The diagnostic was then followed by a short workshop to assist teachers to develop learning scenarios with essential questions in it. The learning scenarios developed by teachers suggested the requirement for teachers to have more practice in developing essential questions. Therefore, a module with step-by-step ways to develop essential questions followed by thorough workshops and training needs to be proposed as the follow-up.
Exploring Challenges EFL Pre-Service Teachers Experience in Teaching Practicum: A Transformative Learning Perspective

&lt;p&gt;&lt;span lang="EN-US"&gt;This study examines pre-service teachers' experience, especially on challenges they face through transformative learning. Qualitative descriptive research was utilized as a research methodology to explore the teachers’ experience during teaching practicum. Five seventh semester students of English education department were invited to be the participants of the study. The data were collected through reflective notes and in-depth interviews and then analyzed thematically. The results show that the pre-service teachers confront several obstacles throughout their teaching practicum. According to the data, the obstacles pre-service experienced were a Tension between vision and reality, teaching practicum, which is accompanied by class lectures, classroom management, and lack of supervision. The obstacles are then explored via transformational learning, which enables teachers to overcome them, particularly in classroom management, enhancing their capacity to choose teaching techniques depending on the needs and skills of students. This study is hoped the difficulties during teaching practicum faced by pre-service teachers can be reduced so that the objectives of teaching practicum can be achieved properly.&lt;/span&gt;&lt;/p&gt;
Implementation Of Monitoring and Control Temperature and Humidity Based on IoT in The Oyster Mushroom Cultivation Room

Oyster mushroom is one of the favorite horticultural commodities consumed by Indonesian people. In the cultivation of oyster mushrooms, there are many obstacles faced by farmers, including the difficulty in maintaining the temperature and humidity of the kumbung room so that to maintain the stability of temperature and humidity, farmers must always check and do regular watering. With these problems, a temperature and humidity monitoring and control system is needed to maintain the stability of temperature and humidity in oyster mushroom cultivation by automatically watering and heating the room temperature of the kumbung. The design of the system was designed based on the results of interviews with oyster mushroom farmers regarding the constraints faced, then proceed with the design and manufacture of hardware and software for an IoT-based oyster mushroom kumbung watering and heating system. The result of this research is that the system can respond to changes in temperature and humidity conditions in the kumbung room by automatically watering and heating the kumbung room. To return to the setpoint temperature value (25 o C-28 o C), it is necessary to heat the kumbung room with an average duration of heating of 383 seconds, and to return to the setpoint humidity value (75%-90%), it is necessary to water the kumbung room with an average watering time of 115 seconds.
Analysis of Family Health with a Combination of Naive Bayes KNN Methods

Health is a very important part in the life of our nation and country, in a developed and developing nation there is a healthy society. Healthy can be defined as the state of an individual who is prosperous both physically, economically and socially. Health is what needs to be maintained and cared for for the survival of a nation and state. Seeing the importance of the health element in a nation, the government has implemented the Nawacita program with one of the points referring to family health. In implementing the healthy family program, the government has sought to collect data and control healthy families with a family approach. Looking at the data collection system for healthy families with status determination, that is, averaging the indicator values to get the family's health status. The researcher intends to develop in terms of determining family health status by using a combination method of the K-Nearest Neighbor (KNN) method with Naïve Bayes with the aim of knowing the results of applying the method and obtaining better results. Based on the results of the research conducted, the accuracy value of 93.53% was obtained in the combination model of the Naïve Bayes KNN method. So it can be concluded that the combination of these methods is good for determining family health status.
Evaluation of Bicluster Analysis Results in Capture Fisheries Using the BCBimax Algorithm

Biclustering is a simultaneous clustering technique by finding sub-matrixes that have the same similarity between rows and columns. One of the biclustering algorithms that is relatively fast and can be used as a reference for the comparison of several algorithms is the BCBimax algorithm. The BCBimax algorithm works by finding a sub-matrix containing element 1 of the formed binary data matrix. The selection of thresholds in the binarization process and the minimum combination of rows and columns are essential in finding the optimal bicluster. Capture fisheries have an important role in supporting sustainable growth in Indonesia, so information on the potential of fish species that have similarities in several provinces is needed in optimally mapping the potential. The BCBimax algorithm found 11 optimal biclusters in grouping capture fisheries data. The median of each variable is used as a threshold in the binarization process, and the minimum combination of row 2 and maximum column 2 is chosen to find the optimal bicluster result. The optimal average value of Mean Square Residual bicluster obtained is 0.405403 with the similarity of bicluster results (Liu and Wang index) which is different for each bicluster combination produced. All the bicluster results grouped the provinces and types of fish that had the same potential simultaneously.
EDUCATIONAL ENVIRONMENT OF HIGHER EDUCATION INSTITUTION AS A RESOURCE FOR TRAINING FUTURE TEACHERS FOR INNOVATIVE ACTIVITIES

The article highlights the theoretical and applied aspects of the transformation of the processes of building an appropriate educational environment in a higher education institution. The content of the concept of "educational environment" and its structural organization as a resource for training future teachers for innovative activities in institutions of higher education has been clarified. The content of the macro, meso, and micro levels of the formation of the educational environment as a resource for preparation for innovative activity is determined. The components of the structural organization of the educational environment as a resource for training future teachers for innovative activities in higher education institutions are analyzed. The personal component involves active inclusion in the educational process of all participants in the educational process. The axiological component involves aligning the vision, strategy, values, rituals and symbols with the innovative trends within the corporate culture of the higher education institution. The substantive component involves the updating of educational and professional training programs for future teachers by including extracurricular activities and preparation for competitions, social projects that regulate the harmonious interaction of the subjects of the educational process. The activity component involves the generalization of experience and the adaptation of forms, methods, means, and technologies for the implementation of innovative activities through the communication styles of the subjects of the educational process at all levels within formal and informal collectives. The resource component provides for the creation of the material and technical infrastructure of the higher education institution. Summarizing the above, an important task in institutions of higher education is the creation of conditions for the development of an appropriate educational environment, which contributes to the formation of the personality of a future specialist capable of realizing, producing and applying innovative products in his/her own pedagogical activity
Analysis of video education program cases based on legacy media and immersive media

With the development of today's ICT technology, media platforms are diversifying.There are numerous video contents are produced and consumed in various media platforms.Elementary school students in 3 rd or 4 th grade or higher who use smartphones are a generation accustomed to selectively consuming contents, easily filming with the smartphone camera, uploading the video online or sharing it with others through social media.Therefore, the students need education to strengthen 'media literacy' as active and communicative creators who directly produce and participate in videos as well as abilities to properly read and understand the characteristics of each media and discriminate information well.The study searches for papers on the development and application cases of video education programs through the keywords of 'video education', 'STEAM' and 'media literacy'.It compares and analyzes two cases of video education programs developed based on legacy media and one case of video education program based on immersive media for 3 rd to 6 th elementary school students.
<i>Of</i>-binominal Classification

One of the challenging features in the classification of of-binominals is distinguishing between the syntactically very similar forms. Therefore, Chapter 2 presents a variety of diagnostic tests in order to tease apart the constructions in the evaluative binominal noun phrase family. This chapter presents a comprehensive overview and discussion of the tests used in previous studies resulting in the following classification criteria: head status (Noun 1 or Noun 2), constituency tests, constraints on the selection of the two nouns, determiner selection restrictions, and the status of the preposition of. These tests are then used to classify all six of the of-binominals addressed in this study.
The EBNP Family: A Construction Grammar Analysis

Chapter 8 examines the findings from both Part I and Part II of this study from a CxG perspective. It begins with an introduction to CxG theory, constructional network models, and the most recent work on horizontal relationships in the network. I argue that the most interesting aspect of the CxG account is the network perspective on language change; this allows for speculation on how the language system might have influenced syntactic and semantic changes found. Furthermore, it is shown that both the allostruction model and multiple inheritance links are needed in order to explain the changes found in this grammaticalization path. In particular, the CxG analysis posits a link to the simple NP frame starting with the head-classifier, which would account for the internal changes that took place in the EBNP, evaluative modifier, and binominal intensifier. The persisting inheritance link between these constructions and the N+of-PP schema would offer a plausible explanation for the reappearance of the indefinite determiner in the EBNP. Competition between these two schemata, N+of-PP and simple NP, would explain the formal and functional changes found in the grammaticalization path.
PENINGKATAN HLASIL BELAJAR MATEMATIKA MATERI PENGURANGAN MENGGUNAKAN MEDIA PAPAN BERHLITUNG PADA PESERTA DIDIK KELAS I SD NEGERI SAWAHL BESAR 01

The purpose of this study was to improve the learning outcomes of subtraction material by using a counting board for first grade students at SDN Sawah Besar 01 consisting of 29 students. This type of research is class action assessment using the spiral model which is carried out in two cycles. The data collection techniques used were observation, test or evaluation, and documentation, then a descriptive analysis was carried out from the data obtained. The results showed that after giving action for two cycles the average value of the learning outcomes assessment test with arithmetic reduction using a counting board in mathematics subject experienced an increase in the first cycle resulting in a percentage value of 59% and an average of 75.17, while for the second cycle the increase percentage of 31% to 90% with an average of 93.10. It can be concluded that the counting board media can be further applied to improve student learning achievement, especially in mathematics subject matter of addition.
IMPLEMENTASI PROGRAM BEDAH POJOK BACA KELAS UNTUK MENINGKATKAN LITERASI SISWA DI SEKOLAH DASAR

The lack of availability of adequate classroom reading corners and attracting students' attention has an impact on students' reading interest. This activity aims to implement the Class Reading Corner Surgery Program as an effort to improve student literacy in elementary schools. The method used is a participatory approach through collaboration between the activity implementation team, teachers, and students. The first phase was conducted an initial survey to evaluate the existing condition of the reading corner and based on the survey results, the reading corner surgery program was designed by involving physical renovation, procurement of new books, and development of interesting activities to improve students' interest and reading skills. The results of this program show a positive impact on significantly improving student literacy in elementary schools. After going through the process of renovation and procurement of books, the reading corner in the classroom becomes more interesting and comfortable for students. This Class Reading Corner Surgery Program not only focuses on the physical aspect, but also pays attention to the development of students' reading interest and reading skills. With this program, it is expected that students' literacy in elementary schools can increase significantly, having a positive impact on their learning and development.
Deciphering of Latent Handwritings in a Century-Old Document

This case report is presented to reveal the contribution of different disciplines to forensic sciences via a case that required the examination of a questioned historical document with the support of a native Romanian speaker and linguist who contributed to differentiating several specific letters and confirming the deciphered names of the locations to understand the full text of the latent handwritings on the document. In this case, Document Examination Laboratory was asked to decipher the latent handwritten words on a birth certificate belonging to the applicant's ancestor. As a result of the examination made under ultraviolet light using VSC8000, the latent parts were deciphered, and the words were confirmed with the support received. In this case, the fact that the laboratory had successfully deciphered the words in the document, led to the applicant's right to apply for Romanian citizenship through his grandfather.
Retracted: Research on the Driving Factors of Constructing Innovative Thinking Environment from the Perspective of Online Community

[This retracts the article DOI: 10.1155/2022/6063418.].
Retracted: Teaching Mode of Basic Piano Course in Colleges Based on Students’ Application Ability under FC Environment

[This retracts the article DOI: 10.1155/2022/4710520.].
Retracted: The Collection and Utilization of Web Resources for Teaching World History Based on Data Mining Technology

[This retracts the article DOI: 10.1155/2022/9124952.].
Retracted: Predicting Characteristics Associated with Breast Cancer Survival Using Multiple Machine Learning Approaches

[This retracts the article DOI: 10.1155/2022/1249692.].
Retracted: Development of University Music Education Based on Neural Network and the Reform of Music Education in Normal University under the Environment of Ability Education

[This retracts the article DOI: 10.1155/2022/7605593.].
Retracted: Design of Integrated Management System of IPE Instructional Resources Information Based on Artificial Intelligence Environment

[This retracts the article DOI: 10.1155/2022/4594090.].
Retracted: Research on Sino Japanese Comparative Literature from the Perspective of Sustainable Ecological Environment

[This retracts the article DOI: 10.1155/2022/5396135.].
Retracted: Deep Image Watermarking to JPEG Compression Based on Mixed-Frequency Channel Attention

[This retracts the article DOI: 10.1155/2022/9880038.].
Retracted: Application of Optimized GA-BPNN Algorithm in English Teaching Quality Evaluation System

[This retracts the article DOI: 10.1155/2021/4123254.].
Retracted: Application of Punitive Damages in Intellectual Property Law in Complex Network Environment

[This retracts the article DOI: 10.1155/2022/4806045.].
Retracted: Influence of Health Education Based on IMB on Prognosis and Self-Management Behavior of Patients with Chronic Heart Failure

[This retracts the article DOI: 10.1155/2022/8517802.].
Retracted: Application of Multimode Learning Environment Based on the Internet in College English Teaching

[This retracts the article DOI: 10.1155/2022/8913927.].
Retracted: A Decision Model for Public Economic Environment Monitoring and Management Decision Using Improved Ant Colony Algorithm

[This retracts the article DOI: 10.1155/2022/4096566.].
Retracted: Evaluation System of Music Art Instructional Quality Based on Convolutional Neural Networks and Big Data Analysis

[This retracts the article DOI: 10.1155/2022/1668750.].
Retracted: Design and Construction of University Book Layout Based on Text Image Preprocessing Algorithm in Education Metaverse Environment

[This retracts the article DOI: 10.1155/2022/6219401.].
Retracted: An Improved Strategy for Task Scheduling in the Parallel Computational Alignment of Multiple Sequences

[This retracts the article DOI: 10.1155/2022/8691646.].
Retracted: Construction of a Basic Japanese Teaching Resource Base Based on a Deep Neural Network under a Big Data Environment

[This retracts the article DOI: 10.1155/2022/4897660.].
Retracted: Optimization of Personnel Placement Scheme and Big Data Analysis Based on Multilayer Variable Neural Network Algorithm

[This retracts the article DOI: 10.1155/2021/3250062.].
Retracted: The Application Value and Influence of Integrated Nursing of Operating Room and Disinfection Supply Center Combined with 6Sigma Management in Operating Room Instruments

[This retracts the article DOI: 10.1155/2022/8490473.].
Retracted: Relieving the Incompatibility of Network Representation and Classification for Long-Tailed Data Distribution

[This retracts the article DOI: 10.1155/2021/6702625.].
Retracted: Information System Security Evaluation Algorithm Based on PSO-BP Neural Network

[This retracts the article DOI: 10.1155/2021/6046757.].
Retracted: Human Action Recognition in Smart Cultural Tourism Based on Fusion Techniques of Virtual Reality and SOM Neural Network

[This retracts the article DOI: 10.1155/2021/3495203.].
Retracted: Aesthetic and Implication Analysis of the Traditional Poetic Environment Based on Natural Language Emotion Analysis

[This retracts the article DOI: 10.1155/2022/3300449.].
Implementation and analysis of symmetrical signals in the sequency domain

Every transform has unique attributes and traits that are crucial to reducing computing costs and offering simple solutions. Many different frequency domain transformations, for instance, have properties that can be used in a variety of signal processing applications and analyses. Some of the Complex Hadamard Transform's variants' sequencies can be compared to those of the Discrete Fourier Transforms. It is proven the characteristics of the Conjugate Symmetric Sequency-Ordered Complex Hadamard Transform symmetry. These qualities are crucial for signal analysis and image processing. Due to duplicate spectra across the origin, it reduces computational complexity, makes an analytical analysis for symmetric signals simpler, and needs less storage. Its analysis shows that the Discrete Fourier Transform and this Complex Hadamard Transform version exhibit similar symmetry tendencies. By using elementary signals in the time domain to connect the positive and negative sequencies with their associated phasor conceptions, sequency domain spectra are used to highlight these properties. As a result of image representation, relative spectra are represented in related domains. Transform can be used to extract and analyze various aspects from a wide range of medical images.
Retracted: Potential Fault Diagnosis Method and Classification Accuracy Detection of IGBT Device Based on Improved Single Hidden Layer Feedforward Neural Network

[This retracts the article DOI: 10.1155/2021/6036118.].
Retracted: Network Information Security Platform Based on Artificial Intelligence for the Elderly’s Health “Integration of Physical, Medical, and Nursing Care”

[This retracts the article DOI: 10.1155/2022/5975054.].
Retracted: Prediction and Evaluation of Machine Learning Algorithm for Prediction of Blood Transfusion during Cesarean Section and Analysis of Risk Factors of Hypothermia during Anesthesia Recovery

[This retracts the article DOI: 10.1155/2022/8661324.].
Retracted: An Analysis of Students’ Work Values Education Strategies and Environment Based on Psychological Contract

[This retracts the article DOI: 10.1155/2022/4798768.].
Retracted: Effect of CICARE Communication Mode on Disease Uncertainty, Self-Nursing Ability, and Quality of Life in Patients with Coronary Atherosclerotic Heart Disease after Percutaneous Coronary Intervention

[This retracts the article DOI: 10.1155/2022/8654449.].
Retracted: Design of Financial Management Model Using the Forward Neural Network Based on Particle Swarm Optimization Algorithm

[This retracts the article DOI: 10.1155/2022/7536492.].
Retracted: Posture Monitoring of Basketball Training Based on Intelligent Wearable Device

[This retracts the article DOI: 10.1155/2022/4121104.].
Retracted: Analysis of English Multitext Reading Comprehension Model Based on Deep Belief Neural Network

[This retracts the article DOI: 10.1155/2021/5100809.].
Retracted: Dynamic Gesture Recognition Algorithm Based on 3D Convolutional Neural Network

[This retracts the article DOI: 10.1155/2021/4828102.].
Retracted: A Comprehensive Assessment of Cultivation Environment of Top Innovative High-Level Talents Based on Deep Learning Algorithm

[This retracts the article DOI: 10.1155/2022/4846103.].
Retracted: Audience Evaluation and Analysis of Symphony Performance Effects Based on the Genetic Neural Network Algorithm for the Multilayer Perceptron (GA-MLP-NN)

[This retracts the article DOI: 10.1155/2021/4133892.].
Retracted: Practice and Exploration of Music Solfeggio Teaching Based on Data Mining Technology

[This retracts the article DOI: 10.1155/2022/5436772.].
Retracted: Mental Health Evaluation Based on Visual Analysis Technology

[This retracts the article DOI: 10.1155/2022/6706698.].
Retracted: Employing Multimodal Machine Learning for Stress Detection

[This retracts the article DOI: 10.1155/2021/9356452.].
Retracted: Difference Analysis of Regional Economic Development Based on the SOM Neural Network with the Hybrid Genetic Algorithm

[This retracts the article DOI: 10.1155/2021/6734345.].