Reviewerly/exHarmony huggingface dataset:
USE OF ARTIFICIAL INTELLIGENCE IN HISTOPATHOLOGICAL INTERPRETATION - A MINI REVIEW

The accuracy of artificial intelligence (AI) in medicine, particularly pathology, has improved significantly, but little is known about how much these algorithms will influence pathologists' decisions in practice.&#x0D; Most developing-country laboratories lack resources such as whole-slide scanning and digital microscopes. They are unable to manage massive volumes of data due to severe budgetary restrictions and a lack of resources. Because of these limitations, valuable data cannot be kept or used appropriately.&#x0D; This review attempts to describe the role of AI in histopathological interpretation.
EFEKTIVITAS PENGGUNAAN ABU SEKAM PADI (Oryza sativa) SEBAGAI ADSORBEN TERHADAP KADAR BESI ( Fe ) PADA PENGOLAHAN AIR BAKU

Clean water is a basic need for humans. Clean water that meets health requirement and is suitable for use as clean water can be determined by physical, chemical and biological water quality requirement determined by Minister of Health Regulation Number 32 of 2017 concering Environmental Health Quality Standards and Water Health Requirement for Sanitation, Swimming Pools, Solus Per Aqua and public baths which say the level of iron (Fe) in clean water is 1 mg/l. Rice husk is a by-product of the rice milling process which has been a waste that is rarely used and has the potential as an adsorbent for iron (Fe) levels. Ini this study, rice husks were prepared with two treaments without activation and with 30% NaOH activation after baing heated in a furnace at 400oC for 1 hour. The adsorbent was then tasted with groundwater containing high levels of iron (Fe) with an adsorbent weight of 5 grams, where the adsoption process was carried ot with contact time, namely 2 hours and 4 hours. The optimum adsorption process was obtained at contact time of 4 hours and with an activation treatment with average percentage of 70,644%.
Pengembangan Media Pembelajaran Multimedia Peka (Pembagian Perkalian) Pada Materi Pembagian Dan Perkalian Mata Pelajaran Matematika Siswa Kelas III SD

This research is motivated by the problems that exist in SDN Gayam 3, which shows the learning of Mathematics in the basic competencies of subtraction and addition in grade III. In this study using the RnD (Research and Development) method. The development model used is the ADDIE research model which has 5 stages, namely : (1) Analysis Stage, (2) Design Stage, (3) Development Stage, (4) Implementation Stage, (5) Evaluation Stage. The subjects of this study were 29 students of grade III SDN Gayam 3 Kediri city. The data analysis technique used is descriptive qualitative analysis and quantitative descriptive analysis. The result of this study indicate that (1) the validation results obtained from the media validator reach a percentage of 86,66% and the validator material 91%. Then the results of the validity an average percentage of 89%. So that devepment media can be declared valid. (2) The results of the teacher’s response questionnaire rechead a percentage of 88,5%. So that media development is declared practical. (3) The results of the analysis of limited trials and wide trials of post test questions reached 83 and 88,4, there is a significant difference through the Paired T-Test. So that the development of PEKA media is stated to be effective for use.
Pelatihan Penerapan Gim Edukasi dalam Pembelajaran Bahasa Indonesia di Sekolah Dasar

The use of games has been widely used by elementary school students, but the games used are more entertainment in nature and do not have educational content. This training aims to implement educational games and find out students' perceptions of implementing educational games developed using the GDevelop application. The training participants were fourth grade students at SDN Lariang Bangi 1, Makassar City, for the 2022/2023 Academic Year, totaling 34 respondents. The training uses Goad model. Data collection techniques in the training used are questionnaires, interviews and documentation. The results of this training show that most of the students have been able to use educational games well, besides that students are very enthusiastic and motivated by the implementation of the educational games provided. the application questions in the game can help students to remember the material presented by the teacher. In addition, students also feel challenged when working on questions given by the teacher with a duration of time
A Measure of Complexity for Strategy-Proof Mechanisms

We propose a measure of strategic complexity for strategy-proof mechanisms. In particular, we characterize a class of implementations for which we provide a complete ranking in terms of their strategic complexity, in a well-defined sense. The class---which we call essential frames---includes virtually all strategy-proof mechanisms used in practice.
PENERAPAN MODEL PEMBELAJARAN PROBLEM BASED LEARNING UNTUK MENINGKATKAN HASIL BELAJAR MATA PELAJARAN BAHASA INDONESIA KELAS IV SEKOLAH DASAR

The low learning outcomes of class IV narrative text material make learning ineffective. The research objective is to improve student learning outcomes. The research was carried out in two cycles with the PBL (Problem Based Learning) model, in early learning the average value was 75, increased by 81 in cycle I, and Cycle II increased by 93. The percentage of completeness in early learning was 50% then in Cycle I it increased by 70 %, and Cycle II rose 95%. The percentage of incompleteness before the cycle was 50%, then Cycle I decreased by 30%, and Cycle II decreased again by 5%. The conclusion of the application of the PBL model is able to improve learning outcomes in Indonesian language class IV at SDN 02 Girimoyo, Malang Regency.
Factors Influencing the Quality of Online Teaching: Application of DEMATEL and Cluster Technology

With the informationization of higher education, colleges and universities can fully apply online teaching mode to education and teaching. Therefore, analysis of factors affecting teaching quality of college teachers in online teaching can effectively make evaluation object (teachers) have a sense of achievement and pride, so as to mobilize enthusiasm of evaluation object and to stimulate the consciousness of honor and shame and consciousness of competition. This study adopts application of DEMATEL and Cluster technology, conducts a questionnaire survey on 5 colleges and universities in Henan Province, analyzes and identifies the teachers’ factors among factors affecting teaching quality of E-commerce courses, and analyzes comprehensive influence index of teachers’ factors, namely impact degree, affected degree, cause degree and centrality degree. A cluster flight is carried out on evaluation results of students. Results show that X2-2, X2-4, X2-5, and X4-3 represent high degree of centrality and high degree of cause, that is high importance of factor and the cause factor. The results of teacher evaluation can be divided into three groups by the K-means clustering method, and the clustering group shows significant significance for all research items (p &lt; 0.05). The weights of X2-2, X2-4, X2-5, and X4-3 in cluster analysis also rank the top four, which is highly consistent with the results of DEMATEL’s research, demonstrating that application of DEMATEL and Cluster technology proposed is very maneuverable and scientific. Research results have important reference value for improving online teaching strategy, improving the quality of online teaching, and regulating teaching activities as a whole through the use of online teaching quality evaluation.
Blended learning as a model in the effective profiling of students in the system of secondary general education

Introduction. The influence of blended learning on the process of profiling secondary general education is an urgent pedagogical task. In modern educational conditions, new pedagogical technologies are used for learning processes, which are used in modern educational technologies. The aim of the study is to theoretically substantiate, develop a structural and functional model for the profiling of general education in conditions of blended learning and introduce the model into the learning process. Materials and methods. The research is based on such methodological approaches as: activity approach, systemic, environmental, competence-based, personality-oriented. Methods used: theoretical analysis method, generalization method, synthesis method, methods of mathematical and statistical data processing. Research results. The article presents a new structural and functional model of general education profiling, which, as experimental work has shown, of high quality of education, as well as high quality of the profiling process. The expediency of implementing the proposed model from the point of view of the application of blended learning technologies within the framework of a specialized profiling secondary school is substantiated.
Multi­-Vector Interaction of a Higher Education Institution with Stakeholders in the Educational Communication System

The purpose of the article is to provide a conceptual justification (mainly based on the materials of KSAC) of the essence of multi-vector interaction in the system of internal and external communication of higher educational institutions with the main stakeholders of the educational process.&#x0D; The methodology. The peculiarity of the analysis of the multi-vector interaction of higher education institutions with stakeholders in the system of educational communication required the application of the entire spectrum of principles and methods of socio-communicative and cultural-educational direction.&#x0D; The results of the study of the given topic are embodied in the concept, proposed by the authors, of raising the higher education of Ukraine to the European and world level, which involves, first of all, a fundamental reform of its substantive, structural, organizational, methodological and technological foundations.&#x0D; The scientific novelty of the researched topic is that, in fact, for the first time, the authors, on the basis of a comprehensive study of scientific sources, based on many years of scientific and pedagogical experience at Kharkiv State Academy of Culture, qualified the communication links of a higher education institution on the micro-, meso-, exo-, macro- and mega-levels.&#x0D; The practical significance of the scientific results of the study of the given topic is that they can be used for further study of this and similar issues, and can also be used in the process of educational and creative work of higher education institutions teachers of Ukraine during the interaction of higher education institutions with stakeholders in the educational communication system.
Language for Description of Worlds. Part 2: The Sample World

This is the second part of the paper. In this part we will use the world of the chess game in order to create the language we are looking for. We will show how a complex world can be described in a simple and understandable way. Before describing the movement of chess pieces, we will need to extend the concept of algorithm. The new concept describes the algorithm as a sequence of actions performed in an arbitrary world. In the meaning of the new concept, a cooking recipe is also an algorithm. If we look at a world in which there is an infinite tape and a head which travels over the tape, then the algorithm of that world will be a Turing machine. This means that the new concept of algorithm is a generalization of the old one. Computer programs are algorithms both in the new concept and in the old one, however, there are many other sequences of actions which extend the concept.
MACHINE LEARNING UNET-BASED SEGMENTATION OF SENTINEL-1A SATELLITE IMAGES

Image segmentation is an area of study which has generated a lot of interest in engineering in the last few years. Segmentation of Sentinel 1A satellite images is an area that is not as common as that of its optical counterparts as a result of the appearance of its images. The focus of this paper is the segmentation of Sentinel-1A Synthetic Aperture Radar (SAR) satellite images using UNet, a Deep learning technique designed specifically for semantic segmentation of images. The model was developed with Python programming language in keras, which is a deep learning Python API running on the Tensorflow framework. The satellite images were acquired from the European Space Agency’s (ESA) Copernicus satellite acquisition hub. The performance evaluation was carried out with Jaccard Index or Intesection over Union (IoU) and Accuracy metrics. The IoU metric measures the number of pixels common between the target and prediction masks divided by the total number of pixels present across both masks while the Accuracy metric reports the percent of pixels in the image which were correctly classified. The results recorded in the evaluation had IoU as 0.42 and an Accuracy of 95%. This show a high performance of the model in segmenting images.
Data Mining Application for the Spread of Endemic Butterfly Cenderawasih Bay using the K-Means Clustering Algorithm

The superfamily Papilionoidea day butterfly, which is endemic to the Cenderawasih Bay islands (Numfor, Supiori, Biak and Yapen), consists of 6 family species: the Papilionidae, Hesperiidae, Pieridae, Riodinidae, Lycaenidae and Nymphalidae families. This study aims to analyze the grouping of endemic butterflies of the Bay of Cendrawasih based on wings and colours in 4 Clusters, namely Numfor, Supiori, Biak and Yapen Islands, by applying the function of the K-Means Clustering algorithm data mining method. The grouping selection was carried out 7 times with the conclusion that Numfor had 13 types of Endemic Butterfly species, Biak had 7 Papuan Endemic Butterfly Species, Supiori had 9 Endemic Butterfly Species, and Yapen had 11 Endemic Butterfly Species. The analysis results were then retested in an application built using the Waterfall system development method and the PHP and MySQL programming languages. In addition to applying the K-Means Clustering algorithm for grouping endemic butterflies, the application created produces a butterfly distribution map that displays butterfly information based on family.
A Reliable Cloud Communication System Using Attribute-Based Cryptography

Abstract Cloud communication systems are increasingly being used to store and exchange sensitive information. However, ensuring the confidentiality and integrity of data in the cloud remains a significant challenge. Attribute-based cryptography (ABC) has emerged as a promising solution for secure cloud communication. It allows data to be encrypted and accessed based on a set of user-defined attributes. This paper proposes a reliable cloud communication system that leverages attribute-based cryptography to provide secure and efficient data storage and retrieval. The proposed system employs a hybrid encryption scheme, combining symmetric and attribute-based encryption, to achieve both efficiency and security. Data is first encrypted using symmetric encryption, ensuring fast and secure transmission to the cloud. Then, the symmetric key is encrypted using attribute-based encryption, which enables fine-grained access control and allows only authorized users with specific attributes to decrypt the data. To enhance the reliability and availability of the system, data is replicated across multiple cloud servers using erasure coding. This redundancy ensures data durability and enables efficient data recovery in case of server failures or data corruption. Additionally, the system incorporates secure data deduplication techniques to optimize storage utilization and reduce network bandwidth consumption.
A Simulation Model Based on Experimental Data to Determine the Optimal Tilt Angle for a Fixed Photovoltaic Pane

The angle at which a photovoltaic (PV) panel is tilted has a significant impact on its performance, as it affects the amount of solar energy the panel can capture. This paper explores a new mathematical model, as well as simulation and experimental results, to determine the optimal tilt angle for PV panels. The optimal angle is determined by searching for the values that yielded the highest total solar radiation on the PV panel surface for a specific period, and this study introduces a new method to find the yearly optimal tilt angle for a fixed PV panel. The proposed model uses experimental data to simulate the performance of a fixed PV panel at different tilt angles and determine the angle that harvests the highest energy production. The results of the simulation model can be used to guide the installation and positioning of PV panels, allowing for more efficient energy production. Overall, the simulation model provides a valuable tool for optimizing the performance of fixed PV panels and increasing the use of renewable energy sources. The experimental site is located at Famagusta, Cyprus, and the ideal tilt angle for maximum solar radiation was found to be 27°, with a total solar radiation of approximately 2016.99 kWh/m2. The simulation results were then compared to those of four different methods, and it was discovered that solar panels could be installed in that region at angles ranging from 21° to 32° in order to capture the maximum energy from solar radiation for a PV panel.
The Use of Cartoon Media in Elementary School English Learning to Improve Learning Outcomes

English language learning in primary schools is still not optimal. This is because English is not given explicitly. This factor makes children's interest in learning English decrease. Therefore, teachers are required to make English learning more fun and attract children's attention by adding a variety of learning media in the teaching and learning process. This research is a Classroom Action Research, which is research conducted in the classroom with an emphasis on improving or enhancing learning processes and practices. The application of learning media Cartoon Pictures can improve student learning outcomes on the material Jobs and Professions. In detail, the increase in the percentage of completeness of student learning outcomes in cognitive aspects can be seen in cycle I which in the initial condition only amounted to 31.57% increased to 73.68%. After the action was taken again in cycle II, the percentage of completeness of student learning outcomes also increased to 100%. Furthermore, an increase also occurred in the percentage of learning outcomes in the affective aspect in cycle I of 68.24% of students in the good and very good categories, increasing to 84.21% of students in the good and very good categories. Future research needs to explore the use of cartoon media in English language learning in elementary schools in various materials.
Kefektivitas Pengunaan Media Pembelajaran dalam Meningkatkan Minat Belajar Kognitif Siswa Sekolah Dasar Kelas III SDN Sindang Panon 2

The effectiveness of the use of learning media is an effort to achieve the targets that have been set according to the needs, plans, using data, facilities, and available time to obtain maximum results both qualitatively. Learning media is a tool that can help the teaching and learning process. The purpose of this writer is to determine the effectiveness of the equipped learning media. with learning models. The method used in this study using observation techniques. Conclusion learning media and learning models are needed in the teaching and learning process because the presence of media and the models used can improve student learning outcomes. This study aims to determine: 1) student learning outcomes by using instructional media to increase students' cognitive learning interest. 2) student learning outcomes by using learning media can reach the level of students' cognitive learning interest. 3) is there a difference in learning outcomes using learning media and media modules on student competence. This type of research is a qualitative approach. The research was conducted from January to June. Methods of data collection using observation. Validity and Reliability using learning media. Data analysis techniques by making learning media directly. The results showed that: 1) Student learning outcomes for class V by using instructional media can improve students' cognitive learning. 2) Student learning outcomes in class V by using instructional media can be said to increase. This is evident in the use of module learning media showing significant differential power, namely calculated 2.120&gt; 1.880 tabled at a significant level of 5%. Thus it can be concluded that the hypothesis that reads "there is effectiveness in the use of instructional media in improving the cognitive learning of fifth grade elementary school students" can be accepted. This means that the use of learning media is very effective in increasing students' cognitive learning interest compared to not using learning media.
Performance analysis of sentiment classification based neural network

Deep learning has more significant advantages for word embedding technology than sentiment analysis. This paper studies the application of deep learning on the word embedding problem in context, mainly discusses the RNN model with Word2Vec and without Word2Vec, then compares and analyzes their performance in the experiment, mainly evaluating the accuracy and test loss of seven models. This paper compares and illustrates the model which gets the different results in experiments, complementing the model and re-running the model, and analyzing the reasons for the difference in the performance of each model. The seven models are a single-layer neural network, multiple-layer (two and three) feed-forward neural networks, Convolutional Neural Network (CNN)- A feedforward neural network, which consists of single or multiple convolutional layers, pooling layers, and a fully connected layer on top, so this model is good at image processing. Long Short Term Memory (LSTM)- A temporal recurrent neural network, the advantage of the model is it could solve the gradient disappearance and explosion problem when it handles the long-sequence problem. Bi-directional Long Short Term Memory (Bi-LSTM)-Composed of forwarding LSTM and backward LSTM, it is very common for sequence labelling tasks that are related to the top and bottom, which are often used to model context information in NLP. Bi-directional Encoder Representation from Transformers (BERT)- A bidirectional language model. Finally, this paper analyses and evaluates these models with a specific illustration and research.
Upaya Meningkatkan Kemampuan Membaca Permulaan dengan Menggunakan Metode Pembelajaran STAR Kelas 1 SDN Pabuaran Tumpeng 2

The most basic education learned by humans is reading, writing, and arithmetic. Especially reading lessons, reading the beginning of the initial steps of reading skills, with an emphasis on the process of reading activity, which will be a reference for initial reading is recording and decoding. Beginning reading learning is the level of the process of learning to read to master the writing system as a visual representation of language. For this reason, efforts that can be made are to foster students' reading interest, motivate students, choose STAR reading learning strategies for relevant reading learning, and improve students' creative thinking skills. The main and fundamental problem in this study is whether through the STAR method students' initial reading ability can be improved? The purpose of this study was to improve the beginning reading skills of grade 1 students at SDN Pabuaran Tumpeng 2 using the STAR method. To answer the problems above, the researcher conducted a class action research. This class action research design uses the STAR method in accordance with the class action research criteria. The data collected is through observation and tests at the end of each cycle. The methods used in this research are descriptive, communicative and qualitative methods.