Reviewerly/exHarmony huggingface dataset:
Light-Weight Learning-Based Depth Estimation From A Single Image

Estimating the depth of a scene from a single image is impossible due to scale ambiguity, but recent deep learning approaches have demonstrated to produce faithful estimates anyways by learning the typical scale of objects from implicit clues in the scene. In this paper, we present a new encoderdecoder architecture for single image depth reconstruction that yields state-ofthe-art results with considerably less parameters than competitors. Our architecture incorporates a modified inception module tailored to our application which allows us to use a relatively lightweight architecture with fewer learnable parameters than state-of-the-art single image depth reconstruction networks. We train and evaluate on the known NYU RGB-D benchmark dataset, and show generalization of our method by evaluating the pretrained NYU model on the iBims dataset. Our results are in the same order of magnitude as stateof-the-art competitors, even though we trained on a different resolution.
The tenth-gradestudents’ perception and motivation on English e-learning during the Covid-19 pandemic at SMAN 4 Bandar Lampung in the academic year of 2021/2022

The Covid-19 pandemic has resulted in the shifting of teaching-learning process replaced with E-learning. This study focused on knowing the students' perception and motivation towards English E-Learning during the Covid-19 pandemic at SMA Negeri 4 Bandar Lampung. The objectives of this research were to find outthe students’ perception and motivation toward English E-learning during the covid-19 pandemic. There were 80 students of tenth graders at SMA Negeri 4 Bandar Lampung who participated in this research. The instrument of this research was a questionnaire. This research applied descriptive research using quantitative method. The detections from data analysis, students show a positive perception toward English E-learning, because with E-learning, the process of learning English has become much easier and E-learning can foster students’ interest and motivated in learning English. Even though students found problems in implementing English E-learning, students also found learning English through E-Learning is quite effective.
KORELASI ANTARA MOTIVASI BELAJAR DAN AKTIVITAS BELAJAR DENGAN HASIL BELAJAR SISWA PADA PEMBELAJARAN TEMATIK KELAS V SEKOLAH DASAR NEGERI 35 PONTIANAK SELATAN

AbstractThis study aims to analyze the correlation between learning motivation, learning activities and learning outcomes in thematic learning of fifth grade students. The method used is a descriptive method in the form of a correlation study research. The population in this study were all fifth grade students at SDN 35 South Pontianak. Sampling was done by using purposive sampling technique with a total of 35 students in class VA SDN 35 South Pontianak. The results showed that learning motivation was 86.86%, learning activities were 74.98% and learning outcomes were obtained an average of 74.98%. Statistical calculations using the product moment correlation formula, namely learning motivation with learning outcomes obtained rcount 0.160, learning activities with learning outcomes obtained rcount 0.461, and learning motivation with learning activities obtained rcount 0.458, for learning motivation and learning activities with learning outcomes using the double correlation formula obtained Ryx1x2 of 0.465 is in the category of moderate relationship with fcount of 4.414 and ftable = 5% of 4.15 which means Fcount (4.141) &gt; Ftable (4.15). It can be concluded that there is a relationship between learning motivation and learning activities with learning outcomes in the thematic learning of class V Elementary School 35 South Pontianak.Keywords : Correlation, Activities, Motivation, Outcomes, and Learning
Reconhecimento de Placas Veiculares em Cenários Complexos utilizando o Método do Subespaço Mútuo e Redes Neurais Convolucionais

In this paper, two complete systems for license plate recognition are proposed.The first system uses the mutual subspace method and the second uses CNN.The proposed systems are used in complex environments, characterized by moving vehicles and with variation in lighting and resolution.The systems use pre-processing and vehicle detection techniques (YOLO) to identify and locate the license plate in the image.The results obtained were promising, presenting an accuracy of 56% for the mutual subspace method and 99% for the method based on neural networks.
EDUKASI MENGENAI INFORMASI BOHONG (HOAKS) DI KALANGAN GURU BERBASIS LITERASI

The purpose of this study was to analyze the educational needs of teachers regarding hoaxes and provide preventive measures to prevent hoaxes among teachers. This study uses a qualitative method with a case study approach. The results of this study indicate the importance of education programs regarding hoax information among teachers so that teachers do not immediately conclude the contents of the news without reading in detail about the contents of the news. In addition, teachers have more literacy awareness in seeking clarification of the truth about a hoax, reducing the rapid spread of hoaxes, and being able to spread digital literacy skills to students. Teachers as professionals have a strategic role to realize the vision of learning implementation. The development of science and technology brings logical consequences to the orientation of the development of teacher professionalism. The conclusion of this study is that a teacher needs to have digital literacy skills so that they are able to disseminate correct information.
Research of firmware of PON routers for software bookmarks

Network routers are an integral part of any corporate and home network. The number of devices in an organization's network can number in the dozens and it is not always possible to monitor the relevance of versions or their security. This is often used by malefactors and unscrupulous manufacturers. And in order not to prevent the consequences of a hacker attack, it is necessary to carry out activities in a timely manner to ensure information security. And you need to start with network devices and their diversity. Each such device has a firmware that specialists can check and detect both vulnerabilities and planned software bookmarks, such as backdoors, in it. To simplify and speed up this work, you can use a firmware scanner.
Refining Mutation Variants in Cartesian Genetic Programming

In this work, we improve upon two frequently used mutation algorithms and therefore introduce three refined mutation strategies for Cartesian Genetic Programming. At first, we take the probabilistic concept of a mutation rate and split it into two mutation rates, one for active and inactive nodes respectively. Afterwards, the mutation method Single is taken and extended. Single mutates nodes until an active node is hit. Here, our extension mutates nodes until more than one but still predefined number n of active nodes are hit. At last, this concept is taken and a decay rate for n is introduced. Thus, we decrease the required number of active nodes hit per mutation step during CGP’s training process. We show empirically on different classification, regression and boolean regression benchmarks that all methods lead to better fitness values. This is then further supported by probabilistic comparison methods such as the Bayesian comparison of classifiers and the Mann-Whitney-U-Test. However, these improvements come with the cost of more mutation steps needed which in turn lengthens the training time. The third variant, in which n is decreased, does not differ from the second mutation strategy listed.
EFL Students' Perception on the Use of Voice Note to Reduce Their Speaking Anxiety

The COVID-19 outbreak has forced our education process into online learning. Unfortunately, the suddenness has left both teachers and students unprepared, causing students to experience some degree of anxiety, particularly in foreign language speaking skills. This study aims to investigate students’ perception of voice notes to reduce students’ speaking anxiety. This study employed a quantitative approach with a survey study and used a questionnaire as the instrument. The participants of this study were tenth-grade students of SMAN 1 Malang who took extra English class as their cross-interest subject in high school. This study showed positive responses regarding using voice notes in a speaking activity conducted in ELT class as students thought it could reduce their speaking anxiety. Voice note then provides a new learning media that is less stressful and pressuring on ELT in an online setting.
Assessment in IT and CAT

Assessment is the process of "gathering information" on how learning goals have been reached (Lubbe and Mentz 2021:22). Formative assessmentThe purpose of formative assessment is to assess students' progress.Formative assessments are done while a specific topic is being studied or a specific skill is being learned.Formative assessment gives educators the opportunity to adapt their teaching and gives students the opportunity to reflect on their learning to improve teaching and learning.We can therefore say that formative assessment forms learning. Summative assessmentSummative assessments are done after a specific topic or section of the curriculum had been completed.Summative assessment aims to give a final mark to report on student achievement of a specific topic or attainment of a specific skill.Examples are tests, projects and final examinations (Airasian 2005:151). Informal/daily assessmentAssessment to determine if lesson aims have been reached.Informal assessment is carried out as part of normal classroom teaching (Siebörger and Macintosh 2004:20).Assessment which is done as part of the facilitation of a lesson to assess students' prior knowledge or to determine if lesson aims have been reached.
Artificial Intelligence-Based Segmentation of Residual Tumor in Histopathology of Pancreatic Cancer after Neoadjuvant Treatment

Introduction: Histologic examination of resected pancreatic cancer after neoadjuvant therapy (NAT) is essential to assess the effect of neoadjuvant treatment and guide the choice for adjuvant treatment. However, assessment of residual tumor burden in pancreatic cancer is challenging given high interobserver variability and the abundance of stroma. Machine-learning techniques may offer a more reproducible approach. This study aims to create a machine-learning algorithm that automatically segments histological residual tumor in resected pancreatic cancer after NAT. Methods: Tissue slides of resected pancreatic cancer after NAT of 64 patients (FOLFIRINOX, n=43, gemcitabine-based chemoradiotherapy, n=19, nab-paclitaxel, n=2) were digitized. We annotated and labeled tumor and pre-existent tissue types. Images and binary masks were generated (20x magnification, 0.5μm/px), and randomly distributed over a training (n=50), validation (n=5), and test set (n=9). Patches were generated (512*512px for training [n=14329]) and validation [n=2244]) and used to train and validate a U-net with a DenseNet161 encoder to recognize tumor. Accuracy of the validation set was expressed as Dice (F1) score. Results: We obtained a Dice (F1) score of 0.86±0.09 after 30 epochs of training for tumor segmentation. Figure 1 shows the patches of representative examples, of respectively the hematoxylin-eosin staining, annotations by the pathologists, and prediction by the algorithm. Conclusion: This study shows that artificial intelligence-based assessment of residual tumor burden is promising given the obtained Dice (F1) score for tumor segmentation. This model could be developed into a tool for automated assessment of the response to NAT and thus guide the choice for adjuvant treatment.
The Influence of the Principles of Network Interaction on Educational Systems (on the Example of the Art Education System of the Sverdlovsk Region)

The key idea of the study is to consider the network interaction between the subjects of the educational system. The purpose of the study is to analyze the features of the formation of an educational network community. The object of the study is network communities in the field of art education. The importance of effective interaction and continuity of the three-stage system of art education as key factors in the formation of an educational network community is highlighted and the problematic field of its formation is determined.
Extraction of Feature Quantities Suitable for Distribution Visualization of Motion Capture Data

To handle a motion-capture (Mocap) data set such as a Mocap database, it is beneficial to grasp the overview of the motion-characteristic distribution of the set in advance. To easily grasp the overview, concisely visualizing the distribution using a scatter plot is effective. In this paper, we propose a new method to extract the feature quantities suitable for the above visualization from each of the Mocap data. The one-dimensional motion-speed time series is analyzed in the frequency domain. Consequently, two feature quantities representing the motion intensity and motion complexity are derived. It is shown in the scatter-plot-construction experiments that explicitly weighting each frequency value in the frequency domain is effective for extracting the characteristics specific to each motion category.
Pedagogical Studio as a way to develop the technological competence of prospective foreign language teachers

Modern research in the field of professional pedagogical education, as well as training of prospective teachers of a foreign language reveals a necessity to implement theoretical knowledge, skills and abilities in the process of professional training of prospective teachers of a foreign language. The research results also show urgent need for deeper and more versatile development of acquired skills, including technological skills in various systems. The authors of the paper have chosen a pedagogical studio as one of the ways to develop technological skills of prospective foreign language teachers, mastering the higher education program in accordance with the Federal State Educational Standard 3++ and majoring in 44.03.01 Pedagogical education (bachelors degree level). During the implementation of the curriculum of the bachelors professional training program, a necessity to use pedagogical studios as a way to develop the technological competence of prospective foreign language teachers was defined. Career guidance, as one of the components of the pedagogical studio, provides an opportunity for a more detailed immersion into professional activities of a prospective teacher, reveals all the nuances of working in the school education system which also provides an opportunity to communicate with professionals and to exchange experience. Career guidance activity involves calendar and thematic planning aimed at the development of technological skills, and therefore, technological competence.
Analysis of Factors Driving Technological Development Against Changes in Learning Period IN the Covid 19 Era

The COVID-19 pandemic that hit Indonesia suddenly caused a shift from the face-to-face learning system to an online learning system. The smoothness of the online learning process is influenced by various factors that can hinder or hinder the smooth flow of online learning. Based on these results, this study was conducted to determine the factors that encourage online learning and how the criteria for these factors affect online learning. Technology acts as a means of interaction between teachers and students in the implementation of online learning. In addition, technology also helps educators easily provide learning materials, enabling them to continue learning without face-to-face contact. The implementation of online learning certainly presents obstacles that become challenges for educators of academic culture, such as values, attitudes, knowledge, skills, and the readiness of institutions and infrastructure related to technology. This research design uses descriptive qualitative research. The sample size is 65 of the total 80 population. The data collection method in this study used the no-test method by distributing closed questionnaires. Methods of data analysis using percentages and averages. Based on data analysis, the driving factor for online learning at a high standard is 77.27%, and the inhibiting factor at a high standard is 64.01%. From this, we can conclude that the drivers and barriers to online learning are at a high standard. Teacher motivation factors in online learning are adequate facilities and infrastructure, teacher motivation in planning online learning processes, teacher proficiency in using techniques, and communication between teachers and parents, and teacher online learning, the problem is teacher difficulties. It is difficult to implement interactions between teachers and parents, teachers and students when providing material.
Comparative Analysis of IPv4 and IPv6 OpenVPN Protocol Performance Based on QoS Parameters

Network security is still a big concern in data exchange because it involves users' data privacy. There are several ways to secure data exchange on the internet. One of them uses a Virtual Private Network (VPN), which functions as a tunnel in the public internet that securely connects users to the local network. This research will analyze the performance of the OpenVPN IPv4 and IPv6 protocols. The method used to determine the performance results is based on the QoS parameters. The performance analysis results obtained are throughput OpenVPN IPv6 is better, namely 198.155 Kbps on ICMP data packets, 35.704 Kbps on FTP data packets, and 17.698 on TCP data packets. The delay value of OpenVPN in IPv4 is superior, namely 1.4s for ICMP data packets, and on IPv6, FTP data packages are superior with 0.1s. Jitter values indicate OpenVPN IPv6 is better with similar results. Packet loss values on OpenVPN for both IPv4 and IPv6 protocols are 0%. Based on these results, throughput IPv6 OpenVPN on ICMP data packets and delay on FTP data packets is better than IPv4 OpenVPN.
Natural Language Generation Using Machine Learning Techniques

Natural language generation is a subfield of machine learning, consisting of creating systems that can produce understandable texts in the human language. It is applied to all areas dealing with reporting and content creation, such as journalism and online chatbots. Despite natural language generation being labeled as a subfield, it covers a vast range of topics beyond the scope of this paper. Instead, this research paper aims to provide an overview on select topics within natural language generation: Word Embedding, Long Short-Term Memory (LSTM), and Encoder-Decoder Architecture. The authors have analyzed and reinterpreted so that the audience has an improved understanding of natural language generation in spite of the topic’s broad reach.
The Implementation of K13 Curriculum in Madrasah Aliyah in The South West Region of Aceh (English Teachers’ Perspectives)

Teacher's perception of the K-13 is believed to be one of the factors that lead to the success or failure of the curriculum implementation. This is because the K-13 makes teachers have to adjust and change the learning style in the classroom. Considering the various phenomena about the K-13, the researcher was interested in conducting research the Implementation of the K-13 in the South West Region of Aceh (English Teachers’ Perspectives). In this research, the researchers also analyzed some obstacles faced by the English Teachers in implementing the K-13 and what solutions offered by STAIN Teungku Dirundeng Meulaboh as one of the universities which produce the teachers in the South West Region of Aceh. The research applied quantitative and qualitative approach that involved 21 English teachers who teach English at Madrasah across South West of Aceh. The result of the study indicated that the implementation of K-13 has not been effective due to several reasons such as the allocation time is insufficient and too many forms of assessment. Moreover, the English teachers issued that the biggest obstacle in implementing the K-13 was the excessive administrative demands. Therefore, the government of Indonesia, in this matter, the Deparment of Education has to ascertain that the majority of English teachers receive training related to K-13 and review the time allocation provided to the English teachers. For the English teachers, they should be creative and innovative in improving their understanding on K-13 using printed and online resources.
DEVELOPMENT OF INTERACTIVE DIGITAL MODULES ON FLAT BUILDING SPACE MATERIALS FOR CLASS IV STUDENTS

Interactive digital modules for broad flat wake materials for grade IV students are motivated by, the variety of use of teaching materials, especially in mathematics learning in Kepuh Kiriman Elementary School 1. Interactive digital modules can be used to learn independently because students get feedback (scores) directly. The purpose of this research is to describe the process of developing interactive digital modules on broad flat wake materials for grade IV students and know their feasibility. This research uses a type of development research or commonly known as Research and Development (R&amp;D). Using the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). However, it is limited to the Analysis, Design and Development stage.Â Data collection methods use questionnaires and documentation. Development research instruments used to assess the feasibility of interaktif digital modules are in the form of product feasibility questionnaires. Data analysis techniques use descriptive data analysis techniques for product processing and quantitative analysis to determine product feasibility. The results of this research are products of development results through three stages, namely Analysis (needs analysis, student analysis, content analysis / material), Design (the stage used to create an interactive digital module content framework) and Development (in the form of product development results.
IMPLEMETASI APLIKASI MOBILE PENGENALAN KAMPUS PADA MASA PANDEMI COVID-19

PKKMB is a place to raise awareness of the importance of understanding globalization and the industrial revolution 4.0. The introduction of the campus canbe done by introducing the rooms on campus by providing a location point usingmaps so that it can make it easier to identify the location of the rooms on campus. The research method used is determining the scope of research, consulting, studying related literature, and using the Extreme Programming method as asoftware development method. This application uses the Mobile platform and theJavaScript programming language with the React Native framework.
Governance Mechanisms for Access and Use of Data in Public Health Crises: Call for Action

The Covid 19 pandemic demonstrated the importance of access to data to ensure that authorities can make informed decisions in the event of a crisis.However, there are currently three types of barriers preventing access and use of data: technical barriers, especially the lack of uniform data formats and semantics; legal barriers, especially data protection that limits the use of personal data; and societal barriers, especially the lack of data literacy and trust.This call for action presents ways to overcome these barriers and pro-poses new governance mechanisms for the access and use of data in public health crises.