Reviewerly/exHarmony huggingface dataset:
Task-Based Learning Implementation through Google Classroom in Senior High School

The pandemic forces teachers to adjust their teaching methods to the online learning, which includes the implementation of Task-Based Learning. The online implementation would be different from the one in the conventional learning due to the use of learning platform. Therefore, this study was conducted to (1) analyse the implementation of Task-Based Learning through Google Classroom and (2) analyse the problems faced by the teacher in the implementation. This study took one English teacher along with 39 students as the subjects of the study. This study is descriptive qualitative study. The data collected through observation and interviews. The analysis was conducted through three stages, which were data reduction, data display, and conclusion drawing or interpretation. Then to ensure the validity of the findings of this study, the researcher conducted triangulation in the form of triangulation of method. The results indicated that the teacher implemented Task-Based Learning through Google Classroom by following three cycles, including (1) Pre-Task cycle, (2) Task cycle, and (3) Language Focus cycle. It was implemented by using several features on Google Classroom as well as other Google platforms, which was implemented synchronously and asynchronously. Besides that, the teacher faced three main problems related to the large number of students in a class, time limitation, and difficulty in preparing the learning materials.
A Logical Semantics for PDDL+

PDDL+ is an extension of PDDL2.1 which incorporates fully-featured autonomous processes and allows for better modelling of mixed discrete-continuous domains. Unlike PDDL2.1, PDDL+ lacks a logical semantics, relying instead on state-transitional semantics enriched with hybrid automata semantics for the continuous states. This complex semantics makes analysis and comparisons to other action formalisms difficult. In this paper, we propose a natural extension of Reiter’s situation calculus theories inspired by hybrid automata. The kinship between PDDL+ and hybrid automata allows us to develop a direct mapping between PDDL+ and situation calculus, thereby supplying PDDL+ with a logical semantics and the situation calculus with a modern way of representing autonomous processes. We outline the potential benefits of the mapping by suggesting a new approach to effective planning in PDDL+.
The Relationship Between Teachers’ ICT Abilities and Parental Guidance on Student Learning Motivation During The Covid-19 Pandemic in Batupapan

The purpose of this study was to determine whether there is a relationship between the teacher's ICT ability and parental tutoring on students' learning motivation at SDN Gugus Batupapan, Tana Toraja Regency. This research was conducted on teachers of highgrade students, namely grades 4.5 and 6 at SDN Gugus Batupapan. The population of high-class students at SDN Gugus Batupapan is 587 students. In this study, the Yamane or Slovin formula was used to determine the sample size for students, namely by using probability sampling technique with random sampling so that a total sample of 247 students was obtained. While the population of the number of teachers as many as 24 teachers. The method used in this study to see the causal relationship of an independent variable (X) to a certain variable (Y) is to use the ex-post facto research method with the type of correlation research. This study used two types of analysis, namely descriptive statistical analysis and inferential statistical analysis on SPSS 24. Based on the statistical analysis of the teacher's ICT ability variable, the highest score was 105.00 and the lowest score was 74.00. The results of the analysis show that the mean is 88.3333, the median is 89.000, the mode is 89.00 and the standard deviation is 8.41152. Analysis of the variable data on parenting tutoring data obtained the highest score of 108.00 and the lowest score of 55.00. The results of the analysis show that the Mean is 83.8509, the Median is 83.00, the Mode is 75.00 and the Standard Deviation is 10.14893. Data analysis of students' learning motivation variables obtained the highest score of 111.00 and the lowest score of 55.00. The results of the analysis showed the Mean of 83.8138, the Median of 84,000, the Mode of 85.00 and the Standard Deviation of 11.96938. So it can be said that students' learning motivation is related to the ability of the teacher's ICT in terms of its application in the learning process. Parental tutoring is significantly related to the level of student learning motivation. Furthermore, the second variable, namely the ability of teachers' ICT and parental tutoring has a joint relationship with students' learning motivation.
PELATIHAN EVAKUASI DAN TRANSPORTASI PADA DRIVER AMBULANS LAZIZMU BANYUMAS

Accidents or unwanted events can happen anywhere and anytime. This incident can be a small incident or a disaster involving a large number of sufferers. Those who attempt to provide this help have varying degrees of knowledge ranging from no knowledge to those who may have been trained. There is a golden time between assistance in the field until the victim can get help by medical personnel at a health facility, so this response time must be used properly so that the victim will survive. The speed of evacuation of victims of traffic accidents is one of the important goals in emergency assistance. In a dangerous situation, a rescuer may need to move the patient immediately. In a dangerous situation, it is very important for rescuers to take appropriate, fast and alert action. Ambulance is a specially designed medical transportation that is different from other modes of transportation. The emergency ambulance is designed to be able to handle emergency patients, provide first aid and perform intensive care during the trip to the referral hospital. This activity was carried out by conducting evacuation and transportation training for the Lazizmu Banyumas ambulance driver and the Banyumas ambulance community which was attended by 38 drivers. This training uses lectures, demonstrations and red-emonstration methods on how to evacuate and transport patients. The result of this training is an increase in driver skills in evacuating and transporting patients in accordance with standard operating procedures (SOPs). The impact of this service is to increase the confidence of ambulance drivers in providing first aid in prehospital events.
Development of "Tcode" Learning Model (Qr-Code Based TGT) and the Role of Digital Literature to Improve Learning Results Economic Students of Class X IPS SMA N 1 Tukka Kab. Central Tapanuli TP. 2021/2022

This research is motivated by the low economic learning outcomes of students of class X IPS SMA N 1 Tukka Kab.Central Tapanuli.The purpose of this study is to develop an innovative learning model using the ADDIE method to produce a TCODE learning model with the role of digital literacy to improve student economic learning outcomes.Based on the validation of the learning model experts gave an assessment of 92.5%, media experts 87.5%, and material experts 90%.So that the developed model is feasible to use.From the t-test, it is known that the sig value is 0.004 <0.05.So it can be concluded that the TCODE learning model is effectively used.Furthermore, through the 2-way Anova test obtained a sig value of 0.00 <0.05, the conclusion is that there is an interaction between learning models and digital literacy to improve economic learning outcomes.
Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification

&lt;abstract&gt; &lt;p&gt;Classification using supervised learning requires annotating a large amount of classes-balanced data for model training and testing. This has practically limited the scope of applications with supervised learning, in particular deep learning. To address the issues associated with limited and imbalanced data, this paper introduces a sample-efficient co-supervised learning paradigm (SEC-CGAN), in which a conditional generative adversarial network (CGAN) is trained alongside the classifier and supplements semantics-conditioned, confidence-aware synthesized examples to the annotated data during the training process. In this setting, the CGAN not only serves as a &lt;italic&gt;co-supervisor&lt;/italic&gt; but also provides complementary quality examples to aid the classifier training in an end-to-end fashion. Experiments demonstrate that the proposed SEC-CGAN outperforms the external classifier GAN (EC-GAN) and a baseline ResNet-18 classifier. For the comparison, all classifiers in above methods adopt the ResNet-18 architecture as the backbone. Particularly, for the Street View House Numbers dataset, using the 5% of training data, a test accuracy of 90.26% is achieved by SEC-CGAN as opposed to 88.59% by EC-GAN and 87.17% by the baseline classifier; for the highway image dataset, using the 10% of training data, a test accuracy of 98.27% is achieved by SEC-CGAN, compared to 97.84% by EC-GAN and 95.52% by the baseline classifier.&lt;/p&gt; &lt;/abstract&gt;
Analisis Kelengkapan Pengisian Dokumen Rekam Medis Rawat Inap Pasien BPJS Pada Diagnosis Cephalopelvic Disproportion Di Rumah Sakit Mitra Keluarga Husada Pedan 2019

Based on the results of the analysis of 10 medical record documents at the Mitra Keluarga Husada Pedan hospital, there is an incomplete filling of medical record documents.The purpose of this study was to determine the completeness of filling inpatient medical record documents for BPJS patients in the diagnosis og cephalopelvic disproportion at Mitra Keluarga Husada Pedan Hospital in 2019. This type of research is descriptive with a retrospective approach. The population in this study were 173 medical record documents with a sample of 10 medical record documents. Sampling was done by using simple random sampling technique (simple random). The way of collecting data is by observation and interviews. Data processing by colleting, editing, classifying, tabulating and presenting data. The data analysis used was univariate analysis. The results of the research from 10 inpatient medical record documents of BPJS patients on the diagnosis of cephalopelvic disproportion showed that the completeness of the identification review was 10 documents (100%), the completeness of the reporting review was 10 documents (100%), the completeness of the authentication review was 10 documents (100) and completeness in a good recordkeeping review of 8 documents (80%). The results of this study can be concluded that the filling out of medical record documents is not yet complete, it is necessary to conduct a socialization and evaluation regarding filling out medical record documents, as an effort to improve the quality of the completeness of hospital medical record documents.
YOLOv5-based Vehicle Objects Detection Using UAV Images

Traffic is the situation and movement of pedestrians, animals, and vehicles on highways. The regulation of these movements and situations is also a basic problem of traffic engineering. It is necessary to collect data about traffic in order to produce suitable solutions to problems by traffic engineers. Traffic data can be collected with equipment such as cameras and sensors. However, these data need to be analysed in order to transform them into meaningful information. For a difficult task such as calculating and optimizing traffic density, traffic engineers need information on the number of vehicles to be obtained from the image data they have collected. In this process, artificial intelligence-based computer systems can help researchers. This study proposes a deep learning-based system to detect vehicle objects using YOLOv5 model. A public dataset containing 15,474 high-resolution UAV images was used in the training of the model. Dataset samples were cropped to 640×640px sub-images, and sub-images that did not contain vehicle objects were filtered out. The filtered dataset samples were divided into 70% training, 20% validation, and 10% testing. The YOLOv5 model reached 99.66% precision, 99.44% recall, 99.66% mAP@0.5, and 89.35% mAP@0.5-0.95% during the training phase. When the determinations made by the model on the images reserved for the test phase are examined, it is seen that it has achieved quite successful results. By using the proposed approach in daily life, the detection of vehicle objects from high-resolution images can be automated with high success rates.
Physical properties of test signals to enhance telecommunication paths

The properties and characteristics of test signals used in constructing the high definition TV (HDTV) and ultra-high definition TV (UHDTV) become an essential task. The proposal was made for the properties and different parameters of tool signals. These properties were considered very important to estimate. the spatial two-dimensional transfer function of frequency modulation through the light path of test signals. Some work was also performed to measure the resolution of the signal transmission and the end device.
Research on the application of multimedia information technology in modern English situational teaching

In the process of modern English teaching, teachers should not only explain the basic English theory to students, but also expand the teaching contents according to the students'training requirements, provide support for students to acquire richer knowledge content. In developing situational English teaching, we should make full use of the advantages of multimedia information technology in order to help students master all kinds of English knowledge and skills and understand the English application scene effectively, through the reconstruction of English classroom, the ideal effect of English teaching wisdom innovation can be realized. This paper analyzes the background of the application of multimedia information technology in modern English situational teaching, and puts forward some concrete application strategies.
RANDOMIZATION OF CSIDH ALGORITHM ON QUADRATIC AND TWISTED EDWARDS CURVES

The properties of quadratic and twisted supersingular Edwards curves that form pairs of quadratic twist with order over a prime field are considered. A modification of the CSIDH algorithm based on odd degree isogenies of these curves is considered. A simple model for the implementation of the CSIDH algorithm in 3 minimal odd isogeny degrees 3, 5, 7, with the prime field modulus and the order of supersingular curves is constructed. At the precipitation stage, the parameters of isogenic chains of all degrees for these two classes of supersingular Edwards curves are calculated and tabulated. An example of the implementation of the CSIDH algorithm as a non-interactive secret sharing scheme based on the secret and public keys of Alice and Bob is given. A new randomized CSIDH algorithm with a random equiprobable choice of one of the curves of these two classes at each step of the isogeny chain is proposed. The choice of the degree of each isogeny is randomized. The operation of the randomized algorithm by an example is illustrated. This algorithm as a possible alternative to "CSIDH with constant time" is considered. A combination of the two approaches is possible to counter side channel attacks. Estimates of the probability of a successful side-channel attack in a randomized algorithm are given. It is noted that all calculations in the CSIDH algorithm necessary to calculate the shared secret are reduced only to calculating the parameter of the isogenic curve and are performed by field and group operations, in particular, scalar point multiplications and doubling points of the isogeny kernel. In the new algorithm we propose to abandon the calculation of the isogenic function of random point , which significantly speeds up the algorithm.
relation between blowing pressure and blowing frequency in clarinet playing

Different opinions on the relation between blowing pressure and blowing frequency in clarinet playing provide the background for the investigations presented in this paper. By employing mechanical blowing and a newly developed artificial embouchure, test results have been obtained which show that the correlation between blowing pressure and blowing frequency is positive for all notes in the low register of the clarinet (the chalumeau register) when all other parameters are kept constant.
Augmented reality: The emerging technology in medical field

Augmented Reality (AR) has visualized remarkable growth over the past few decades and currently it is ready to be utilized in various electronic devices such as personal computer, laptops, mobile phones, tablets, etc. At present, this recent technology has discovers its association in several different sectors with its intelligent and smart software which can be easily utilized in various sectors such as medical, education and many more. The increasing demand for Augmented Reality devices and applications in healthcare, rising investments in AR market, and growing demand for ARin education sectors due to COVID-19 are the key factors driving the AR market growth.AR is a new step in enhancement of technology where a user can feel virtual objects in real physical world. With the introduction of this technology in education sector teachers can pass on their insight on a particular topic more vitally, effectively and in an alluring way. Students will be able to understand things more preciously and easily if this innovation is acquainted with them. This paper reviews the improvement in the current education and learning system by introducing the concept of AR.
The Information System for Visiting Prisoners in Prisons Class IIA of Bengkulu

Information Systems are important because they produce information and help make decisions so that their intelligence and abilities can be the same as humans. the writer wants to design an Information System in the Correctional Institution which is a coaching institution for prisoners but the system used is still a Manual, especially for visiting Section where this system still has many obstacles, so the writer wants to research and assist officers by making a JAVA application about the information system for visiting prisoner in Prison class IIA of Bengkulu which aims to save time and find out information from guest visits to prisoners so that they consider to data collection. This information system is designed using a JAVA application with MySQL database in XAMPP, the application program used is Net Beans which is a container in making various programs where net beans IDE is also Open Source and this system uses a method that describes what data the existence and explanation of a picture or incident regarding guest visits to prisoners in Prison Class IIA of Bengkulu. The result of this research is an integrated information system with Prison Class IIA of Bengkulu, involving the Admin and Employees to input the data that has been obtained which will be processed by the system and produce a Prisoner Data Report and Guest Data Report.
Structural markers in assessing readiness of non-university level higher education students for successful social interaction

UPNFSK Н. П. Сенченков, Т
Improving Understanding of Human Reproductive System Materials Using Padlet Application: Utilization of Digital Literacy in Science Learning

This article aims to improve understanding of human reproductive system material by using padlet applications. This is a digital literacy application for class IX students at the UNP Laboratory Development Junior High School. Padlet application is an online learning application that is synchronous online. In learning by using the padlet application, students and teachers can be present together in one learning platform. This research is a classroom action research (action research) with quantitative descriptive data processing techniques. The results of this study indicate an increase in student literacy, both data literacy and technological literacy by using padlet applications in science learning, especially material for the human reproductive system. This can be seen from the increase in learning outcomes from the first meeting to the third meeting
KOMBINASI MODEL QUANTUM DAN PROBLEM BASED LEARNING DALAM PEMBELAJARAN MENULIS CERITA FANTASI DI SMP KELAS VII

This research is motivated by the low writing ability of students at various levels of education, especially at the junior high school level. This study aims to describe the stages of planning, implementing, and evaluating learning to write fantasy stories using a combination of Quantum (QL) and Problem Base Learning (PBL) models in Class VII SMP. The research method used is descriptive qualitative. Data collection techniques through observation, interviews, and test assessments. The application of a combination of QL and PBL models is considered effective in learning to write fiction if the student who scores 75 is 75%. The results of this study are: 1) at the planning stage, the preparation of the combination model of QL and PBL has been adapted to class conditions, teacher and student conditions; 2) at the implementation stage, teachers and students have carried out all the learning steps in accordance with the learning design; 3) at the evaluation stage, the average score of students who have passed the KKM (Teaching Completeness Criteria) is 75%, so it can be said that the combination of QL and PBL learning models is effectively used in learning to write fantasy stories.
Mobile Spare-Part Application Pada Bengkel Di Kabupaten Banyuwangi

Abstract – This paper discusses about a service shop at distric of Banyuwangi. The difficulty of service shop such as manajerial, spare-part order, and delivery system was experienced. Not only car repair shop, but also motorbike repair shop. The mobile spare-part application (MSPA) is proposed with the smartphone of integration system. The MSPA is directly connected an internet to track, to delivery, to suggest the near location based on the best service. The result shows that the MSPA can reduce a queing system, spare part ordering time, and the fast delivery. The system is designed to accomplish for any problem of service shops at Banyuwangi.&#x0D; Keyword: Service Shop, Internet, Mobile Spare-Part Application.
Book Review: Zines in Libraries: Selecting, Purchasing, and Processing

Zines in Libraries: Selecting, Purchasing, and Processing offers a useful overview on the challenges that zines bring to typical library workflows. Zinesters (i.e., those who create and publish zines) working in libraries have made resources like zinelibraries.info and zinecat.org available for some time and now that information has been organized nicely into this volume, written by some of the same professionals. The majority of the authors are zinesters themselves and their combined love and knowledge of zine production shines through this volume of practical advice.
Re-Fake: Fake Account Classification in OSN Using RNN

Online Social Network (OSN) is an application for enabling public communication and sharing information. However, the fake account in the OSN can spread false information with an unknown source. It is a challenging task to detect malicious accounts in a large OSN system. The existence of fake accounts or unknown accounts on OSN can be a severe issue in data privacy-preserving. Various communities have proposed many techniques to deal with fake accounts in OSN, including rule-based black-white technique until learning approaches. Therefore, in this study we propose a classification model using the RNN to detect fake accounts accurately and effectively. We conduct this study in several steps, including gathering datasets, pre-processing, extraction, training our models using RNN. Based on the experiment result, our proposed model can produce a higher accuracy than the conventional learning model