Reviewerly/exHarmony huggingface dataset:
Efektivitas Media SLD Electrical Diagrams terhadap Hasil Belajar pada Pembelajaran Instalasi Tenaga Listrik

Learning media is one of the important factors in education, therefore the development of learning media is needed in order to achieve educational goals. This research aims to determine whether the Android-based SLD Electrical Diagrams application is effective in improving student learning outcomes in electrical power installation subjects in class XI TITL at SMK Negeri 5 Padang. This type of research is a pre-experimental design with a one-group pretest-posttest research design. The subjects in this research were students of class XI TITL for the academic year 2022/2023. Data collection was carried out using questionnaires and questions, which were validated first by the validator lecturer at the Department of Electrical Engineering, FT UNP. Furthermore, pretest questions were given to students followed by the application of the SLD Electrical Diagrams application to the subject of electrical power installation at KD 3.2. And ended with students being given posttest questions and practicality questionnaires. The pretest and posttest data were analyzed with classical completeness with the result that 90% of the total students passed the KKM and the effect size results stated that the effect of applying the SLD Electrical Diagrams application was 2.3 which was categorized as large. While the practicality questionnaire was analyzed by practicality test with 86% results which were categorized as very practical. It can be concluded that the application of the SLD Electrical Diagrams application in electrical power installation subjects is effective.
Cash Expenditure Accounting Information System Operational Cost Driver At the Fleet Department of PT Cipta Krida Bahari Banjarmasin

This study is to describe the accounting information system for operating cash disbursements of drivers at the Fleet department of PT Cipta Krida Bahari Banjarmasin. The aim is to find out the procedures in the driver operating cost expenditure system. This study uses qualitative research in the form of a brief history of the company, organizational structure, duties, responsibilities, records, and documents used, as well as the operating cost driver expenditure system procedures at the flee department of PT Cipta Krida Bahari Banjarmasin. The research approach uses a descriptive approach related to the accounting information system for operating cash disbursements of drivers at the fleet department of PT Cipta Krida Bahari Banjarmasin. The results of the study can be concluded that the accounting information system for cash disbursements for operating costs of drivers in the fleet department of PT Cipta Krida Bahari Banjarmasin has related functions, namely the commercial sales function, operation function, driver function, fleet admin function, fleet leader function, manager function, and finance function. The procedure for disbursing cash for driver operational costs is the procedure for ordering goods by the customer, the procedure for submitting money for travel, procedures for disbursing/transferring money for travel, and the procedure for recording money for travel. Documents used in the cash disbursement system for a driver’s operating costs are travel documents, PUO, DA, manifest, SIJK, BBM notes, manifest, and TCA. The records used are the FAST system, Cash Advance application, TCA website, MCM system, Middleware system, Ramco system, and enterprise system
Imitation and replication: essential disagreements in the subject content and features of the formation of the cultural process.

The purpose of the article is to conceptualize the phenomena of imitation and replication and to identify the distinctive features of these processes using examples of cultural practices. The influence of these processes on the cultural progress of mankind is comprehended and the results of such manifestations are analyzed. The research methodology is based on an integrated approach and relies on analytical (when analyzing philosophy, art history, cultural literature on the subject of research) and comparative (when elucidating the distinctive features of imitation and replication and the cause-and-effect relationships of these processes in the course of the cultural development of mankind. research methods. The scientific novelty of the article lies in the fact that for the first time disagreements in the subject content of the concepts of imitation and replication are clarified and the difference in the features of these processes is analyzed. Conclusions. It was revealed that, despite the etymological relationship between the concepts of imitation and replication , in practice, these two phenomena mean different things. Imitation often involves the deliberate copying of the external features of an object, phenomenon, or movement to reproduce an introduction to deception or to bring the features of this object or phenomenon closer to the reproduced original. On the other hand, replication is not always deliberate and conscious, its results are caused by a complex association of ideas and testify tothe manifestations of a long process of aestheticization. It has been proven that it is precisely in the long “nozzle” (repetition) of certain customs of technological means and tools that the reason they, initially strange and unacceptable, become pleasant, expected, and necessary. Deliberate imitation or subconscious replication of the necessary form of another object or animal movements to achieve their goals are ways to implement the artistic process, as a result of which new work is created.Key words: imitation, replication, mimesis, aestheticization, cultural process.
Russian neural morphological tagging: do not merge tagsets

There are multiple morphologically annotated corpora of Russian available. They have different tagsets and annotation guidelines, which makes them difficult to use together. We proposed a neural morphological tagger for Russian based on multitask learning technique which is able to predict morphological tags of words for different tagsets. We evaluated our model on various corpora and showed that utilising multiple corpora without merging them not only improves tagging performance but allows for scalable indirect conversion between multiple tagsets in all directions. Furthermore, we also showed that treating each corpus separately is more efficient than merging the corpora even if they share the same tagset.
A Framework for Formal Transformation and Analysis of Smart Contract Code

The smart contract technology has drawn extensive attention in recent years. However, attributing to the immutability of blockchain, a smart contract cannot be altered once deployed on chain. Even a simple flaw in a smart contract can cause huge economic loss. Formal method can provide a reliable guarantee for the security of smart contracts. In this paper, we present a framework for formal transformation and analysis of smart contract code, aiming to facilitate the task of analyzing security issues of smart contracts. In addition, the transformation efficiency is tested and evaluated with different scales of code, which proves the practicality and effectiveness of the transformation framework.
A novel analysis and applications of an introduced hyperchaotic system

ÖzIn this study, the new analysis of the introduced hyperchaotic equation set was handled.The equation set was firstly analyzed mathematically and then the results were proven by designing a more efficient circuit with active elements.The aim of the study is offering an effective secure communication application and random number generator application.Hence, based on the new analysis of equation set, secure communication system and random number generation application were proposed.Accordingly, creating a Pseudorandom Number Generator is the halfway house in this study.The signals received from the chaotic oscillator were sampled at low frequency and with a simple post-processing, a bit stream was created.The resulting bit stream passed the NIST test successfully.The other halfway of the study is creating a secure communication system by the synchronization of two chaotic oscillators that are in transmitter and receiver.An identical noise-like signals are generated in both transmitter and receiver parts.At the transmitter part adding a noise-like chaotic signal to the information is done.At the receiver, this same noise-like signal is subtracted from the perceived signal.Thus, the information can be transmitted securely.Spice simulations of both proposed applications have been made and it has been shown that they are compatible with mathematical analysis.The proposed circuits are suitable for realization with commercially available circuit elements.Bu çalışmada, tanıtılmış bir hiperkaotik denklem setinin yeni bir analizi ele alınmıştır.Denklem seti önce matematiksel olarak analiz edilmiş, ardından aktif elemanlarla daha verimli bir devre tasarlanarak sonuçlar kanıtlanmıştır.Çalışmanın amacı, etkili bir güvenli iletişim uygulaması ve rastgele sayı üreteci uygulaması sunmaktır.Bu nedenle
Density Estimation in High-Dimensional Spaces: A Multivariate Histogram Approach

Density estimation is an important tool for data analysis. Non-parametric approaches have a reputation for offering state-of-the-art density estimates limited to few dimensions. Despite providing less accurate density estimates, histogram-based approaches remain the only alternative for datasets in high-dimensional spaces. In this paper, we present a multivariate histogram approach to estimate the density of a dataset without restrictions on the number of dimensions, containing both numerical and categorical variables (without numerical encoding) and allowing missing data (without the need to preprocess them). Results from the empirical evaluation show that it is possible to estimate the density of datasets without restrictions on dimensionality, and the method is robust to missing values and categorical variables.
Mnemonic Device Technique Increase Students’ Vocabulary Mastery

This research was conducted to find out the contribution of Mnemonic Device Technique to increase students’ vocabulary mastery. Descriptive qualitative was used as research method in this research. The source of data was junior high school students at SMP Swasta Yapim Buiru-Biru. The data of this research were students’ score in vocabulary mastery. The result of this research was Mnemonic Device Technique has specific contribution to increase students’ vocabulary mastery. Based on five kinds of Mnemonic Device Technique, they are: 1) Rhyme-Keys, 2) acronym, 3) Peg word system, 4) Loci Method, and 5) Keyword Method, the kind that actually increase students’ vocabulary mastery was Keyword Method. It happened because students were easy to remember something that near from their daily language or something iconic in their language.
Bias Cancellation of MixColumns

At COSADE’2020, Carré et al. established a novel bias-cancelling property of the AES MixColumns matrix that effectively corrects any skewed output distribution of a state byte due to a faulty substitution box. Consequently, any effected byte is rendered uniform upon passing through the MixColumns layer. In this work in progress paper, we revisit and generalize this result and in the process identify a large class of matrices that exhibit this bias cancellation phenomenon and conclude with a foray into how this property is advantageous in the design of countermeasures against Persistent Fault Injections.
VIRTUAL REALITY FOR IMAGE INTERPRETATION

This paper presents the concept and technical details for a "Virtual reality Image Exploitation Workspace" (VIEW) for use in e.g.aerial image interpretation.Virtual Reality (VR) and serious gaming can increase the learning motivation and outcome in image interpretation.We use our VIEW concept for a VR game-like assistance system to evaluate the learning-supporting immersion or presence level of image interpreters while solving typical interpretation tasks in VR.The problem statement centers on the realization aspects of a VR assistance system for image interpretation providing a high level of immersion.This work combines the setting of a real serious game for formal image interpretation training with virtual reality to increase the immersion level.We also examined the special requirements for image quality and formal workflows that arise from professional image interpretation.The presented VIEW concept deals with multiple aspects in respect to e-learning, professional training and virtual reality for image interpretation.Preliminary evaluation results from a realized prototype show the feasibility and user acceptance of the VIEW concept.
Autonomous Mobile Robot Equipped with a Measurement Wheel on Rough Terrain

This paper describes the development of an autonomous mobile robot with passive measuring wheels to provide public services in urban areas. The robot has two differential wheels and a passive wheel placed at the center of the differential wheels. The robot can estimate its correct self-position if the contact surface of the measuring wheel does not slip even if the two differential wheels slip. The slippage is detected by measuring the angular velocity of the measuring wheel, which can be used for route planning in the future work.
ICU Mortality Prediction Using Long Short-Term Memory Networks

Extensive bedside monitoring in Intensive Care Units (ICUs) has resulted in complex temporal data regarding patient physiology, which presents an upscale context for clinical data analysis. In the other hand, identifying the time-series patterns within these data may provide a high aptitude to predict clinical events. Hence, we investigate, during this work, the implementation of an automatic data-driven system, which analyzes large amounts of multivariate temporal data derived from Electronic Health Records (EHRs), and extracts high-level information so as to predict in-hospital mortality and Length of Stay (LOS) early. Practically, we investigate the applicability of LSTM network by reducing the time-frame to 6-hour so as to enhance clinical tasks. The experimental results highlight the efficiency of LSTM model with rigorous multivariate time-series measurements for building real-world prediction engines.
E-Worksheet Text of Culinary Procedures to Achieve Writing Elements Competence Based on Prototype Curriculum

The prototype curriculum is a curriculum that is derived from the improvement of the 2013 Curriculum. The prototype curriculum has learning outcomes that must be obtained by students in learning activities. These learning outcomes are classified in each subject. The division of classes based on the prototype curriculum into several phases, namely phase A for the elementary school level 1st and 2nd grade student, phase B for the elementary school level 3rd and 4th grade student, phase C for the elementary level of class th 5th and 6th grade student, phase D for the junior high school level, phase E for level 10th grade student of the high school, and phase F for 11th and 12th grade student of high school. The Indonesian learning in the prototype curriculum is in phase D for the junior high school level in which there are several elements, namely; listening, reading and listening, speaking and presenting, and writing. This study aims to describe the validity of e-worksheet teaching materials texts of Surabaya culinary procedures in terms of the feasibility of the material content and the feasibility of the media. To find out this, the teaching materials for the Surabaya e-worksheet text procedure are validated to material expert lecturers and media experts to find out the quality of the e-worksheet text of the Surabaya culinary procedure in terms of the feasibility of the content of the material and media. In this study, researchers use research and development methods. This study used the ADDIE development model. Data is collected by questionnaire techniques. Based on the results of the discussion, it can be concluded that the feasibility of e-worksheet text of Surabaya culinary procedures in terms of material gets an average percentage of 70% of the percentage interpreted in the decent category. furthermore, the feasibility of e-worksheet text of Surabaya culinary procedures in terms of media gets an average percentage of 91.25% or can be said to be very feasible.
Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction

Traditional methods for solving problems within computer science rely mostly upon the application of handcrafted algorithms. As however manual engineering of them can be considered to be a tedious process, it is interesting to consider how far internal mechanisms can be directly learned in an end-to-end manner instead. This is especially tempting to consider for metaheuristic and evolutionary optimization routines which inherently rely upon creating abundant amounts of data during run-time. To implement such an approach for these types of algorithms, it effectively requires a pipeline to first acquire deran-domized algorithm components in a domain-dependent manner and secondly a mapping to select them based upon characteristic features which unveil the black box character of an optimization problem. While in principle, within our prior work we proposed methods for extracting spatial features from metadata, these unfortunately fail to acknowledge the time-dependent nature of it. Thus, fail in scenarios when the inputs generated from initial iterations are not expressive enough. For this reason we specifically develop within this work architectures for spatio-temporal data processing. Particularly, we find that our proposed GCN-GRU and LSTM architectures, which take inspiration from CNN-LSTMs originally proposed for activity recognition in multimedia data-streams, demonstrate high efficiency and most consistent performance on time series of variable length. Further, we can also demonstrate that the class activation map (CAM) for interpretable learning with time series data helps to understand and reflects problem-dependent properties of the search behavior of an optimization algorithm.
Ensemble of Classification and Matching Models with Alpha-Refine for UAV Tracking

Traditional single object tracking has has been well investigated in recent years. There are many excellent trackers including the offline tracker and the online updating tracker. However, few efforts were spent on drone-based object tracking because of its complexity. In this paper, a novelty ensemble of classification and matching model with alpha-refine (ECMMAR) method is proposed for drone-based object tracking. ECMMAR integrates two different types of trackers by a elaborate discriminator. This discriminator can combine the tracking results of the two trackers to judge the tracking credibility of the trackers and then choose a more reliable results.Experimental results on Visdrone-SOT 2020 benchmark for drone-based visual tracking demonstrate that our proposed method achieving a satisfactory tracking performance.
Peran Kampus Mengajar Dalam Meningktakan Literasi Dan Numberasi Di SD N 34 Kota Bengkulu

Campus Teaching Activity 3 is a service activity in the world of education. Campus teaching activity 3 in 2022 focuses on literacy and numberation, one of which is carried out at SDN 34 Bengkulu City. The aim is to improve students' understanding in understanding literacy and numberation. The results obtained are that the students of SDN 34 Bengkulu City still lack understanding of students in participating in literacy and numbration learning activities. This proves that there are still students who cannot read and count. This is because there are several influencing factors such as the lack of teacher innovation in increasing student interest in learning, students are polluted with online games, facilities and infrastructure supporting learning are still lacking. In this case, what we do to improve understanding of literacy and numberation is to innovate learning so that students are interested in participating in the learning process carried out by the teacher, and provide homework (PR) to each student so that the lessons learned in class can be reviewed.
Multiview Object and View Sequence Recognition using Hidden Markov Models

This work presents a method for multiview object recognition and the estimation of the sequence of object views. The main feature of the method is to be lightweighted, which can be crucial for future sensor technology. This goal is achieved with a hidden Markov model of the 3D object from information of a sequence of 2D images. COIL 100 dataset were used for testing the method. The tests included images affected by rotation as well as Gaussian noise. Consistent results were obtained using relatively few shots of each class for the training process.
Efektivitas Penggunaan E-book Fisika Terintegrasi Materi Mitigasi Bencana Petir Berbasis Discovery Learning

The problem discussed in this research is how the learning outcomes of students are not optimal in terms of attitudes, knowledge and skills. The purpose of the study was to determine the extent to which the effectiveness of the integrated Physics e-book on lightning disaster material based on discovery learning model could improve student learning outcomes. The type of research used is Research and development (R&amp;D). The model used as a method in this research is the Plomp development model with three stages of development, namely, preliminary research, development or prototyping and assessment. The discussion is limited to the assessment stage to see the level of effectiveness of the resulting product. Product effectiveness instruments are in the form of student self-assessment questionnaires for attitude competencies, multiple choice for knowledge competencies, on performance assessments for skills competencies. Attitude and skill competency data obtained were analyzed using graph analysis and knowledge competency data was analyzed using N-gain. Research conducted at SMAN 16 Padang in the 2020/2021 academic year on direct current electricity. The results showed that the integrated Physics e-book on lightning disaster material based on discovery learning model was effective in improving student learning outcomes with an average result of 86% attitude competence in the very effective category, the N-gain value of knowledge competence 0.5 with the effective category and the result the average skill competency is 89.72% at very effective.
Teaching Strategies in EFL Hybrid Classroom : A Case Study in a Junior High School

This study aimed to find out which teaching strategies found in the EFL learning during this pandemic situation, where hybrid classrooms has begun to flourish as one of the strategies in learning process. This case study research with qualitative approach was conducted at one private Junior High School in academic year 2021/2022 where the subjects were 3 English teachers of grade 7-9. In this study, the data was compiled by doing direct observation as well as interview session with the participants. The data were analyzed by using the Miles and Hubberman flow model was used to analyzed the data. The findings showed that the EFL teaching strategies during this Hybrid class were mostly conducted using discussion, co-operative learning, small group discussion and some direct instructions. Even though no totally fully used, the teachers emphasize the use of English as a daily conversation in the school environment, including language learning in the classroom, both in online and offline sessions.