Reviewerly/exHarmony huggingface dataset:
Analisis Persentase Jenjang Kognitif Dan Kualitas Butir Soal Ujian Sekolah Mata Pelajaran Ilmu Pengetahuan Alam Kelas VI SDN Pendopo Kabupaten Empat Lawang Tahun Pelajaran 2020/2021

This study aims to describe the cognitive appearance and quality of empirical questions about school exams. This type of research is descriptive quantitative research. The subject of this research is a matter of school exams for science subjects. The object of research is the description and quality of the items empirically. The research instrument was in the form of an analysis of the percentage level of knowledge and quality of items empirically. The research data were analyzed using proportions calculated by percentage and rater agreement as well as student scores tested for validity, reliability, level of difficulty, and discriminatory power. The results showed that: 1) The percentage of questions at Level 1 was 52.50%. At Level 2, 22.50% is less than the ideal standard of BSNP. At Level 3 of 25%, and 2) The quality of the items empirically, the results of the validity of 22 questions are valid and 18 questions are not valid, the results of the reliability test are 0.629, the difficulty level test is 5 easy questions (12.5%), 27 questions moderate (67.5%) and 8 difficult questions (20%,) the results of the discriminatory test were 25 bad questions (62.5%) and 15 questions were sufficient (37.5%). Thus, the quality of the science test items for grade VI students of SDN Pendopo, Empat Lawang Regency 2020/2021 is not good, judging from the comparison of the level of knowledge and quality empirically.
Acehnese Traditional Clothing Recognition Prototype System Design Based On Augmented Reality

Acehnese traditional clothing is one of the cultural heritages in Indonesia. In today's modern era, the problem faced is the lack of media to introduce cultural heritage in Aceh. Therefore, a media was formed that could introduce Aceh's traditional clothing, namely Southeast Aceh. The press utilizes Augmented Reality (AR) technology so that users can add virtual objects to the natural environment that are easy to use. In this study, a system design using Unified Modeling Language (UML) diagrams has been carried out, including use case diagrams, activity diagrams, and sequence diagrams. This system is built using the C++ language using the Unity application and the vuforiaSDK platform. Then the test results were obtained on the Southeast Aceh traditional clothing recognition application. Namely, the minimum distance that can display 3d objects is a distance of 5 cm, and the maximum distance that can be detected is 80 cm. Based on the test results in the distance test table, the best distance obtained, which results in the detection of markers that are still clear and bright, is at a distance between 5 cm to 70 cm. Meanwhile, at a distance of more than 80 cm, the marker cannot detect markers to display 3D objects because the distance between the camera and the marker is too far. Likewise, with the angular slope, the minimum angle of inclination detected is an angle of 0°, while the maximum angle of inclination detected is an angle of 75°. Based on the test results on the angle slope table, the best angle is obtained, which results in detecting markers that are still clear and bright at a distance between 0-60°. After that, testing is also carried out based on the lighting, where if the light is too bright or too dark, the camera cannot detect the marker.
Portable and Non-Intrusive Fill-State Detection for Liquid-Freight Containers Based on Vibration Signals

Remote, automated querying of fill-states of liquid-freight containers can significantly boost the operational efficiency of rail- and storage-yards. Most existing methods for fill-state detection are intrusive, or require sophisticated instrumentation and specific testing conditions, making them unsuitable here, due to the noisy and changeable surroundings and restricted access to the interior. We present a non-intrusive system that exploits the influence of the fill-state on the container's response to an external excitation. Using a solenoid and accelerometer mounted on the exterior wall of the container, to generate pulsed excitation and to measure the container response, the fill-state can be detected. The decision can be either a binary (empty/non-empty) label or a (quantised) prediction of the liquid level. We also investigate the choice of the signal features for the detection/classification, and the placement of the sensor and actuator. Experiments conducted in real settings validate the algorithms and the prototypes. Results show that the placement of the sensor and actuator along the base of the container is the best in terms of detection accuracy. In terms of signal features, linear predictive cepstral coefficients possess sufficient discriminative information. The prediction accuracy is 100% for binary classification and exceeds 80% for quantised level prediction.
Change Management Maturity Model

Since computer systems exist, a lot of implementation projects fails. The Implementation of computer systems causes changes in processes of work and behavior of people. Change Management is one of the most important success factors, when implementing software systems in organizations. Because it is the key to successfully transform business processes. The ability to change varies between the different organizations. This ability depends on different critical success factors. To evaluate the ability to change of an organization, a maturity model is introduced. Therefore, the critical success factors of change are presented. With this critical success factors as key process areas, the development of the change management maturity model starts. In a five stage maturity model, the shape of each key process area is defined. The model is evaluated by experts for maturity models and experts for change management. The result is a maturity model to assess the ability to change of an organization.
Reconstruction algorithm of haze image based on blind separation model of polarized orthogonal airlight

Polarization-based dehazing methods can enhance the quality of haze images. However, existing methods tend to a manual selection of sky area and bias coefficient to estimate the degree of polarization (DoP) of the airlight, which leads to inaccurate estimation of the airlight. Aiming at the problem, a reconstruction algorithm based on the blind separation model of polarized orthogonal airlight is proposed. Importantly, the depth-dependent DoP of the airlight is automatically estimated without manual selection of sky area and bias coefficient. To reduce the interference of white objects on the estimation of airlight at infinity, an adaptive estimation method using the deviation between the DoP of the airlight and incident light is proposed. In order to accurate estimate the airlight from the airlight at infinity, a blind separation model of the airlight with multi-regularization constraints is established based on the decomposition of the airlight at infinity into a pair of polarized components with orthogonal angles. The experimental results show that the method effectively improves the visibility of scenes under different haze concentrations, especially in dense or heavy haze weather.
A Study of the Value-Semantic Foundations of the Pedagogical Activity of a Modern Teacher (Gender Aspect)

The article notes that there is a problem of gender imbalance in the professional sphere everywhere, including in teacher training. At the same time, it is indicated that there are different indicators of the effectiveness of female teachers and male teachers. In addition, there are different ideas about the expectations of the profession for men and women. Based on this, the purpose of the article is to determine the value-semantic foundations of the pedagogical activity of a modern teacher (men and women). For this purpose, a questionnaire was used to identify the most important value orientations associated with the target objects - the child, the educational environment and the teaching profession. It is established that there are differences in the value-semantic bases of activity: female teachers are more focused on interaction with colleagues, parents and other specialists; they strive to apply various methods in the learning process, while male teachers are more interested in organizing the learning process and managing it.
Petrography and geochemistry of igneous rocks and study of mineralization effects in Chah-Mikh mineral index, southwest of Birjand-South Khorasan

Petrography and geochemistry of igneous rocks and study of mineralization effects in Chah-Mikh mineral index, southwest of Birjand-South Khorasan
Large-scale Text-to-Image Generation Models for Visual Artists' Creative Works

Large-scale Text-to-image Generation Models (LTGMs) (e.g., DALL-E), self-supervised deep learning models trained on a huge dataset, have demonstrated the capacity for generating high-quality open-domain images from multi-modal input. Although they can even produce anthropomorphized versions of objects and animals, combine irrelevant concepts in reasonable ways, and give variation to any user-provided images, we witnessed such rapid technological advancement left many visual artists disoriented in leveraging LTGMs more actively in their creative works. Our goal in this work is to understand how visual artists would adopt LTGMs to support their creative works. To this end, we conducted an interview study as well as a systematic literature review of 72 system/application papers for a thorough examination. A total of 28 visual artists covering 35 distinct visual art domains acknowledged LTGMs' versatile roles with high usability to support creative works in automating the creation process (i.e., automation), expanding their ideas (i.e., exploration), and facilitating or arbitrating in communication (i.e., mediation). We conclude by providing four design guidelines that future researchers can refer to in making intelligent user interfaces using LTGMs.
Automated quantum error mitigation based on probabilistic error reduction

Current quantum computers suffer from a level of noise that prohibits extracting useful results directly from longer computations. The figure of merit in many near-term quantum algorithms is an expectation value measured at the end of the computation, which experiences a bias in the presence of hardware noise. A systematic way to remove such bias is probabilistic error cancellation (PEC). PEC requires a full characterization of the noise and introduces a sampling overhead that increases exponentially with circuit depth, prohibiting high-depth circuits at realistic noise levels. Probabilistic error reduction (PER) is a related quantum error mitigation method that systematically reduces the sampling overhead at the cost of reintroducing bias. In combination with zero-noise extrapolation, PER can yield expectation values with an accuracy comparable to PEC.Noise reduction through PER is broadly applicable to near-term algorithms, and the automated implementation of PER is thus desirable for facilitating its widespread use. To this end, we present an automated quantum error mitigation software framework that includes noise tomography and application of PER to user-specified circuits. We provide a multi-platform Python package that implements a recently developed Pauli noise tomography (PNT) technique for learning a sparse Pauli noise model and exploits a Pauli noise scaling method to carry out PER.We also provide software tools that leverage a previously developed toolchain, employing PyGSTi for gate set tomography and providing a functionality to use the software Mitiq for PER and zero-noise extrapolation to obtain error-mitigated expectation values on a user-defined circuit.
Sample Identifying Complexity of Encrypted Control Systems Under Least Squares Identification

A sample identifying complexity has been introduced in the previous study to capture an adversary's estimation error of system identification. The complexity plays a crucial role in defining the security of encrypted control systems and designing a controller and security parameter for the systems. This study proposes a novel sample identifying complexity of encrypted control systems under an adversary who identifies system parameters using a least squares method. The proposed complexity is characterized by a controllability Gramian and ratio of identification input variance to the noise variance. We examine the tightness of the proposed complexity and its changes associated with the Gramian and variance ratio through numerical simulations. The simulation results demonstrate that the proposed complexity captures a behavior of estimation error with a sufficient level. Moreover, it confirmed that the effect of controllability Gramian in the proposed complexity becomes larger as the variance ratio increases.
Project Activity in Primary School: Cooperation and Co-creation in the System "Parent - Child - Teacher"

The article reveals the essence of the concept of "project activity", provides methodological techniques to make it accessible and attractive to participants in the educational process. The idea is substantiated that only through assistance in cooperation and co-creation in the “parent-child-teacher” system, it is possible to achieve effective results and develop the cognitive activity of younger students using the project method. The roles of adults (parent, teacher) in the implementation of student projects in elementary school are fixed while maintaining the subjectivity of the child.
The Formation of the Educational Action of Comparison in the Lessons of Literary Reading in the Third and Fourth Grades

The article presents a practice-oriented methodological material on the formation of a universal cognitive learning action of comparison by means of literary reading in junior schoolchildren of the third and fourth grades. Three blocks of tasks aimed at developing students' skills to compare literary texts are described. The author pays special attention to the characteristics of creative tasks that contribute to the formation of positive motivation in younger students to master the content of the subject "Literary reading".
Object-Oriented Programming in Python

Object-oriented programming (OOP) is a paradigm that involves problem solving using classes and the objects they generate. In OOP, the data and the associated methods are bundled into reusable objects, thereby making the software scalable and easy to maintain. An application that uses object-oriented technology includes a collection of objects that interact with each other through their exposed interfaces. There are four basic principles of any OOP, i.e., encapsulation, inheritance, polymorphism, and abstraction. Python supports all the four pillars.
Virtual Reality Application Development with Python

Admittedly, Python may not be the most popular or obvious programming language choice when it comes to Virtual Reality application and content development. This is partially due to the computationally-heavy nature of the task, calling for low level access to the inner workings of the hardware through languages like C++. However, for certain types of VR applications and in the right context, using Python scripting is both a viable and user-friendly option and an excellent introduction to the world of VR development. Currently, a number of platforms either support or exclusively use Python for this purpose. In the context of this chapter, one of these platforms (i.e., Vizard) is utilized in order to introduce how Python can be used in the context of VR. This chapter firstly introduces some essential concepts of Virtual Reality content and application development and the related tools, platforms and technologies. Next, the focus shifts specifically on the use of Python scripting in the context of VR development and prototyping. The various sections move from very basic, essential aspects of VR development to some of the more challenging ones from a conceptual viewpoint, always through the lens of using Python as a development tool. Ultimately, this chapter aims to introduce some basic concepts of VR development using the accessible, user-friendly programming environment of Python.
Maneuvering target tracking in multi-radar cooperative detection data fusion

Multi-radar cooperative detection has significant advantages in maneuvering target tracking because of its wide coverage, good detection performance and strong survivability. As a key technology in cooperative detection of networking, multisource data fusion requires high precision and stability of fusion tracking. In this paper, Centralized Kalman Filter method is used to build a mathematical model by expanding dimension and direction finding quantity, and a new method is proposed to solve the fusion tracking problem of multi-radar in cooperative detection of maneuvering target by extending the estimation of nonlinear system for single sensor to the data fusion estimation of multi-sensor nonlinear system.
Cultural relics digital collection platform based on RFID and Flutter

This paper introduces a Cultural Relics Digital Collection Platform based on RFID and Flutter, a trial of combing IoT with the digital protection of cultural relics, which supports Android, iOS, and Web with one codebase, allowing visitors or researchers to locate one cultural relic by scanning QR code or reading RFID tag. This platform also supports reading RFID tags via Web NFC API. The visitors can view basic information, images, or 3D models of the cultural relic, and the researchers have a convenient method to store, manage and query the cultural relic related data. Museums or institutes can easily provide data sharing and open access with this platform. This platform is also people-oriented, offering a comprehensive accessibility design for specific groups while having a consistent and good user experience across devices with different screen sizes.
Simulation of sudden three-phase short circuit of synchronous generator

The sudden three-phase short circuit of synchronous generator is the most serious fault in power system, which may have a serious impact on the motor itself and related electrical equipment. It is of great significance to study. Under the D-P coordinate system, the mathematical model and dynamic equivalent circuit of synchronous generator are constructed. By using the powerful functions of Matlab/Simulink, a simulation model of a sudden three-phase short circuit at the generator end of the synchronous generator is constructed, and the physical quantities of the synchronous generator are simulated and studied during the short circuit. Through the comparative analysis of theory and simulation, the physical quantities of the synchronous generator have great impact and oscillation during the transient process of sudden short circuit, and finally stabilized in the state before the short circuit. The simulation results are consistent with the theoretical analysis. This method can also be used to study some dynamic processes of synchronous generators, which can provide the necessary theoretical basis for the optimal design of the motor.
Discussion on motion stability system of humanoid robot from the perspective of motion stability of Chinese Taijiquan

Taijiquan is an important Chinese Kung Fu in the study of movement balance. This paper discusses the system solution of motion stability of humanoid robot from the perspective of motion stability of Taijiquan itself. This paper starts with the systematic practice theory of Chinese Taijiquan in human dynamic balance. Combined with the correlation between humanoid robot structure and human body structure. The spiral balance and wire winding force system are used to deal with the problems of self stability and motion or load stability of humanoid robot, and then the system design scheme to realize the motion stability of humanoid robot is proposed. The author hopes to provide a novel research perspective for the current humanoid robot dynamic balance from the perspective of inheriting the human body dynamic balance theory for hundreds of years.
Overfull: Too Large Aggregate Signatures Based on Lattices

Abstract The Fiat-Shamir with Aborts paradigm of Lyubashevsky has given rise to efficient lattice-based signature schemes. One popular implementation is Dilithium, which has been selected for standardization by the US National Institute of Standards and Technology (NIST). Informally, it can be seen as a lattice analog of the well-known discrete-logarithm-based Schnorr signature. An interesting research question is whether it is possible to combine several unrelated signatures, issued from different signing parties on different messages, into one single aggregated signature. Of course, its size should be significantly smaller than the trivial concatenation of all signatures. Ideally, the aggregation can be done offline by a third party, called public aggregation. Previous works have shown that it is possible to half-aggregate Schnorr signatures, but it was left open if the underlying techniques can be adapted to the lattice setting. In this work, we show that, indeed, we can use similar strategies to obtain a signature scheme allowing for public aggregation whose hardness is proven assuming the intractability of well-studied problems on module lattices. Unfortunately, our scheme produces aggregated signatures that are larger than the trivial solution of concatenating. This is due to peculiarities that seem inherent to lattice-based cryptography. Its motivation is thus mainly pedagogical.
Application and effectiveness of Problem-based learning(PBL): Focus on experience of students who participated in school social welfare class

Objectives The purpose of this study is to apply Problem-based learning (PBL) to a school social welfare class and explore its effectiveness and experience of learners’ participation. Methods To do this, PBL method was applied to 14 students who were enrolled in the school social welfare course in the second semester for about 8 weeks from October to December in 2019. The pre-post test was conducted on problem-solving ability, communication ability, and self-directed learning ability for 11 students who agreed to participated in the study and Wilcoxon signed-rank test was used to analyse the data. In addition, a group interview was conducted at one time on seven of the 11 students who agreed to participate in a group interview and the analysis was conducted using topic analysis method. Results As a result of pre-post test, PBL improved learners' problem-solving ability. As a result of the thematic of group interviews, four key themes were found: “thinking about problem solving without answers,” “being a self-directed learner,” “working together to find a solution,” and “getting to understand the role of professors in promoting the learning process. Conclusions Based on these results, implications for effective PBL in social welfare classes were suggested.