Reviewerly/exHarmony huggingface dataset:
Smart Cloud Education—The First Online International Chinese Education Promotion Project in Africa

In the context of the normalization of the epidemic, it is of great practical significance to innovate the promotion of Chinese language and culture based on the policy of helping to build a "community with a shared future for mankind" and promoting the construction of the "Belt and Road" initiative.Therefore, based on the accumulation of previous practice, relying on the brand advantages of Confucius Institute and Zhejiang Wisdom Cloud online support teaching platform, this study forms an innovative mode of remote online Chinese teaching, breaks the time and space constraints, and realizes the real implementation of "Internet + education".At present, Zhejiang Smart Cloud Public Service Center has been registered and established.It cooperates with 14 organizations such as Tencent Charity to form a high-quality teaching resource base, provide a professional and standardized Chinese learning platform for more than 5000 international students, and drive more than 1200 normal university students to participate in volunteer service.It is committed to realizing professional online Chinese teaching and promoting the international promotion of Chinese culture.
PELATIHAN LITERATURE REVIEW UNTUK MEMPERKAYA ILMU DALAM BIDANG SISTEM INFORMASI LOGISTIK RUMAH SAKIT

Literature review sebagai studi awal untuk mendalami pelaksanaan penelitian yang akan menghasilkan state of the art yang lebih komprehensif. Penggunaan literature review dapat melakukan analisis relevansi hasil penelitian yang dilakukan dengan penelitian sebelumnya. Sumber literature review bisa dicari melalui berbagai online database. Melalui pelatihan ini pengabdi mempraktekkan 3 cara penggunaan online database yaitu Google Scholar, SpringerLink, dan PubMed. Pencarian artikel difokuskan pada topik sistem informasi logistik rumah sakit, sebagai suatu bentuk penciri dari Prodi S1 Administrasi Rumah Sakit STIKES Dharma Landbouw Padang. Pelatihan dilakukan melalui aplikasi zoom meeting, dilaksanakan pada tanggal 31 Mei-2 Juni 2021, dengan jumlah peserta yaitu 120 orang. Pelatihan terlaksana dengan baik, dibuktikan dengan tanya jawab dan beberapa peserta yang bersedia menjadi volunteer saat melakukan parktek pencarian di online database.&#x0D; Kata kunci: literature review, online database, sistem informasi, logistik, administrasi rumah sakit&#x0D; ABSTRACT&#x0D; Literature review as an initial study to explore the implementation of research that will produce a more comprehensive state of the art. The use of literature studies can analyze the relevance of the results of research conducted with previous research. Sources of literature review can be searched through various online databases. Through this training, the congregation practiced 3 ways of using online databases, namely Google Scholar, SpringerLink, and PubMed. The article search focused on the topic of hospital logistics information systems, as a form of characterization of the STIKES Dharma Landbouw Hospital Administration Study Program, Padang. The training was carried out through the zoom meeting application which was held on 31 May – 2 June 2021 with 120 participants. The training was carried out well, as evidenced by questions and answers and several participants who were willing to volunteer when conducting searches in online databases.&#x0D; Keywords: literature review, online database, information systems, logistics, hospital administration
Description of Command and Control Networks in Coq

A command and control (C2) system can be defined as a group of individuals organised hierarchically in which higher-ranking individuals can issuedirections to their subordinates with a certain goal in mind. We present a model for representation of command and control networks in the Coq proof assistant based on a tree data structure. Our model utilises Coq’s implementation of data structures and includes examples of how to define functions and properties that may be relevant in a C2 system, as well as examples of some of the tests we have performed to verify the correctness and usability of our model. The examples given here are simple, but constitute basic blocks that can later be used in more realistic formalisations.
Big book to increase 5th grade students’ reading literacy

This study aims to determine the effect of using big book media on students' reading literacy in class. This research used a quantitative approach. The research design was a pre-experimental one-group pretest-posttest design. Data collection techniques using tests and observations. The data analysis techniques were validity, reliability, normality, homogeneity, t-test, and N-gain tests. The subjects of this study were 50 students of grade V consisting of 35 females and 15 males. The results show that there is a significant effect of big book media on the reading literacy of grade V students in elementary schools. The results of the Statistical analysis of the t-count test is 6.349 t-table 2,0. It can be concluded that big book media, is effective on students reading literacy.
Translation Ability-oriented MT-PE Course Design

With the wide popularization of neural machine translation in the translation industry, the machine translation +post editing (MT-PE) has become one of the main tasks of translation talent training.Based on the development of post-translational editing at home and abroad, this paper focuses on the training of post-editing ability in the translation teaching, exploring a complete set of MT-PE curriculum teaching module system as the reference for translation technology education.
A relation among tangle, 3-tangle, and von Neumann entropy of entanglement for three qubits

In this paper, we derive a general formula of the tangle for pure states of three qubits and present three explicit local unitary (LU) polynomial invariants. Our result goes beyond the classical work of tangle, 3-tangle, and von Neumann entropy of entanglement for Acín et al.’ Schmidt decomposition (ASD) of three qubits by connecting the tangle, 3-tangle, and von Neumann entropy for ASD with Acín et al.’s LU invariants. In particular, our result reveals a general relation among tangle, 3-tangle, and von Neumann entropy, together with a relation among their averages. The relations can help us find the entangled states satisfying distinct requirements for tangle, 3-tangle, and von Neumann entropy. Moreover, we obtain all the states of three qubits of which tangles, concurrence, 3-tangle, and von Neumann entropy do not vanish and these states are endurable when one of three qubits is traced out. We indicate that for the three-qubit W state, its average von Neumann entropy is maximal only within the W SLOCC class, and that under ASD the three-qubit GHZ state is the unique state of which the reduced density operator obtained by tracing any two qubits has the maximal von Neumann entropy.
High-altitude Multi-object Detection and Tracking based on Drone Videos

Drone videos have more extensive shooting ranges, more angles, and no geographical limitations. Thus the object detection algorithm based on drone videos is increasingly playing a role in various fields, such as military surveillance, space remote sensing, smart city, disaster monitoring scenes, etc. Compared to low-altitude object detection and tracking (LA-ODT), high-altitude object detection and tracking (HA-ODT) are receiving increasing attention, especially in modern cities with massive high buildings, because of their higher flying h eight, w ider v iewing a ngle, a nd t he a bility t o t rack multiple f ast-moving o bjects s imultaneously. However, high-altitude aerial videos (HA-AVs) are constrained by small objects that can be measured, fewer feature points, occlusions, and light changes. Therefore, HA-AVs suffer from blurry images with fewer feature points of objects and missed detection due to occlusion, degrading the ODT accuracy. Since the accessible HA datasets are very limited, not to mention featured datasets considering angles, weather, etc., this paper directly uses drones to collect HA pictures and videos of different angles, different illuminations, and different heights for self-labeling training. Regarding this, we adopt super-resolution reconstruction to increase the data diversity and add artificial o cclusions t o e nhance t he c ollected d ata t o improve t he a ccuracy o f HA-ODT.
Speculative and Critical Approach to Designing Technological Futures through HCI Education

We believe that challenging times demand HCI education to pay attention to current real-life, complex, systemic problems. Therefore, we suggest an integrated framework for teaching HCI that involves combining the transition design framework, which suggests long-term, future-oriented design on a large scale toward more sustainable lifestyles, and speculative and critical design. The integration of the two creates spaces for dialogues and debates enabling students to take a more critical perspective concerning possible futures and technology design. We suggest studio-based pedagogy and explicate various aspects of the course, including its theoretical and practical underpinnings, pedagogical approach, and provide examples of projects to illustrate how the framework was used and ways in which speculative and critical design and thinking were crucial for learning. Finally, we highlight six learning facets that might contribute to orienting students’ upcoming professional work towards desirable futures.
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees.

Models recently used in the literature proving residual networks (ResNets) are better than linear predictors are actually different from standard ResNets that have been widely used in computer vision. In addition to the assumptions such as scalar-valued output or single residual block, the models fundamentally considered in the literature have no nonlinearities at the final residual representation that feeds into the final affine layer. To codify such a difference in nonlinearities and reveal a linear estimation property, we define ResNEsts, i.e., Residual Nonlinear Estimators, by simply dropping nonlinearities at the last residual representation from standard ResNets. We show that wide ResNEsts with bottleneck blocks can always guarantee a very desirable training property that standard ResNets aim to achieve, i.e., adding more blocks does not decrease performance given the same set of basis elements. To prove that, we first recognize ResNEsts are basis function models that are limited by a coupling problem in basis learning and linear prediction. Then, to decouple prediction weights from basis learning, we construct a special architecture termed augmented ResNEst (A-ResNEst) that always guarantees no worse performance with the addition of a block. As a result, such an A-ResNEst establishes empirical risk lower bounds for a ResNEst using corresponding bases. Our results demonstrate ResNEsts indeed have a problem of diminishing feature reuse; however, it can be avoided by sufficiently expanding or widening the input space, leading to the above-mentioned desirable property. Inspired by the densely connected networks (DenseNets) that have been shown to outperform ResNets, we also propose a corresponding new model called Densely connected Nonlinear Estimator (DenseNEst). We show that any DenseNEst can be represented as a wide ResNEst with bottleneck blocks. Unlike ResNEsts, DenseNEsts exhibit the desirable property without any special architectural re-design.
RESEARCH ON THE COGNITION OF PRE-SERVICE HIGH SCHOOL MATHEMATICS TEACHERS FOR IMPLEMENTING INTUITIVE IMAGINATION LITERACY

Currently, intuitive imagination literacy has attracted extensive attention from all walks of life.Many relevant problems about it have been studied except the cognition of implementing intuitive imagination literacy of pre-service high school mathematics teachers.To address this gap, this study investigates 51 pre-service high school mathematics teachers through open-ended interviews to learn about the cognitive situation of pre-service high school mathematics teachers for implementing intuitive imagination literacy.After analyzing, it can be found that about implementing intuitive imagination literacy: 1. Pre-service high school mathematics teachers do not have a comprehensive cognition.Their cognition, both as a whole and in different dimensions, does not reach half of the number of implementation recommendations made by the previous authors, and the subjects they realize for implementation are limited to both teachers and students.2. Pre-service high school mathematics teachers do not have a very reasonable cognition.Some of their ideas lack feasibility or effectiveness and exist a certain one-sidedness, which needs to be further explored and considered.Therefore, it is suggested that: 1.Experts and teachers who are responsible for educating teachers should increase emphasis on intuitive imagination literacy and provide pre-service teachers with more opportunities to practice teaching.2. Pre-service teachers should take the initiative to study and research, focus on combining theory and practice, and continuously reflect, adjust and improve.
ROLE OF THE DIGITAL EDUCATIONAL ENVIRONMENT IN THE FORMATION OF FOREIGN LANGUAGE COMPETENCIES

The problem of the formation of professional foreign language competencies today is inextricably linked with the ability to develop in a digital educational environment, effectively use the Internet and digital educational resources. The development of digital literacy makes it possible to safely carry out communications within the digital environment in a new format. This article examines the readiness of modern students of foreign language education to study in a digital educational environment. It is shown that when students successfully master digital technologies, they develop skills to work in a digital environment and form digital competence, which is necessary in a digital society. A number of digital educational technologies that are used in the process of teaching a foreign language are presented.
An Analysis of Students� Comprehension in Pronouncing English Words by Using Song

The aimed of this research was to know the causes of pronunciation errors made by the students and whether the method of learning English prounciation using song can improve the student�s pronouncing English words at SMAN 8 Bengkulu. The method used in this research is a qualitative descriptive. The informants in this research were students from X IPS 1 Data collection is done by interview and quistionnaire. The data obtained were analyzed by reduction of data, presentation of data, and drawing conclusions.The research results show that most of studens of X IPS 1 more interested and understanding if learning English pronunciation using songs because they can follow a native speaker to say English words correctly. The causes error of their English pronunciation is a lack of their confidence when they speaking English and the media can also be an easy or difficult factor for students to learning English pronunciation. It can be concluded that is the right media for students English pronunciation.
Assessing the Performance of Unmanned Aerial Vehicle for Logistics and Transportation Leveraging the Bayesian Network Approach

Applications of drone technology are gradually becoming widespread all over the world. Remote medical support, commodities transportation within due time, live-action movies, cinematography, distant communication support, and many other provisions are provided by drones right now. However, the selection of drones for a particular job is quite sensitive and not all drones are feasible for any job. In this case, we need to scientifically assess and confirm drone performance in logistics and transportation. In this study, we present a Bayesian Network (BN) approach to predict the overall performance of drone technology through four prime criteria (factors), namely: physical specification, technical responses, functional performance, and economic cost. To that end, we have developed a Bayesian network approach to portray the causal relationships between the various factors that affect drone selection based on their performance, and subsequently, predicted the posterior probability of drone performance conditioned upon the aforementioned salient criteria. To evaluate the model further, a number of analyses, such as Bayesian inference algorithm (belief propagation) and sensitivity analyses have been carried out. The results show that when the physical specification criteria are met, the economic factor is most imperious to the overall performance of the drone, followed by functional performance and technical responsiveness. This research would invoke richer dialogue for the researchers and practitioners to select and use suitable drones and develop subsequent policies for different transportation scenarios under uncertainty.
EFEKTIFITAS APLIKASI CAKE TERHADAP KEMAMPUAN PENGUASAAN KOSAKATA BAHASA INGGRIS SISWA

This research is based on the low ability of English vocabulary mastery of accounting and finance students class X, SMK PGRI Tambun Bekasi. This research is aimed as follows: To analyze the effect of Cake learning applications uses towards students' English vocabulary mastery. The method in this research is Regression Analysis that used to find the effect of Cake learning application uses on students' English vocabulary mastery. This research is expected to be another alternative solution for the teachers when choosing an effective application media to be used in enhancing students' English vocabulary mastery. Based on the results, it can be concluded that the Cake learning application can be used to improve students’ vocabulary mastery. The result of the study identifies that is effects of using Cake applications towards students' English vocabulary mastery. It can be proven that there is a significant effect of using Cake learning media on students' English learning outcomes (sig. = 0.006 &lt; 0.05 and F count = 7.842). There is a significant effect of student interest in learning English (sig. = 0.026 &lt; 0.05 and F count = 5.134). There is a significant interactive effect of learning media and students' interest in learning English (sig. = 0.018 &lt; 0.05 and F count = 5.824)
Back Cover: Electric‐Circuit Simulation of Quantum Fast Hitting with Exponential Speedup (Adv. Quantum Technol. 4/2022)

In article number 2100143, Hanxu Zhang, Tian Chen, Naiqiao Pan, and Xiangdong Zhang implement the simulation of a quantum fast hitting algorithm in an electric circuit. The motion equations of the circuit are Schrödinger-like. The theoretical and experimental results in the circuit reveal that, the success probability at the arriving time is in the order of 1/n for the n-order unbalanced tree, which displays the quantum advantage.
Streamlining Augmented and Virtual Experiential Learning in the Industrial Design Education Process

The purpose of this paper is to better understand the benefits of Augmented/Virtual application in Industrial Design learning at higher education institutions.Industrial innovation in emerging technologies such as Virtual Reality(VR), Augmented Reality (AR) three-dimensional printing (3DP) and rapid prototyping pose challenges in design education.Retributing the trend alters the traditional methods of learning the industrial design profession.
Motion capture and recognition based on wearable technology

To reduce the error of machine recognition method in students' sports training test, this paper designs a motion capture and recognition system based on wearable technology. The system consists of human posture measurement terminal, assessment controller and display terminal. The hardware design adopts ARM control circuit, STM32f controller and WiFi transmission module; In the software design, the motion attitude determination based on feature extraction and OpenGL visualization method are mainly used to transform the human body's attitude trajectory into recognizable quantitative data. The algorithm is tested in LabView environment and the results show that the scheme has high precision and good user interface. It can also realize real-time motion monitoring, motion tracking and positioning.
Pelatihan Menyelesaikan Soal-Soal Ujian Masuk PTN Dan Sekolah Kedinasan Melalui Trik 3M di Kabupaten Jayapura

The selection of the new student in university is like specter for most hight school students who will continue their education to college. One of the causes is because the lack of students’ readiness, as well as the selection techniques that have selective screening criteria. Which the test is carried out through CAT (Computer Assisted Test) with the provisions of passing Grade. This is the reason for carrying out this service. Namely training to high school student specially for students at GKI Yoanibi Doyo Baru, in Jayapura Regency, in preparing themselves to join the selection. This training is carried out for a week with a meeting duration of 2 hours every day. Through practicing to solve the questions with 3M tricks (menganalisis / analyzing, menentukan / determining, and mengerjakan / doing). The result is their knowledge are increased and ready for compete the selection. Furthermore, we are suggested to collaborate with other fields of course in providing acomplete materials. &#x0D;
Error Analysis on the Students' Construction of English Irregular Plural Nouns

In English, the forms of singular nouns commonly different from those of the plural ones. Many students are confused with how to construct the irregular plural noun forms. The formation of irregular plural nouns has complex and unique patterns. This current study aims to get information about the types of errors commonly made by EFL learners in constructing irregular plural nouns and to know how the errors occurred. This study is descriptive qualitative applying error analysis theory. The data were collected by giving the respondents a test consisting of 28 questions on irregular plural construction. The result of analysis shows that the errors made by the respondents can be classified into three types: misformation, addition, and omission. Misformation was the kind of error most respondents made. The error specifically occurred with the nouns that had quite dissimilar plural forms from the singular ones (e.g., foot – feet, goose – geese).
THE ANALYSIS OF DIRECTIVE SPEECH ACT DURING DISTANCE LEARNING

Since the whole world has experienced the Covid-19 pandemic, which has an&#x0D; impact on the education system; it has changed temporarily for an indefinite period.&#x0D; Learning carried out in Indonesia in particular was changed from face-to-face meetings&#x0D; to distance learning. Interaction or communication between teachers and students is&#x0D; carried out online or utilizing technology, both orally and in writing. Speech acts also&#x0D; influence distance learning, where the expressions are given by the teacher becomes a&#x0D; part that has power in regulating the success of distance learning. This study aims to&#x0D; describe the types of directive speech acts performed by teachers to elementary school&#x0D; students. This research is a qualitative descriptive studywith a population of elementary&#x0D; school teachers in Batang, Central Java. The researcher took a sample of 10 teachers&#x0D; who were taken randomly. The results of the study found that directive speech acts with&#x0D; the type of command expression are often used by teachers in distance learning with 16&#x0D; expressions. The conclusion of this research is the expression of command is an&#x0D; expression that is often spoken by the teacher in delivering the material. Through this&#x0D; research, it is hoped that it can provide brief information that the teacher's directive&#x0D; speech acts are part of the process of delivering material or information.