Reviewerly/exHarmony huggingface dataset:
Formation of Communicative Reflection Skills in the Process of Teaching English in Grade 6 of the Secondary School

The aim of the study is to prove that the discipline “Foreign Language” has a significant potential for the formation of students’ communicative reflection skills. The paper analyses and substantiates the possibilities of the discipline “Foreign Language” for the formation of communicative reflection skills, describes some techniques for the formation of communicative reflection skills in English classes in grade 6. Scientific novelty of the study lies in clarifying the research vocabulary for the process of forming students’ communicative reflection skills in the secondary school. As a result, the effectiveness of using techniques for the formation of communicative reflection skills in English classes in grade 6 of the secondary school in the context of the Federal State Educational Standard has been theoretically substantiated and experimentally proven.
Research and Practice on High Availability Scheme of Unified Identity Authentication System Based on CAS in Colleges and Universities

Unified identity authentication has become the basic information service provided by colleges and universities for teachers and students.Security, stability, high concurrency and easy maintenance are our requirements for a unified identity authentication system.Based on the practical work experience of China University of Geosciences (Beijing), this paper proposes a high availability scheme of unified identity authentication system based on CAS, which is composed of multiple CAS Servers, Nginx for load balancing, and Redis as a cache database.The scheme has been practiced in China University of Geosciences (Beijing), and the application effect is good, which has practical reference significance for other universities.
SRI3D: Two‐stream inflated 3D ConvNet based on sparse regularization for action recognition

Abstract Although most state‐of‐the‐art action recognition models have adopted a two‐stream 3D convolutional structure as a backbone network, few works have studied the impact of loss functions on action recognition models. In addition, sparsity is used as a key prior knowledge in many fields. However, as far as is known, no one has studied the influence of the sparsity of network output on the output of deep learning‐based action recognition models. Therefore, this paper proposes a novel two‐stream inflated 3D ConvNet based on the sparse regularization (SRI3D) model for action recognition. In order to allow the network to learn the sparsity of output, the ℓ 1 norm is embedded in the loss function in regularization form in a plug‐and‐play manner. It can make the classification result after the fusion of the two‐stream network only be the category with the highest confidence in one of the streams and not the other cases. The proposed loss function based on sparse regularization makes the output vector of the neural network as sparse as possible so that the classification results will not be ambiguous. Experimental results show that compared with other state‐of‐the‐art models, this SRI3D has a competitive advantage on Kinetics‐400, Something‐Something V2, UCF‐101 and HMDB‐51.
The effect of non-dental glass fiber volume fraction on flexural strength of heat cured acrylic resin

Background: Heat-cured acrylic resin is a material that is often used for the manufacture of removable partial dentures in dentistry because it uses simple equipment, relatively inexpensive, and is easy to repair. Acrylic resin also has a disadvantage, such as the low value of flexural strength so that it can cause the denture to fracture. This study determine the effect of non-dental glass fiber volume fraction on the flexural strength of heat cured acrylic resin. Method: This research are post-test only control group design. Acrylic resins were divided into four groups (6 sample each group), group 1 without the addition of non-dental glass fiber or 0% and heat cured acrylic resin group with the addition of non-dental glass fiber 1%,2%, and 3% (group 2, 3 and 4). Result: The average flexural strength of acrylic resin with a volume fraction of 2% of non-dental glass fiber had the highest value compared to other groups. The results of the Mann-Whitney test from several test groups showed significant differences in the value of flexural strength from each group (p&lt;0.05), except for the 0% and 3% group. Conclusion: There is an effect of volume fraction of non-dental glass fiber on the flexural strength of heat cured acrylic resin.
Connection Model Between English Vocabulary Knowledge and Psychological Vocabulary

The study at hand has attempted to describe the acquisition of three EFL lexical knowledge aspects-meaning, synonymy and collocationacross three academic levels: Baccalaureate, second year and fourth year university levels in Morocco.The research also compares the development of the three lexical knowledge aspects between knowledge (reception) and use (production) and attempts to trace their order of acquisition.This has led to the use of three main data collection tasks: translation, acceptability judgment and multiple choices.The study has revealed the following findings.First, L1 and EFL mental lexicons are connected at the lexical knowledge depth.Second, such connection is active whether in language reception or use.Third, the connectivity between L1 and EFL mental lexicons tends to relatively decrease as the academic level of the learners increases.Finally, the research has revealed a significant "order" of acquisition between the three lexical aspects, though not a very strong one.
Need for Cybersecurity Awareness in Rural Communities: A Socio-Legal Perspective

The cyberspace and its awareness have been expanding vastly since its entrance into the common world. There is now so much that can be done in the cyberspace and so many ways to use the Internet, wherein there have been rapidly increasing numbers of cyber-crimes and exploitations. Cyber-attacks are becoming more common and it is only the educated and urban communities who have information regarding how to prevent and/or face the attacks. There is an ever-growing need to push the concept of cyber-security to the rural regions in any country, there is a need to educate on the dangers of the cyber-world. As internet connectivity is reaching rural areas now, there is a higher risk of cyber-threats as well. The paper aims to enunciate the dangers of the cyber-space and the need for cyber-security in rural regions in India. It will layout the existing legal framework on cyber-security in India which the author will attempt to critically analyse. The paper will also contain recommendations on how to address the issue and aims to positively make a difference in the use of the cyber-space.
Comparative study of face-to-face and virtual learning modalities

This paper analyzes university students' academic performance between the periods before the COVID-19 pandemic and the period of the pandemic. Different scientific materials from the Scopus database are analyzed to recognize the possible factors that could alter school motivation and, consequently, the grade point average. The grades of students in eight subjects are also analyzed. The main results show that it is impossible to establish a single criterion to recognize the reasons that make young people lower their grades. In addition, it was observed that teaching methodologies are essential for improvements in the learning process.
Enhancing religious education through emotional and spiritual intelligence

In the context of the changes and challenges of the 21st century, the main focus of education, especially religious education, is to prepare students to live purposeful and meaningful lives with well-developed analytic, emotional and spiritual abilities to assist them in achieving a life perspective that allows them to face the larger world with greater self-confidence and self-awareness. Therefore, the main objectives of the study are: to bring forward the concepts of religious education, emotional intelligence and spiritual intelligence; to discuss the importance of emotional and spiritual literacy in children’s education; and to discuss the main strategies to enhance the educational process through emotional and spiritual intelligence. This article is a conceptual framework based on a theoretical review. The author reviews literature from books, scientific journals and research reports to develop relevant concepts. Contribution: This study provides information about two important intelligence in Christian Orthodox religious education. Recognising emotional and spiritual intelligence has allowed teachers to engage with students and help them perform at their best. Emotional intelligence and spiritual intelligence promote self-efficacy, self-awareness, self-regulation, motivation, empathy and social skills, which help students perform management tasks in their future occupations but also help them to improve relationships with parents, colleagues and God.
QiCells: A Modular RFSoC-based Approach to Interface Superconducting Quantum Bits

Quantum computers will be a revolutionary extension of the heterogeneous computing world. They consist of many quantum bits (qubits) and require a careful design of the interface between the classical computer architecture and the quantum processor. For example, even single nanosecond variations of the interaction may have an influence on the quantum state. Designing a tailored interface electronics is therefore a major challenge, both in terms of signal integrity with respect to single channels, as well as the scaling of the signal count. We developed such an interface electronics, an RFSoC-based qubit control system called QiController. In this article, we present the modular FPGA firmware design of our system. It features so-called digital unit cells, or QiCells. Each cell contains all the logic necessary to interact with a single superconducting qubit, including a custom-built RISC-V-based sequencer. Synchronization and data exchange between the cells is facilitated using a special star-point structure. Versatile routing and frequency-division multiplexing of generated signals between QiCells and converters are also supported. High-level programmability is provided using a custom Python-based description language and an associated compiler. We furthermore provide the resource utilization of our design and demonstrate its correct operation using an actual superconducting five-qubit chip.
Multi-Stream Graph Convolutional Networks for Text Classification via Representative-Word Document Mining

Recently, graph convolutional networks (GCNs) for text classification have received considerable attention in natural language processing. However, most current methods just use original documents and words in the corpus to construct the topology of graph which may lose some effective information. In this paper, we propose a Multi-Stream Graph Convolutional Network (MS-GCN) for text classification via Representative-Word Document (RWD) mining, which is implemented in PyTorch. In the proposed method, we first introduce temporary labels and mine the RWDs which are treated as additional documents in the corpus. Then, we build a heterogeneous graph based on relations among a Group of RWDs (GRWDs), words and original documents. Furthermore, we construct the MS-GCN based on multiple heterogeneous graphs according to different GRWDs. Finally, we optimize our MS-GCN model through updated mechanism of GRWDs. We evaluate the proposed approach on six text classification datasets, 20NG, R8, R52, Ohsumed, MR and Pheme. Extensive experiments on these datasets show that our proposed approach outperforms state-of-the-art methods for text classification.
History states of one-dimensional quantum walks

We analyze the application of the history state formalism to quantum walks. The formalism allows one to describe the whole walk through a pure quantum history state, which can be derived from a timeless eigenvalue equation. It naturally leads to the notion of system-time entanglement of the walk, which can be considered as a measure of the number of orthogonal states visited in the walk. We then focus on one-dimensional discrete quantum walks, where it is shown that such entanglement is independent of the initial spin orientation for real Hadamard-type coin operators and real initial states (in the standard basis) with definite site parity. Moreover, in the case of an initially localized particle it can be identified with the entanglement of the unitary global operator that generates the whole history state, which is related to its entangling power and can be analytically evaluated. Besides, it is shown that the evolution of the spin subsystem can also be described through a spin history state with an extended clock. A connection between its average entanglement (over all initial states) and that of the operator generating this state is also derived. A quantum circuit for generating the quantum walk history state is provided as well.
ARAS Algorithm as Decision Support System’s Technique for Selection Student Creativity Program

Abstract Indonesia’s Directorate General of Higher Education, Ministry of Research, Technology, and Higher Education founded the Student Creativity Program (abbreviated as PKM) to help Indonesian students better understand, develop, and apply the science and technology they learn in class. Public and private university students alike can participate in this important event. Once a proposal has been submitted and reviewed at each institution, the activity moves on to the national level. Students at colleges and universities have the power to select the best proposals to ensure that the best ideas get funded. The choice is made by the research and community service institution (abbreviated as LPPM). LPPM uses qualified reviewers in their respective fields to do the selection. After that, the papers are ranked according to the PKM guidebook’s evaluation components, which are listed in the review findings. A comparison method is essential to evaluate proposals because subjective evaluation is severely discouraged. PKM proposal selection will be examined utilizing decision support system methodologies in this study. The problem was solved using the Additive Ratio Assessment (ARAS) approach. Title, Abstract, Preliminary; Destination; Method; Discussion Result; Conclusion; and Bibliography comprise the eight components of the assessment criteria based on 21 samples of PKM proposals. The ARAS technique calculates that nine suggestions are deserving of national selection, with a Ki value ranging from 0.97534518 to 0.70813085.
Sengkang City Runoff Management in Primary Drainage Channels with One Dimensional SWMM model

Abstract The main problem in Sengkang City is the occurrence of flood with a height between 0,5 to 1 m in the city center which is an economic area, these is visually caused by the insufficient capacity of the drainage channel to drain runoff water. Topographically, the economic center of Sengkang city is a basin area which is the downstream part of 4 primary channels, namely channels A, B, C, and D. The purpose of this study was to analyze the existing conditions of inundation and volumes and to make modification plans to reduce the area and volume of flooding in Sengkang City. In this study, topographic measurements, data on channel cross-sectional conditions and elevations were carried out as well as data collection on rainfall and land use to be used as input data for the rainfall-runoff SWMM simulation that was appropriate and under existing conditions. Simulations were carried out using rainfall intensity 5-year and 10-year return periods and modifications were made to an additional storage capacity of 2.000 m3 in primary channel A. From the simulation results, the flood volume for 5-year return periods (R5) of 96.375m3 (11 inundation areas), 10-year return periods (R10) of 148.901 m3 (12 inundation areas), and modification of 10-year return periods (R10) of 43.990 m3 (9 inundation areas) with a percentage decrease of 70,46% and reduce of 3 inundation areas.
The strategy of Tukad Badung pollution control using QUAL2Kw and AHP

Abstract Tukad Badung is the major river flowing through Denpasar, the capital city of Bali Province, Indonesia. It is polluted by domestic dan industrial waste which is contributed by surrounding communities such as hotels, shopping area, animal husbandry, printing industries, tofu and tempeh industries industry, and housing area. This research aims to analyse the quality of the water and determine the best among options provided to overcome the pollution problem conducted by using two analytical programs, i.e. QUAL2Kw and Analytical Hierarchy Process (AHP). According to the results of QUAL2Kw analysis, several parameters of water quality of Badung River did not meet the Indonesian standards of water quality stated in Regulation Number 82 the Year 2001 about Water Quality Management and Water Pollution Control. The TSS reached 111.02 kg/day, the BOD reached 92.24 kg/day, and the COD reached 440.92 kg/day. Whereas the pollution load capacity is only 15.43 kg/day for TSS, 19.68 kg/day for BOD, and 7.45 kg/day for COD. This problem occurred was due to the home industries activities in the upstream part of the Badung River. The result of the Analytical Hierarchy Process (AHP) shows that “improving monitoring and supervision of waste disposal” has the highest composite weight value of 0.317. Among a series of solutions offered, this result suggests that the local government should take actions to impose the regulations on wastewater disposal to the river stream by surrounding communities especially the small and middle-size enterprises.
Analytical Hierarchy Process Algorithm for Define of Water Meter

Abstract Customers can be certain that the fees they are charged are proportional to the amount of running water used or spent by clean water consumers in some households as a result of the usage of a water meter. Neglected water meters can cause losses for both consumers and PDAM companies. The project’s goal was to analyze a water meter using artificial intelligence. While the purpose of the research is to discover the most prevalent causes of water meter degradation, the output of the research is to identify the most destructive variables. This study’s data came from observations and interviews with the Regional Water Company (PDAM) Tirtauli in Pematangsiantar. The Analytical Hierarchy Process (AHP) technique is used to create a decision support system. The following meter damage explanations have been discovered based on information acquired through interviews and fieldwork: Congestion Water Meter (KM-1), Escape Water Meter (KM-2), Deaf Water Meter (KM-3), Gedek Water Meter (KM-4), and Water Meter Broken (KM-5). The Gedek Water Meter (KM-4) has the greatest priority for water meter damage, according to the AHP approach, with a computed value of 0.3211. The study’s findings are expected to increase water meter degradation in the PDAM, perhaps leading to higher customer water bills.
Python Based Machine Learning Text Classification

Abstract Machine learning is a clear indication that technological progress is accelerating right now. All jobs must be done instantly and quickly in the digital world, making businessmen more competitive. There is also a pressing demand for machine learning in education. As far as future policies go, this is relevant. Included in this issue is the challenge of evaluating the substance of a student’s thesis abstract for accuracy, appropriateness, and topicality. One method for addressing these issues is classification. The appropriateness level of abstract writing can be determined by classifying the labeled training data according to the topic. Of course, the training and test data will be cleaned or pre-processed prior to classification. Pre-processing and classification tasks benefit from the python library’s speed and accuracy. In 2019, 126 abstract papers with 8 labels were used, and in 2020, 116 abstract documents with 8 labels were used. The student’s thesis abstract follows the topic with an accuracy of 93.85 percent, a precision of 97 percent, and a recall of 95 percent, according to the results of the study.
Inertia of two-qutrit entanglement witnesses

Entanglement witnesses (EWs) are a fundamental tool for the detection of entanglement. We investigate the inertia of bipartite EWs constructed by the partial transpose of NPT states. Furthermore, we find out most of the inertia of the partial transpose of the two-qutrit bipartite NPT states. As an application, we extend our results to high-dimensional states.
Fast Three‐Dimensional Search Algorithm to Improve the Carrier Tracking Performance During the Entry, Descent, and Landing (EDL) Phase of Mars Probes

Abstract Carrier tracking for highly dynamic and extremely weak signals is challenging, including during the entry, descent, and landing phase of Mars rovers and the soft landing of lunar probes. In this study, a novel frequency detector is designed based on the frequency maximum likelihood estimator, and a frequency‐locked loop algorithm is constructed. The frequency‐locked loop is suitable for tracking Doppler shifts with large first and second derivatives. Compared with the Jet Propulsion Laboratory frequency maximum likelihood estimator, the computation time is significantly reduced. The simulation results illustrate the effectiveness of the proposed algorithm. This method provides a good method for Doppler frequency measurement in deep space exploration, especially when tracking highly dynamic and extremely weak signals.
Adaptive and efficient estimation in the Gaussian sequence model

This paper deals with the problem of estimating the mean of an infinite-dimensional Gaussian vector by the principle of minimizing unbiased risk estimation (URE). The aim is to obtain an adaptive estimator to mimic the oracle with the smallest squared L2 loss/risk in a given class of linear estimators Λ. It is noticed that there is an essential balance between enlarging Λ for more efficient oracle risk and contracting Λ for the adaptivity to the oracle. This paper proves that this balance can be well achieved by minimizing URE in a list of intermediate classes between the projection and monotone classes. The resulting estimators are adaptive on the nonparametric space and have more efficient risks than the projection estimators under certain conditions.
3D structural and geological modeling of the Kwatebala Cu–Co deposit, Tenke-Fungurume district, Democratic Republic of Congo

The Kwatebala Cu–Co deposit is one of the giant deposits of the Central African Copperbelt and is part of the Tenke-Fungurume district, the world's largest known resource of cobalt, located in the Democratic Republic of Congo. The application of 3D implicit geological modeling in the Cu–Co Kwatebala deposit defined not only the lithological and ore models but also a complex structural framework. A total of six groups of faults were defined and suggest the occurrence of two tectonic events subdivided into five local stages in the Kwatebala Cu–Co deposit. The hierarchy of these stages was correlated to the tectonic evolution data in the literature showing initial thrusts defining the allochthonous position of the deposit in a pre-Lufilian stage. Salt tectonics-related moves in the early stages of Lufilian orogenesis, defining the Kwatebala diapiric structure. Posterior inverse faults of high angle and northward dip are probably related to the circulation of saline hydrothermal fluids responsible for a later Cu–Co synorogenic mineralization. Two later groups of faults displace the ore bodies, the first being related to thrust faults dipping south related to the end of the Lufilian arc evolution and finally the northwest faults that cut all the other previous structures.