Reviewerly/exHarmony huggingface dataset:
EEMP: Architecture Design of Electrical Equipment Monitoring and Management Platform Oriented to Power Internet of Things

At present, electrical equipment is closely related to people’s lives, and electrical equipment management has long become a key part of modern society. However, compared with other management systems, this type of system has the characteristics of long service life and complex management equipment. In order to accurately divide and manage the needs of the enterprise, a certain degree of understanding must be established in advance. This paper has realized a complete set of electrical equipment monitoring and management platform oriented to the power Internet of Things (EEMP) through the actual analysis of user needs and the main steps of outline design, detailed design and system implementation and testing. Through embedded intelligent Internet of Things equipment, EEMP realizes the main functions of intelligent inspection of electrical equipment, health detection of electrical equipment in use, and authenticity identification of electrical equipment. Experiments show that EEMP can help users get rid of traditional written records, eliminate safety hazards in a timely manner, quickly locate unexpected situations, accurately pursue responsibility, and ensure the safe use of equipment.
Passive Query-Recovery Attack Against Secure Conjunctive Keyword Search Schemes

While storing documents on the cloud can be attractive, the question remains whether cloud providers can be trusted with storing private documents. Even if trusted, data breaches are ubiquitous. To prevent information leakage one can store documents encrypted. If encrypted under traditional schemes, one loses the ability to perform simple operations over the documents, such as searching through them. Searchable encryption schemes were proposed allowing some search functionality while documents remain encrypted. Orthogonally, research is done to find attacks that exploit search and access pattern leakage that most efficient schemes have. One type of such an attack is the ability to recover plaintext queries. Passive query-recovery attacks on single-keyword search schemes have been proposed in literature, however, conjunctive keyword search has not been considered, although keyword searches with two or three keywords appear more frequently in online searches. We introduce a generic extension strategy for existing passive query-recovery attacks against single-keyword search schemes and explore its applicability for the attack presented by Damie et al. (USENIX Security '21). While the original attack achieves up to a recovery rate of 85% against single-keyword search schemes for an attacker without exact background knowledge, our experiments show that the generic extension to conjunctive queries comes with a significant performance decrease achieving recovery rates of at most 32%. Assuming a stronger attacker with partial knowledge of the indexed document set boosts the recovery rate to 85% for conjunctive keyword queries with two keywords and achieves similar recovery rates as previous attacks by Cash et al. (CCS '15) and Islam et al. (NDSS '12) in the same setting for single-keyword search schemes.
Efficient View Clustering and Selection for City-Scale 3D Reconstruction

Image datasets have been steadily growing in size, harming the feasibility and efficiency of large-scale 3D reconstruction methods. In this paper, a novel approach for scaling Multi-View Stereo (MVS) algorithms up to arbitrarily large collections of images is proposed. Specifically, the problem of reconstructing the 3D model of an entire city is targeted, starting from a set of videos acquired by a moving vehicle equipped with several high-resolution cameras. Initially, the presented method exploits an approximately uniform distribution of poses and geometry and builds a set of overlapping clusters. Then, an Integer Linear Programming (ILP) problem is formulated for each cluster to select an optimal subset of views that guarantees both visibility and matchability. Finally, local point clouds for each cluster are separately computed and merged. Since clustering is independent from pairwise visibility information, the proposed algorithm runs faster than existing literature and allows for a massive parallelization. Extensive testing on urban data are discussed to show the effectiveness and the scalability of this approach.
Structure of professional competence of future primary school teachers

At the present stage of the development of Kazakhstani higher education in the context of the transition to the updated content of education, the problem of future primary school teachers’ professional training is relevant. It is not enough to identify the problems in the training of future specialists in the field of primary education in order to list the competencies that a graduate should master. It is reasonable to consider the model of the predicted result as a system of interrelated components. In this regard, this study aims to identify and substantiate the structural components of the professional competence of primary school teachers. The main methods of studying this problem are comparative and model methods, which allow to to take account of various research approaches for understanding the structure of teachers’ professional competence. The results of the study indicate the process of developing analytical, diagnostic, and prognostic professional actions make up the structure of the professional competence of an elementary school teacher, other important characteristics of the teachers’ professional development, such as communicative, are also being successfully improved, which also confirms the integrative basis of the structure of professional competence.
Innovative training of engineers through the integration of the Art component into the STEM University

The integration of various disciplines and skills in the educational environment today contributes to the enhancement of the learning process at the university and the expansion of the qualification characteristics of the future specialist. Investments in interdisciplinary initiatives in education have increased, but events are often not planned properly, there are not enough tools for organizing integrated training of specialists in accessing the content of training from broader, interdisciplinary points of view. It is necessary to realize the satisfaction of the need for interdisciplinary educational activities and the acquisition of skills of the 21st century by introducing STEAM education that stimulates educational activities in which science, technology, engineering and mathematics (the main components of STEM education) are connected with the arts in a broader sense. The article considers the issue of developing the potential of innovative training of technical specialists through the methodology of STEAM education. The authors proposed a definition of the concept of «STEAM education» in the conditions of training technical personnel, presented the purpose, scientific methods and potential of the project, considered the main directions of development of this process within the framework of personal and foreign research experience on the construction of training programs using the STEAM approach.
Quality of teaching: teaching standards and assessment

The provision of high-quality teaching is one of the primary aims of the university. The character of the teaching is determined by its connection with the level of qualification and experience: students pursue their chosen programmes under the guidance of academic staff who are active scholars, teachers with teaching experience in the areas which they teach, and who can present the intellectual challenge of studying a subject in depth. This article does not attempt to cover all aspects of teaching. It does not seek to prescribe for the essential element of intellectual inspiration and challenge in the best university teaching, which depends on the talents of the academic staff. What it provides is the establishment of a framework, based on good practice, within which the vital activity of teachers stimulates, and attracts learners to go through the study programmes successfully. The other issue is to discuss teaching assessment criteria to help teachers to be guided in teaching quality requirements.
Indirect commercialization of psychological research based on results of the DESMoPsI project

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Exploring Student Reading Comprehension and Parental Intervention: A Literature Review

This study aimed to see how parental involvement affects reading proficiency in terms of reading comprehension and word recognition. The related readings from the literature, journals, dissertations, and relevant studies are presented in this review. This helps identify the related literature or readings in parental involvement and reading proficiency of learners arranged for comprehensive understanding. It begins with parental participation, the concept of reading, reading comprehension theories, and reading proficiency levels in the Philippines. Studies showed that parental involvement has positive effects in improving their reading skills.
The Orientation in Learning English (A Study of the Causal Factors of Students’ Integrative and Instrumental Motivation)

This study aims to investigate the students’ motivational orientations in learning English. The method of this research is a quantitative method and a questionnaire is used to collect the data. The result from this research indicates that there are differences in the level of motivation possessed by female and male students. Females tend to learn English with the aim of understanding English in terms of literacy and culture. Meanwhile, males learn English because they want to get good privileges such as having broad insight, getting a good job, and social status. Males have a high level of instrumental motivational orientation with a total percentage of 72.50% while females have 67.50%. Besides that females achieve a high integrative level with a percentage of 92.50% and males reached 80%. It can be concluded that males and females have different motivational orientations.
The Role of Semantic Mapping Strategy in Helping the Students to Write Descriptive Text Easily

Semantic mapping strategy is an effective strategy in helping the students to start their writing. This strategy is applied at the beginning of writing. The aim of this study was to find out the significant difference in writing achievement of the 10th graders at SMA Islam Al-Amalul Khair in the academic year 2020-2021 before and after this strategy was applied. The pre-experimental method was used in this study. The population and sample in this study was all of 10th graders at SMA Al-Amalul Khair Palembang in academic year 2021-2020-2021. The total number of them was 61 students. The test was administered twice as pre-test and post-test. The results of the tests were analyzed by using a t-test through SPSS (Statistical Package for Social Sciences) program. The result of the study showed that there was a significant difference in the writing achievement of 10th graders at SMA Al-Amaluul Khair Palembang before and after the semantic mapping strategy was applied.
Which Book Do You Use, “Bahasa Inggris” by Kemendikbud or “Pathway to English” by Erlangga? A Content Analysis

This research was conducted to find out the quality of two textbooks, “Bahasa Inggris” by Kemendikbud and “Pathway to English” by Erlangga for tenth grade based on the theory of Cunningsworth. The approach applied in this study was qualitative descriptive approach. In collecting and analyzing the data, the researcher used 7 out of 8 categories that consist of 40 checklist criteria to find out the result of this research. The data source was entered into checklist table to compare the materials in both books. The researcher then reported the table's results in terms of the aims and objectives, design and organization, linguistic content, skills, topic, methodology, and practical considerations. The writer found that both are good books and suitable for teachers and learners in Indonesia. “Bahasa Inggris” has met 80% fulfillment percentage of the checklist criteria and “Pathway to English” has met 87% fulfillment percentage. Both have weaknesses as well as strengths. This research can be beneficial for teachers to gain information about the quality and suitability of a textbook for learners and teachers so that teachers can decide which book is going to be used in the class. It is also beneficial to writers to improve the book, to publishers to know which book is good to publish and also to understand the definition of an excellent book. And the last, it is also useful to help other researchers to do the next research and to give information on how to do content analysis research.
Deixis Found in the Movie "12 Strong" by Nicolai Fulgsig

The theory used in this research was proposed by Yule, (1996) to analyze deixis found in the movie. “12 Strong” movie by Nicolai Fuglsig will be the data source to analyze deixiz. This research will be focused on the deixis from the utterances that uttered by the characters in the movie. The research will be used descriptive qualitative method of the research to conduct the data. The researchers will be analyzed the utterances which uttered from the characters in the movie “12 Strong.” The utterances discovered in the movie will be classified used theory types of deixis proposed by (Yule, 1996) which were person deixis, spatial deixis, and the last is temporal deixis. The observational method and non-participatory technique as the method of collecting the data will be used in this research. The result will be discovered that there were 15 utterances of deixis uttered by the characters in the movie. They are included 5 data discovered as person deixis, 6 data discovered as spatial deixis, and 4 data discovered as temporal deixis. The spatial deixis was more often used in the utterances found in the movie.
Need Analysis of Listening Skills in the EFL Class at Sulawesi Barat University

Listening is clearly the weakest skill of EFL students who encounter different kinds of listening problems. This research analyzed student needs analysis of listening skills in EFL learners at Sulawesi Barat University. This study was conducted to identify students' listening obstacle and identify their needs analysis. The questionnaire was conducted to answer the following questions. (1) What are the barriers to the development of students' listening skills? And (2) what are the needs of students regarding listening? 124 EFL students from six different classes were voluntarily selected for the study. The data was gathered by questionnaire. The results of the study showed several reasons that hinder a student's hearing were speaking fast, speaking quietly, different accents and pronunciation, and a group of people talking at the same time. Students' needs for listening comprehension are as follows: students need to recognize English lecturers, students need to learn how to take effective notes and ask for repetition or explanations, students need to recognize long explanations and instructions in English, different accents and pronunciations need to be recognized and students need to increase their vocabulary.
Correlations between the Alternative Assessment Methods and the Pupil Counseling Process

In this paper we present the role of using active-participatory teaching-learning-assessment methods by teachers in order to streamline the educational process in the pre-university education system and the possible correlations between these and the process of school counseling and vocational guidance of pupils. The micro-research conducted on a group of pupils from a pre-university educational unit representative for the system showed that pupils are attracted to activities in which teachers use modern teaching and assessment methods and they have a significant contribution in the training /development/deepening/practicing personal skills necessary for the educational development of pupils and their social evolution. Also, the pupils appreciate the activities of school counseling and vocational guidance as paramount for the elaboration of their own educational development plan and for their subsequent socio-professional evolution.
Analisis pemeliharaan dan pelestarian bahan pustaka di Perpustakaan Sekolah Menengah Kejuruan Swakarya Palembang

This paper aims to analysis the maintenance and preservation of library materials at SMK Swakarya Palembang’s Library, dealing with: first, the factors that cause damage to library materials at SMK Swakarya Palembang’s Library. Second, how to prevent damage to library materials at SMK Swakarya Palembang’s library. Control in the maintenance and preservation of library materials in SMK Swakarya Palembang’s library. Data obtained through observation and interviews with library managers. From the analysis and discussion, the results were found as follows: first, damage to library materials was caused by physical, biological, and chemical factors. Second, the maintenance of library materials is not optimal, such as cleaning books from dust using a duster and a dry cloth. Third, SMK Swakarya Palembang’s library does not have librarians or expert staff in the field of libraries, and there is a lack of funds and there is no policy from the library manager. Based on the above conclusions, it is suggested that SMK Swakarya Palembang’s library has librarian experts in managing libraries and schools should pay attention to funds for preserving library materials.
PENGARUH MOTIVASI DAN PENGGUNAAN TEKNOLOGI INFORMASI TERHADAP KINERJA GURU DI ERA PANDEMI COVID-19 PADA SMK TEKNOLOGI WIRA BHAKTI DENPASAR

The world of education plays an important role in an effort to make the nation's future generations of quality. This can happen if it is supported by good teacher performance. Factors that influence teacher performance include motivation and use of information technology. The objectives of this study are: to determine the effect of motivation on teacher performance in the Covid-19 pandemic era at Wira Bhakti Technology Vocational School Denpasar, to determine the effect of using information technology on teacher performance in the Covid-19 pandemic era at SMK Teknologi Wira Bhakti Denpasar, to determine how much the influence of motivation and the use of information technology on teacher performance in the era of the Covid-19 pandemic at SMK Teknologi Wira Bhakti Denpasar. The sample used amounted to 52 people with a sampling technique that is saturated sampling. The analysis technique used: descriptive analysis, data quality test, classical assumption test, multiple linear regression analysis, t-test analysis, and determination analysis using SPSS Version 24.0 application. The results showed that: 1) partially motivation has a positive and significant effect on teacher performance in the Covid-19 pandemic era at SMK Teknologi Wira Bhakti Denpasar, 2) the use of information technology partially has a positive and significant effect on teacher performance in the Covid pandemic era. -19 at Wira Bhakti Technology Vocational School Denpasar, 3) the magnitude of the influence of motivation and the use of information technology on teacher performance in the Covid-19 pandemic era at Wira Bhakti Technology Vocational School Denpasar was 61.9% while the remaining 38.1% was influenced by other variables which was not discussed in this study. Suggestions can be conveyed so that the school always pays attention to motivation and the use of information technology because together these variables can improve teacher performance.
Message from the DependSys 2021 Program Chairs

22 due to the COVID-19 pandemic
Sensitivity loss training based implicit feedback

In recommender systems, due to the lack of explicit feedback features, datasets with implicit feedback are always accustomed to train all samples without separating them during model training, without considering the non-consistency of samples. This leads to a significant decrease in sample utilization and creates challenges for model training. Also, little work has been done to explore the intrinsic laws implied in the implicit feedback dataset and how to effectively train the implicit feedback data. In this paper, we first summarize the variation pattern of loss with model training for different rating samples in the explicit feedback dataset, and find that model training is highly sensitive to the ratings. Second, we design an adaptive hierarchical training function with dynamic thresholds that can effectively distinguish different rating samples in the dataset, thus optimizing the implicit feedback dataset into an explicit feedback dataset to some extent. Finally, to better learn samples with different ratings, we also propose an adaptive hierarchical training strategy to obtain better training results in the implicit feedback dataset. Extensive experiments on three datasets show that our approach achieves excellent performance and greatly improves the performance of the model.
The modular structural system as an innovation for temporary public healthcare project of 4th-year architecture students at UIN Maulana Malik Ibrahim Malang

Abstract- The module structure system implements development by utilizing fabricated materials or components made outside the project site or on-site. Consumable shipping containers are often used to make architectural space rated more quickly and efficiently. The advantages of containers are customized, strength, durability, modular, labor, movable, availability, expense, and eco-friendly. The rapid spread of Covid-19 in various regions demands fast, proper, and adequate public health facilities. Containers can be an innovative solution for providing temporary, flexible, efficient, functional, and sustainable public health room facilities. This study describes the uses and advantages of modular container systems for architectural spaces. The result is a schematic design from the design studio of the 4th year architecture student of UIN Maulana Malik Ibrahim Malang, who is trying to improve the function of the use of consumable containers to get more benefits as a temporary architectural space for sustainability and public awareness of health and handling Covid-19.
Head Pose Estimation of Stroke Patients Based on Depth Residual Network

The accuracy of the traditional head pose estimation method based on key feature points is easily affected by the accuracy of key feature points, serious occlusion or excessive angle deviation, resulting in bad deviation of the detection results. In order to improve the accuracy and stability of head pose estimation, a head pose estimation method using depth residual network ResNet101 as backbone network is proposed. The method AdaBound optimizer to optimize the training process gradient, use Softmax classifier and calculate the cross entropy loss function, and finally accurately predicts the head pose. We collected videos of stroke patients doing rehabilitation training, and established a new head posture data set after processing, which contains thousands of head posture RGB images of 40 stroke patients. We use the method proposed in this paper on this data set and the public dataset BIWI, and the results show that this method is very suitable for our dataset, and has good stability to different angles of the head posture, and has good robustness.