Reviewerly/exHarmony huggingface dataset:
Research on Teaching Practice of Ear Training and Sight Singing (University Program) from the Perspective of the Educational Ecology

Educational ecology is to take the interconnection and action mechanism between education and the environment as the research object, try to reveal the law and ecological mechanism of educational development, and explore the ways and methods to optimize the educational Ecological Environment. [1]This paper takes the above methods as a perspective to observe the university Ear Training and Sight Singing classroom, sort out and discuss the problems existing in Chinese universities, and provide theoretical reference for the sustainable development of the university Ear Training and Sight Singing teaching practice.
Analysis of Latent Classes of Self-Directed Learning and Impact Variables in Middle and High School Students During the COVID-19 Pandemic

본 연구는 코로나19로 인해 등교수업과 원격수업이 함께 진행된 2020년 2학기에 중‧고등학생이 경험한 학습양상을 이해하기 위해 자기주도학습에 따라 학습유형을 구분하고, 이에 영향을 미친 변인을 탐색하였으며, 잠재집단 간 수업 태도, 자기효능감, 학업정서 변화의 차이를 비교하였다. 이를 위해 서울지역 중‧고등학생 783명을 대상으로 잠재프로파일분석과 다항 로지스틱 회귀분석을 실시하였다. 그 결과는 다음과 같다. 첫째, 중‧고등학생 모두 전체 학생 수의 반 이상을 차지하는 ‘자기주도학습 보통 집단’, 그 외 ‘자기주도학습 높은 집단’과 ‘자기주도학습 낮은 집단’의 3개의 잠재집단이 도출되었다. 둘째, 자기주도학습을 잘하는 집단일수록 중‧고등학생 모두 자기효능감과 수업 태도가 좋은 것으로 나타났다. 더불어 고등학생의 경우 자기주도학습을 잘하는 학생에 비해 보통이나 낮은 집단에서 코로나19 이전보다 불안과 스트레스를 더 많이 느끼는 것으로 나타났다. 마지막으로 집단 구분에 영향을 주는 변인으로는 중학생은 사교육, 자기효능감, 학부모지원, 디지털기기 활용능력이, 고등학생은 자기효능감과 학부모지원이 영향을 미치는 것으로 나타났다. 이러한 결과는 코로나19로 인한 학습회복과 관련하여 교수‧학습과정에 초점을 맞춘 학생지원 프로그램 개발과 운영에 대한 기초자료를 제공할 수 있을 것이다.In order to understand the learning patterns of middle and high school students in the second semester of 2020, when in-school and remote classes were conducted in tandem due to the COVID-19 situation, this study identified learning types according to self-directed learning, explored the predictive variables that affected them, and compared differences in class attitudes, self-efficacy, and academic emotions between groups. To this end, 783 middle and high school students in Seoul were subjected to latent profile and polynomial logistic regression analyses. The results are as follows. First, three latent classes were derived: an "average group for self-directed learning," which accounted for more than half of the number of students in both middle and high school; a "high group for self-directed learning"; and a "low group for self-directed learning." Second, the better the self-directed learning group, the better the self-efficacy and class attitude of both middle and high school students. In addition, high school students in the average or lower group felt more anxiety and stress than before the COVID-19 restrictions than did those students who were good at self-directed learning. Finally, it was found that the variables that impact latent class classification for middle school students were out-of-school classes, self-efficacy, parental support, and the ability to use digital devices, while for high school students, they were self-efficacy and parental support. These results could provide the basis for the development and operation of student support programs focused on the teaching and learning process in relation to learning recovery made necessary by the COVID-19 pandemic.
Professional Development Needs and the Mediating Effect of Participation in the Relationship Between Feedback for Teachers and Job Satisfaction

학교 교육에서 교사를 위한 피드백은 전문성과 직무만족도 등 여러 측면에서 그 실효성이 강조되고 있지만, 그 실증적 연구는 부족한 실정이다. 이러한 한계를 보완하는 차원에서 본 연구 목적은 교사에 대한 피드백, 교사 전문성 개발 수요 및 참여, 그리고 직무만족 간의 구조적 관계를 확인하는 것이다. 본 연구의 대상은 2018 OECD Teaching and Learning International Survey (TALIS)에 참여한 우리나라 초중등학교 346개교 소속의 교사 6,096명 자료이다. 우선 본 연구에 의한 구조방정식 분석 결과는 교사에 대한 피드백이 직무만족에 직접적인 효과가 있음을 보여주었다. 아울러, 교사 피드백은 전문성 개발 수요 및 활동 참여를 통해서 직무만족에 영향을 가지는 이중매개 효과를, 그리고 전문성 개발 활동 참여를 통한 매개 효과를 각각 보여주었다. 본 연구 결과는 우리나라 초중학교에서 개별 교사의 전문성 개발과 직무만족에 향상을 위해 교사에 대한 피드백이 더욱 활성화될 필요성이 있음을 실제적으로 시사하고 있다.Although the effectiveness of feedback for school teachers is being emphasized in various aspects such as professional development and job satisfaction, empirical research is lacking. Responding to this limitation, the purpose of this study was to investigate the structural relationship between feedback for teachers, professional development needs and participation, and job satisfaction. This study used data from 6,096 teachers at 346 elementary and secondary schools in South Korea who participated in the 2018 Teaching and Learning International Survey (TALIS) managed by the Organization for Economic Cooperation and Development (OECD). First of all, the results of structural equation modeling according to this study showed that feedback for teachers has a direct effect on job satisfaction. In addition, teacher feedback had a dual mediating effect affecting job satisfaction through professional development requirements and participation in activities, and each showed a mediating effect through participation in professional development activities. The current study suggests that facilitating feedback for teachers be promoted to improve professional development and job satisfaction.
Fitness for use of data: scientists' heuristics of discovery and reuse behaviour framed by the FAIR Data Principles

Introduction. Data reuse in the natural sciences is necessary due to several factors—data volume, the often-real-time one-time collection, the associated collection costs, as well as data’s long-term scientific value with many potential reuses across domains beyond its original purpose. Method. This study captures heuristics used by natural scientists to inform their discovery and reuse. Using a critical incident technique, forty-three scientists from biology, geology, and oceanography were asked to describe their most recent data discovery resulting in reuse. Analysis. To frame participants’ behaviour along a sequence of actions from finding to reusing data, the survey used the FAIR Data Principles. Results. Results show a common lack of understanding of controlled vocabulary and a common determination of fitness of use by noting familiar sources rather than searching through extensive metadata. Conclusions. Scientists’ perceptions of their discovery and reuse behaviour provide considerations for research and impact practice to inform the design of tools and services to improve data reuse by both humans and machines.
A Classification-Aware HSI Denoising Model With Neural Adversarial Network

Denoising is the representative task in hyperspectral image processing. This letter proposes to produce a classification-driven hyperspectral image denoiser which is capable of simultaneously reducing noise and preserving semantic-aware detail. The conditional neural adversarial network and multiple loss functions are introduced to produce visually pleasing images by enforcing an additional constraint that the denoised image must be indistinguishable from its corresponding ground truth clean image. Experiments are performed on hyperspectral remote sensing images containing both the simulated hybrid noise and real noise. The results show that the proposed model outperforms many state-of-the-art denoising methods for HSIs.
Identifying the level of perceived organisational transparency among healthcare providers working for the Ministry of Health, Saudi Arabia

Objective: To identify the level of perceived organisational transparency among healthcare providers working for the Ministry of Health. Methodology: Four hundred and twenty participants in three ministry of health facilities were surveyed using a descriptive cross-sectional correlational design and validated survey data. Results: The total average of all responses on all items of the organisational transparency was 3.37± 0.66. Organisational transparency was perceived by nurses more than physicians and allied healthcare providers. The old participants perceive their organisation as transparent more than younger participants. The participants in all the four education categories: Diploma, Bachelor, Master, and Doctorate, were homogeneous about their responses on the organisational transparency. There were substantial gender variations in the means of the participants' replies. Females perceived their organisation to be transparent more than males as the mean of their responses were (3.46) and (3.12), respectively. Conclusion: The study emphasizes the importance of organisational transparency and strategic understanding in enhancing and promoting the organisational readiness to change. Leaders should make efforts to communicate the change plan and strategies to all employees focusing more on employees understanding of those strategies.
Retracted: Natural Organic Matter (NOM) Transformations and their Effects on Water Treatment Process: A Contemporary Review

&lt;p&gt;The article entitled “Natural Organic Matter (NOM) Transformations and their Effects on Water Treatment Process: A Contemporary Review”, by Karnena et al., published in Recent Innovations in Chemical Engineering 2021; 14(5). https://dx.doi.org/10.2174/2405520415666211229101553 has been retracted on a complaint of plagiarism with a previously published article entitled “Natural organic matter-cations complexation and its impact on water treatment: A critical review” in the journal Water Research 2019, 160, 130-147. 10.1016/j.watres.2019.05.064. &lt;/p&gt;&lt;p&gt; The authors were notified of the complaint and were requested to provide justification in their defense. However, they have not responded in this regard. &lt;/p&gt;&lt;p&gt; Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused. &lt;/p&gt;&lt;p&gt; The Bentham Editorial Policy on Article Retraction can be found at https://benthamscience.com/editorial-policies-main.php. &lt;/p&gt;&lt;p&gt; BENTHAM SCIENCE DISCLAIMER: &lt;/p&gt;&lt;p&gt; It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.&lt;/p&gt;
My advice is to follow your passion

Tell us about your work My research focuses on detecting small movements of Earth’s surface and interpreting them to better understand volcanic plumbing systems and earthquake processes. These measurements can be made from radar satellites that, despite being hundreds of kilometres above us, are able to sense movements of just a few millimetres, which still […]
Discussion on the Application of Inorganic Nonmetallic Materials in Building Engineering

In recent years, with the continuous development and progress of science and technology and economy, more and more people flood into cities, which leads to the gradual acceleration of the development of the construction industry, the number of buildings is also increasing year by year, and the development of the construction industry will need the support of inorganic non-metallic materials.At present, the research on inorganic non-metallic materials is more and more closely related to the construction industry.Because inorganic non-metallic materials usually have excellent properties that other traditional materials do not have, they can be widely used in construction engineering and play a great role in promoting the development and progress of social economy in the future.In this paper, the inorganic non-metallic materials and their classification are introduced firstly, and the application and advantages of inorganic non-metallic materials in construction engineering are expounded, and the application evaluation of inorganic non-metallic materials in construction engineering is analyzed.Finally, the future development of inorganic non-metallic materials in construction engineering is discussed.
Research on the Promotion of International Vision of Mba Education--from a Two-Dimensional Perspective Based on Knowledge Maps and Spatial Changes

Quantitative analysis of relevant literature on international MBA field research in the Web of Science database over the past 30 years .From 1991 to the present, the number of research papers in this field has shown an overall increasing trend.And the result shows that the number of publications varies greatly from country to country, with the United States and the United Kingdom ranking the first and the second and the United States contributing more than a half of the total amount.However, the COVID-19 epidemic has hindered personnel exchanges and cooperation between countries, and has seriously affected the development of MBA international education in local colleges and universities.Under the normalization of epidemic prevention and control, based on the connotation and composition of the internationalization of MBA education, clarify the development direction, expand the "dual cycle" that combines domestic demand with the diversification of foreign education cooperation, and take into account the new pattern of diversified and balanced international education cooperation.In practice, explore the implementation path of improving "flexibility", driving "innovation" and promoting "local internationalization".
Research on Ethnic Traditional Sports Integration and School Physical Education Teaching

The change of the concept of physical education in today's world gives the physical education curriculum more flexibility, and it has more autonomy and construction space in selecting teaching content, organizing teaching process and teaching evaluation.Physical education curriculum is a process of acquiring sports skills, cultivating sports intelligence, developing physical quality and shaping a complete personality.Based on this, it is of far-reaching significance for ethnic traditional physical education to be integrated into school physical education curriculum.
AID-Watch - Smartwatch for People with Cognitive Impairments

In many cases, individuals with cognitive impairments are unable to use basic daily living aids such as a watch and are therefore not able to plan or even go through their daily lives without additional help. For this reason, we developed iteratively and in collaboration with a potential user the product concept AID-Watch.
DaFNeGE: Dataset of French Newsletters with Graph Representation and Embedding

Natural language resources are essential for integrating linguistic engineering components into information processing suites. However, the resources available in French are scarce and do not cover all possible tasks, especially for specific business applications. In this context, we present a dataset of French newsletters and their use to predict their impact, good or bad, on readers. We propose an original representation of newsletters in the form of graphs that take into account the layout of the newsletters. We then evaluate the interest of such a representation in predicting a newsletter’s performance in terms of open and click rates using graph convolution network models.
Smart Interactive System for the Hearing and Speech Impaired

The deaf face far more difficulties than normal people in day-to-day life, and sign language acts as the most important communication tool for them. Though a lot of books are available as a learning resource for this language, it's not common amongst a major section of the Indian population. An important area of concern is when they need to seek healthcare facilities. The doctors and other hospital staff struggle to understand their issues, and they themselves also put in much effort and time to communicate it to the doctors. Irrespective of joint efforts put in by both the communities, they are unable to get proper health benefits and the services of world-class doctors. In order to solve this problem, SISD, which is a smart interactive system for differently abled persons, based on Indian Sign Language has been proposed. It works similarly to the interactive voice response (IVR) system. SISD provides the user with choices (animations/videos of signs) and recognizes the user's choice via a sign language recognition system.
Application of Functional Training Methods in Wrestling Training

At present, competitive sports is the core of national sports competitiveness and the key to the development of national sports.As an important event of the Olympic Games, wrestling is gradually attracting the attention of gold medal competitions in various countries.This article aims to study the application of functional training methods in wrestling training.Based on the analysis of the principles of functional training, the evaluation methods and training methods commonly used in functional training, 20 male wrestlers from a sports college are the research objects.Divide them into experimental group and control group, observe the difference of wrestling training effect between the two groups of athletes under different training methods.Experimental results show that functional training can improve the balance ability of wrestlers.
Design of E-government Shared Data Resource Database Architecture

With the development of Internet technology, e-government shared database is widely used and concerned by the people.In the environment of China's rapid economic growth, government work has become more transparent.In order to improve the efficiency and service level of government departments, we must use an efficient and perfect information resource base that can effectively support people's needs and meet the personalized requirements of the public as the basis.Therefore, this paper studies and analyzes the structure of e-government shared data resource database.Firstly, this paper expounds the significance of e-government shared data, and then studies the technology needed to design the database.Then, based on the above technology, the framework of e-government shared data resource database is designed, and the performance of the database is tested.Finally, the test results show that the four elements required for the correct implementation of the database, atomicity, consistency, isolation and persistence, are more than 90, which show that the data nature in the database is accurate and consistent, and can meet the needs of e-government sharing.
Accuracy Improvement Methods to a Deep Neural Network Model in Computer Vision

This paper covers machine learning approaches to improve the accuracy of a Deep Neural Network (DNN) inference in computer vision, particularly in image segmentation. A few benefits of object recognition aided by computer vision is to help aircraft crew avoid adversaries in various weather conditions, to offload the crew's attention from finding desired objects as well as estimating the position of those objects throughout missions. Since DNN inference is trained without explicit programming, it is challenging to precisely locate its sub-optimality when it performs less accurate prediction. This paper explores three machine learning approaches that improve a DNN model prediction accuracy: 1) Prediction result analysis using the author's original work called Directional Pixel Delta as well as Jaccard's Intersection over Union (IoU) loss function 2) Bayesian optimization hyper-parameter tuning 3) Training data optimization via Bootstrap Aggregating.
Research on Asteroid Mining Based on Entropy Weight Fair Index Evaluation System

The universe is rich in mineral resources.With the rapid development of commercial space flight, people gradually begin to consider the possibility of asteroid mining.In this paper, we have developed a set of measurement models to assess the level of capacity of countries.In this paper, we first select the original data of 13 indicators from 106 countries and use entropy method to determine the weight of these 13 indicators.On this basis, a global equity index evaluation system model based on TOPSIS is established to score the fairness of these countries.In view of the future development of asteroid mining industry, we analyze the possibility of asteroid mining in the future from three aspects: capital, technical capacity and mineral trade.
Analysis of Gardening Theory and Method of Small and Micro Space -- Taking the "Blood Sacrifice to Xuanyuan Pavilion" in Guangzhou Uprising Martyr Cemetery Park as an Example

Small and micro space is a small-scale and civilian space close to citizens' daily life.It is an important part of urban green infrastructure construction.It plays a vital role in ensuring the sustainable development of cities and communities, improving residents' ecological well-being and expanding ecological space.Taking the "Blood Sacrifice to Xuanyuan Pavilion" in Guangzhou Uprising Martyr Cemetery Park as an example, this paper summarizes the landscape atmosphere, spiritual connotation and gardening art of the cemetery of martyrs by analyzing its historical background, layout conception and artistic techniques.The artificial scenery is carved hard and admirable, but the plants make the scenery into an organic and harmonious combination, which implies the meaning of the scenery.It embodies the spirit of patriotism and the gardening concept of harmony between man and nature.
A novel technique for spatiotemporal dahazing of video image

Abstract Recently video surveillance in smart city projects is becoming more and more popular. Generally, high quality image is required in video image analysis and recognition. Often bad weather conditions like atmospheric haze, fog, and smoke affect captured outdoor images and result in loss of visibility and poor contrast. In this paper, we propose a new method for a single image and video dehazing. Many complex methods are existing for removing haze from hazy images. In this paper, we propose a method that combines dark channel prior(DCP) and bright channel prior(BCP) along with a guided filtering technique to perform effectively and efficiently by spatiotemporal means in video dehazing. To extract the global atmospheric light accurately, we exploit multiple prior DCP and BCP underlying hazy images. In addition, the rough transmission map is estimated and improvised using a guided filter to get refined transmission. The experimental result shows that our proposed algorithm enhances the colour fidelity reduces the halo effect and improves the efficiency of video dehazing.
Improved Practical Byzantine Fault Tolerance Consensus Mechanism with Two-stage Verification

Blockchain technology is widely used in finance, supply chain, Internet of Things and other fields because of its advantages of anti-tampering, decentralization, and traceability.As the core factor affecting the performance of blockchain, consensus algorithm with good performance is the current research focus and goal.Aiming at the problem of insufficient performance and scalability of Practical Byzantine Fault Tolerance (PBFT), a two-stage verification algorithm is proposed.The algorithm improves the three-stage verification of PBFT into the confirmation stage and the review stage.The block contains the confirmation information of the previous block, and the block release and information confirmation are carried out synchronously, which saves the communication cost and reduces the number of communications between nodes, so that the As the system throughput increases, the impact of network scale on performance becomes smaller.The simulation shows that the performance of the algorithm is improved by 50% compared with the PBFT algorithm.After the node reaches the maximum number of connections, the algorithm is limited by the size of the node and becomes smaller, and the scalability of the system is improved.