Reviewerly/exHarmony huggingface dataset:
Impact of Social Media Advertising on Selection of Higher Education Institution: A Mediating Role of Perceived Value

Malaysia has social media penetration of 64 percent, one of the highest in Asia pacific. Marketers are of the view that Malaysian social media landscape is vibrant. In the higher education sector social media advertising have revolutionized delivering of services in a highly competing market and changed universities and the way they operate their business. This research is designed to evaluate the causal impact of social media advertising on the selection of higher education Institution in Malaysia. The focus variables in this study are social media advertising, selection of higher education institution and also the influential mediating effect of perceived value which will be tested and discussed in detail in this study to establish the level of its impact on the selection of higher education institution. Research method used was quantitative. Samples collected from 175 respondents using convenience sampling method. Data analysis in this study covered reliability test, normality analysis, descriptive analysis, utilising SPSS 17. To establish the constructs (SPSS) Exploratory Factor Analysis was used. Regression via SPSS was used to study causal impact. The research findings demonstrated that social media advertising has direct impact on the selection of higher education institution and also impacts perceived value. This research also found with valid and supported evidence that perceived value does impact among social media advertisements and selection of higher education institutions successfully establishing what this research set out to accomplish.This research was conducted appropriately and precisely as required. However, there were some limitations faced in the process which were shed light on and brought to discussion in the paper.
Su alcuni metodi applicati a grammatiche di italiano per polacchi tra il XIX e il XX secolo

On some methods applied to Italian grammars for Poles between the 19th and 20th centuries The article aims to compare and analyse Italian grammars and manuals for Polish users published between the second half of the 19th century and the beginning of the 20th century. The purpose is to observe the general trends on the methods proposed, the changes taking place and the possible influences on teaching of Western languages as foreign languages in a historical moment when after the Third Partition Poland had ceased to exist as a sovereign state.
METHODICAL TRAINING OF A FUTURE PHYSICS TEACHER TO USE EXPERIMENTAL TASKS IN TEACHING SCHOOLCHILDREN

M. Dammer 1, I. Bespal1, O. Bochkareva1, N. Bochkareva2, V. Kudinov 1 1South Ural State Humanitarian-Pedagogical University (RUSSIAN FEDERATION) 2Moscow Pedagogical State University (RUSSIAN FEDERATION)
A class of two or three weights linear codes and their complete weight enumerators

In the past few years, linear codes with few weights and their weight analysis have been widely studied. In this paper, we further investigate a class of two-weight or three-weight linear codes from defining sets and determine their weight and complete weight enumerators by application of the theory of quadratic forms and some special Weil sums over finite fields. Some punctured codes of the discussed linear codes are optimal or almost optimal with respect to the Griesmer bound. This paper generalizes some results in \cite{ZhuXu2017,Jian2019}.
Theoretical Framework on the Role of Knowledge Management for Students on Academic Performance

Knowledge management is a developing sector that has received lots of consideration and support from the community which is industrial. Knowledge management is a young academic field which has not been built up a systematized and unified framework. This paper reviews the role of knowledge management for students on academic performance by using the structural equation modeling. Through applying knowledge management in the study process can help students to gain better results. As a result, it can be expected to shed light on the relative importance of knowledge management on students’ academic performance. Keywords: Knowledge management, Academic performance, digital economy DOI: 10.7176/IKM/11-2-05 Publication date: March 31 st 2021
Instruments for the meditation of psychopegagogical evaluation: a sistematic revision

Colombian context needs protocols, practices and appropriate systematic exercises for psychopedagogcal evaluation, this leads to then use of foreigner instruments, these omit numerous relevant aspects ofthe teaching and learning process. For this reasons, a systematic reviewn was made, the dimensions, categories, kinds of studies, between other variable associated with the psychopedagogical were observed, on Ibero-America investigations the last 10 years, with student population, since pre escolar until senior year. The psychopedagogical investigation on Ibero-America presents more productions in the Spanish languageaccord to the study results, that along with other conclusions, standout: Dialnet plus is a data base with the biggest productions of quantitative studies about psychopedagogical evaluation, while the one with theleast is Scielo. In production by regions, Spain leads the largest text production, followed by South America and Central America. To conclude, the understanding of teaching and learning process is advanced due tothe psychopedagogy, however, for the academic benefit, the interest on specific variables that add integrally to the phenomenon must keep going.
Uncertainty quantification using martingales for misspecified Gaussian processes

We address uncertainty quantification for Gaussian processes (GPs) under misspecified priors, with an eye towards Bayesian Optimization (BO). GPs are widely used in BO because they easily enable exploration based on posterior uncertainty bands. However, this convenience comes at the cost of robustness: a typical function encountered in practice is unlikely to have been drawn from the data scientist's prior, in which case uncertainty estimates can be misleading, and the resulting exploration can be suboptimal. We present a frequentist approach to GP/BO uncertainty quantification. We utilize the GP framework as a working model, but do not assume correctness of the prior. We instead construct a confidence sequence (CS) for the unknown function using martingale techniques. There is a necessary cost to achieving robustness: if the prior was correct, posterior GP bands are narrower than our CS. Nevertheless, when the prior is wrong, our CS is statistically valid and empirically outperforms standard GP methods, in terms of both coverage and utility for BO. Additionally, we demonstrate that powered likelihoods provide robustness against model misspecification.
Configurable Test Doubles

Chapter 8 covered the details of creating test doubles and using them during automated unit tests, describing how to define a test double either as a subclass inheriting from a base class or as a class implementing an interface. This chapter introduces configurable test doubles.
Utilization of journals - a survey of university libraries in South Karnataka: A brief profile

Brief profile of the Bangalore University (BU), University of Mysore (UoM), Rajiv Gandhi University of Health Sciences (RGUHS) and Tumkur University (TU).
SegVisRL: Visuomotor Development for a Lunar Rover for Hazard Avoidance using Camera Images

The visuomotor system of any animal is critical for its survival, and the development of a complex one within humans is large factor in our success as a species on Earth. This system is an essential part of our ability to adapt to our environment. We use this system continuously throughout the day, when picking something up, or walking around while avoiding bumping into objects. Equipping robots with such capabilities will help produce more intelligent locomotion with the ability to more easily understand their surroundings and to move safely. In particular, such capabilities are desirable for traversing the lunar surface, as it is full of hazardous obstacles, such as rocks. These obstacles need to be identified and avoided in real time. This paper seeks to demonstrate the development of a visuomotor system within a robot for navigation and obstacle avoidance, with complex rock shaped objects representing hazards. Our approach uses deep reinforcement learning with only image data. In this paper, we compare the results from several neural network architectures and a preprocessing methodology which includes producing a segmented image and downsampling.
Особливості конфліктності працівників ДСНС України з різним рівнем особистісної автономії

International scientific and practical conference «Pedagogy and Psychology in the Modern World: the art of teaching and learning» : conference proceedings, February 26–27, 2021. Riga, Latvia : «Baltija Publishing». 444 pages.
Developing Integrated Teaching Capacity Following STEM Educational Orientation for Pedagogical Chemistry Students

The development of integrated teaching capacity following STEM educational orientation for students of Universities of Education in Vietnam is being concerned. Through surveying 104 Chemistry teachers in high school in Dak Nong province, 76 Chemistry teachers in Thua Thien- Hue province, 112 Chemistry teachers in Thai Nguyen province- the school years 2018-2019 and 2019-2020 with different awareness levels of integrated teaching, and survey on improvement needs for integrated teaching capacity under STEM educational orientation as well. The reality of the awareness and improvement needs in integrated teaching under STEM educational orientation of Chemistry teachers in high schools shows that the addition of the theoretical basis for integrated teaching, STEM education and application in the teaching process to form an integrated teaching capacity for students is very necessary. Based on the survey results and the basis of determining the structure of integrated teaching capacity, we have identified an integrated teaching capacity framework and proposed methods to develop integrated teaching capacity using STEM educational orientation for pedagogical chemistry students. We conducted pedagogical experiments on third-year and fourth-year students-the formal educational training program concentrated at the university of Education-Thai Nguyen University (215 students) and University of Education-Hue University (182 students) with 03 integrated teaching topics. Evaluating the progress of each student group about the designing capacity in integrated teaching topics and products for integrated teaching topics; evaluating the integrated teaching capacity of pedagogical students through the questionnaire. Experimental results after statistical processing show the effectiveness and feasibility of the proposed methods.
Теоретичні аспекти проєктування безпечного освітнього середовища закладів освіти

International scientific and practical conference «Pedagogy and Psychology in the Modern World: the art of teaching and learning» : conference proceedings, February 26–27, 2021. Riga, Latvia : «Baltija Publishing». 444 pages.
Teaching Tool for Construction of Mold by Resin Mold from 3D Printer

The Tokyo Metropolitan vocational skills development center provides knowledge, techniques, and skills necessary for job search for people who found a new job, search for a job, or hope to change jobs. Plastic processing course is to provide knowledge and skill to operate injection molding machines. We developed a teaching tool for visually learning the principle of construction of mold and resin fluidity for injection molding. This tool is resin mold made from 3D printer. As a result of lesson, it was made clear that this teaching tool had the good effects for the students to understand gate characteristics of mold and to design of resin mold.
Machine Vision System for Automated Nuts Classification and Inspection

This paper presents an automated nuts classification and inspection system. The nuts are automated feeding by a mechanical system and their images are captured by a 2-D imaging system each time a nut passing through. The 2-D vision algorithm is developed to classify the nuts and detect the defect on their surfaces. The feasibility and effectiveness of the developed system are verified experimentally. The results indicate that the system can accurately classify the nuts and inspect the defect on them. In the experiments, the accuracy of the classification exceeds 99% and the accuracy of inspection exceeds 92%.
《표준한국어》교재 쓰기 영역 분석

The purpose of this study is to analyze the writing area of the 《Standard Korea n》textbook for school-age students. As a result, there were areas where the subject matter of the writing field did not match the writing achievement standards of the Korean language (KSL) curriculum. As for the writing type, the proportion of controlled writing was large, and the proportion of guided writing and free writing were presented less, and the subject of free writing was limited to such as'diary','text message', and'hope for the future'. Could. Therefore, it is necessary to induce writing by suggesting materials that meet the achievement standards of the Korean language (KSL) curriculum, and materials for free writing should deal with not only the subject matter of daily life, but also issues, topics, and social events.
A Design Process of Visual Analytics Applications using Conceptual Graph

State-of-the-art visual analytics techniques in application domains are often designed by VA professionals over qualitative requirement collected from end users. These VA techniques may not leverage users' domain knowledge about how to achieve their analytical goals. In this position paper, we propose a user-driven design process of VA applications centered around a new concept called analytical representation (AR). AR features a formal abstraction of user requirement and their desired analytical trails for certain VA application, and is independent of the actual visualization design. A conceptual graph schema is introduced to define the AR abstraction, which can be created manually or constructed by semi-automated tools. Designing VA applications with AR provides a shared opportunity for both optimal analysis blueprint from the perspective of end users and optimal visualization/algorithm from the perspective of VA designers. We demonstrate the usage of the design process in two case studies.
Hyperspectral Imaging for Ink Mismatch Detection

&lt;b&gt;The discovery of ink mismatch provides important clues to pre-writing examiners to indicate whether a particular manuscript is written by a specific pen, or if a particular part of a note (e.g., signature) is written on a different ink compared to any other ink. In this paper, we show that the hyperspectral image (HSI) of the handwritten notes differs between visually similar inks. For this purpose, we have created the first hyperspectral data domain for a handwritten image in various blue and black inks, containing 33 visual reference bands. In unsupervised clustering technique, visual responses of inks fall into different groups to allow the separation of two different inks from the text of the questions. The same method when used in the RGB scan of these outputs fails to accurately distinguish the ink because it is very difficult to separate the ink from the optical range. HSI overcomes RGB deficiencies and allows better discrimination between inks.&lt;/b&gt;
REALIZING A DYNAMIC SIGN LANGUAGE RECOGNITION FOR DEAF-MUTE’S EDUCATION

Background & Motivation: Sign language is the primary way for deaf-mutes to communicate with ordinary people. However, classroom teaching for the deaf-mute faces communication difficulties because of the lack of teachers who master sign language. Therefore, automatically recognizing sign language by artificial intelligence technology (AIT) can help teachers understand the expressions of deaf-mutes, thereby helping teachers better complete deaf-mutes teaching. Therefore, we can solve the problem of lacking sign language teachers in deaf-mutes education by AIT.Methods: This paper proposes a multimodal dynamic sign language recognition method based on a 3D convolutional neural network with Time-Space Pyramid Pooling block, which is named TSPP-C3DNet. The method in this paper mainly includes two stages. In the first stage, we train the two models in an end-to-end manner using RGB and depth video to reduce the time and space complexity of overall network calculation. In the second stage, the model trained in the first stage is used to extract RGB and depth video features, respectively. The overall model is trained by using multimodal features in the form of joint fine-tuning. Results: The results were tested using different scales (The video frames are 16, 32, 48 and 64, respectively) and obtain high recognition accuracy for 100 vocabularies on the Chinese Sign Language (CSL) dataset. In particular, the accuracy of TSPP-C3D (32-frame) was 88.63% higher than the best result of C3D (32-frame), which was 11.03% higher. The experimental results further demonstrate our method's effectiveness, and TSPP-C3DNet can effectively recognize complex sign language through larger video sequence data. Conclusion: This paper proposes a multimodal dynamic sign language recognition method, which can more accurately recognize dynamic sign language, thereby helping teachers understand deaf-mutes' expression and solve problems in classroom teaching for deaf-mutes.
BA^2M: A Batch Aware Attention Module for Image Classification

The attention mechanisms have been employed in Convolutional Neural Network (CNN) to enhance the feature representation. However, existing attention mechanisms only concentrate on refining the features inside each sample and neglect the discrimination between different samples. In this paper, we propose a batch aware attention module (BA2M) for feature enrichment from a distinctive perspective. More specifically, we first get the sample-wise attention representation (SAR) by fusing the channel, local spatial and global spatial attention maps within each sample. Then, we feed the SARs of the whole batch to a normalization function to get the weights for each sample. The weights serve to distinguish the features' importance between samples in a training batch with different complexity of content. The BA2M could be embedded into different parts of CNN and optimized with the network in an end-to-end manner. The design of BA2M is lightweight with few extra parameters and calculations. We validate BA2M through extensive experiments on CIFAR-100 and ImageNet-1K for the image recognition task. The results show that BA2M can boost the performance of various network architectures and outperforms many classical attention methods. Besides, BA2M exceeds traditional methods of re-weighting samples based on the loss value.
Robustness of 2 x N x M entangled states against qubit loss

Entanglement in quantum systems is usually degraded by interaction with the environment. From time to time, some parties of a multipartite entangled system may become decoherent with other parties of the system due to the interference with the environment. In this situation, it is interesting to know how much information the residual system would keep on carrying. In this paper, as a starting point for any entangled system, we investigate the property of the 2 x N x M state with qubit being disentangled, which is characterized by the measurement of robustness.
An Assessment of the Stability and Diversity of the Nigerian Financial Service Sector

In recent times, policy makers have considered the financial sector as a vital factor for growth and development in a country. So many research efforts to address the resilience and well-being of the financial system have stressed the importance of diversity in the financial system. This study assesses the stability and diversity of the financial service sector in Nigeria. The study employed the use of data from Nigeria’s commercial banks’ financial report and the Central Bank of Nigeria (CBN) statistical bulletin for the period of 13years (2005:Q1 – 2017:Q4). The study adopted the Auto Regressive Distributed Lag Estimation technique to determine the long run and short run dynamics of the variable employed and the Hirshman Herfindahl Concentration Index for financial stability and diversity respectively. These analyses provided several findings such as a negative relationship between stability and total bank asset as a result of weak corporate governance among the regulatory bodies, a positive relationship between stability and loan asset, a positive insignificant relationship between stability and Real Gross Domestic Product due to poor level of financial coverage among the entire populace and finally the analysis reveals a fairly diversified financial system. The study recommends a strict supervisory and monitoring framework from both the Asset Management Company of Nigeria (AMCON) and the Central Bank of Nigeria (CBN) in the acquisition of the asset from the commercial banks. More so, the monetary authority should direct the commercial banks to give out loans with moderate interest rate and also control the inflationary pressures that might be posed as a result of the low interest rate through other instruments and finally in order to improve diversity in the financial system, the financial institutions particularly the commercial bank should fully inculcate the global idea of financial technology to deliver better financial service through technology solutions and also keep itself abreast of the pace of development in foreign countries financial service sector as this will gear them towards delivering better and innovative service to Nigerians.
School Libraries Dynamics

&#x0D; &#x0D; &#x0D; How can a school library shorten the distance between institutions, professionals, students and teaching methods? How can a Teacher Librarian and a School Libraries Inter-district Coordinator cooperate to conceptualize new strategies, expand students’ learning experiences and reinforcing their involvement with the school library? How important is it for students to engage in different reading activities with partners from other European countries? How can a “Reading Plus Project” evolve to a “National Merit Idea Project” and to a “Comenius Project”, where the role of the school library as an open door to intercultural competences is emphasized? How can we take advantage of the new technologies to modernize the school library and promote digital literacy? With this paper we aim to give an example of good practices in school libraries in Portugal, hopefully giving inspiration to others to overcome barriers inside and outside their country.&#x0D; &#x0D; &#x0D;
SISTEM INFORMASI PPDB ONLINE DI YAYASAN PENDIDIKAN CENDANA RIAU

SMA Cendana Pekanbaru is a school under the auspices of the Riau Cendana Education Foundation. It is one of the private schools that implements an online student admission system. The New Student Admissions Information System (PPDB) is able to provide support for the management through an online system. It makes the storage media integrated so that administrative data can be searched quickly, precisely, and accurately. It avoids the possibility of data misinformation. This study aims to analyze and describe the implementation of the PPDB Online system and the supporting factors for the online PPDB system at SMA Cendana Pekanbaru. The type of this research is descriptive qualitative, with data collection techniques and procedures consisting of documentation, observation, and interview. From the research, it can be found that there are almost no significant obstacles to implementing the system at SMA Cendana Pekanbaru. The main factors supporting the implementation are the principal's leadership, human resources, strategy and technology resources, and cost resources.