Reviewerly/exHarmony huggingface dataset:
OH-Former: Omni-Relational High-Order Transformer for Person Re-Identification

Transformers have shown preferable performance on many vision tasks. However, for the task of person re-identification (ReID), vanilla transformers leave the rich contexts on high-order feature relations under-exploited and deteriorate local feature details, which are insufficient due to the dramatic variations of pedestrians. In this work, we propose an Omni-Relational High-Order Transformer (OH-Former) to model omni-relational features for ReID. First, to strengthen the capacity of visual representation, instead of obtaining the attention matrix based on pairs of queries and isolated keys at each spatial location, we take a step further to model high-order statistics information for the non-local mechanism. We share the attention weights in the corresponding layer of each order with a prior mixing mechanism to reduce the computation cost. Then, a convolution-based local relation perception module is proposed to extract the local relations and 2D position information. The experimental results of our model are superior promising, which show state-of-the-art performance on Market-1501, DukeMTMC, MSMT17 and Occluded-Duke datasets.
MEDIA PEMBELAJARAN INTERAKTIF UNTUK ANAK SEKOLAH MINGGU PADA GKE SINTA PARARAPAK

Sunday School is a mentoring child's faith that is usually held on Sunday, this activity is to teach the basic Christian religion to the children of Sunday School with the delivery of material about Christianity according to the content of The Bible includes the introduction of Christian songs that are packed simple so it is easy to understand. But in the teaching and learning activities of Sunday School, the way teachers convey a message in the Bible is to tell. The conventional learning process and the limitations of props and take a long time to delivery the material.&#x0D; In conducting this thesis research there are two methods used by the authors, which include methods of data collection and methods of system development. The data collection methods are observations, interviews, references, documentation, and questionnaires while the method of developing the author system is the development method of MDLC (Multimedia Development Life Cycle), and to design using UML (Uniefied Modelling Language).&#x0D; The final result of this thesis study is the interactive learning media for the Sunday school children that can be used by children for Christian religious activities. Based on user's response to the interactive learning Media for Sunday school children is 80,4%.
La importancia del pedagogo en la elaboración de contenidos para la Educación a Distancia

The objective of this article is to evaluate the need to have a pedagogue who works together with the specialist in the subject when developing the contents, activities and materials carried out for a Distance Education System (SED), especially in the Institutions of Higher Education, using the theory of interaction and communication as a framework. It was found that the intervention of a pedagogue in the detailed elaboration of the thematic contents and learning activities is vital for the educational process to be really effective, as well as it must intervene in the training of the specialists involved, and advise the choice of learning assessment strategies, one of the most complex and debated areas in a remote system, therefore, it is concluded that a specialist in collaboration with a pedagogue can make the materials really meaningful and effective as transmitters of knowledge and skills .
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration

Curiosity-based reward schemes can present powerful exploration mechanisms which facilitate the discovery of solutions for complex, sparse or long-horizon tasks. However, as the agent learns to reach previously unexplored spaces and the objective adapts to reward new areas, many behaviours emerge only to disappear due to being overwritten by the constantly shifting objective. We argue that merely using curiosity for fast environment exploration or as a bonus reward for a specific task does not harness the full potential of this technique and misses useful skills. Instead, we propose to shift the focus towards retaining the behaviours which emerge during curiosity-based learning. We posit that these self-discovered behaviours serve as valuable skills in an agent's repertoire to solve related tasks. Our experiments demonstrate the continuous shift in behaviour throughout training and the benefits of a simple policy snapshot method to reuse discovered behaviour for transfer tasks.
Pengenalan Media Pembelajaran Online Kreatif Di Tengah Pandemi Covid-19 Pada Panti Asuhan Putri Aisyiyah Wilayah Riau

The target of the training activity is the young women of the Aisyiyah Women's Orphanage. Children are expected to be able to increase their insight and ability to understand learning in online teaching and learning activities. Although specifically the problem for orphanage children is the weakness of strengthening the ability to master learning materials quickly (Quantum Learning) and soft skills. In addition, this activity can also motivate orphanage children to be more creative, innovative and independent. This community service activity method uses the lecture method by the presenters and direct demonstrations are practiced by the participants, as well as a question and answer session. The introduction of creative online learning media using the Google Classroom application is very inspiring in learning and teaching innovation. By mastering a number of new skills by trainees, it will also have an impact on increasing learning achievement in schools which are now carried out online
A Survey on the Present State-of-the-Art of Sentiment Analysis Methods

Of late, social media has started generating unprecedented data which became a goldmine for researchers and business organizations. The proliferation of Online Social Networking (OSN) applications paved way for people to socialize and opine freely. Thus the data on OSN assumed importance as the opinion of people can influence businesses or help them to know sentiment of people. This knowhow can help organizations to have better strategies to promote customer satisfaction with increased Quality of Service (QoS). Sentiment analysis thus became indispensable part of decision making systems of enterprises as it can provide required Business Intelligence (BI). Though there has been considerable research on this area, it is still open to opportunities, possibilities and optimizations. This paper throws light into the present state-of-the-art of sentiment analysis and finds gaps in the research. It tries to cover the landscape of the subject in terms of lexicon-based methods, knowledge-based approaches, machine learning techniques, classification strategies, ontology-based methods, aspect oriented method and semantic approaches found in the literature in the study of sentiment analysis. This paper also includes study on sentiment analysis in social media such as Twitter and Facebook, real time applications of sentiment analysis besides various measured employed as part of sentiment analysis methodologies. It provides useful insights on various aspects of sentiment analysis that leverage Information Retrieval (IR), Data Mining (DM) and expert systems where BI is extracted and interpreted for making well informed business decisions.
Data Collection and Application of COVID-19 in Medium-Sized Cities—Taking Macau as an Example

Convenient transportation and the large flow of residents in the city give rise to the wide spread of COVID-19.Data collection plays a crucial role in determining the effectiveness of the control of the pandemic.The pandemic is not only a serious problem in large cities, but also hitting medium-sized cities. Macau is a typical medium-sized city where the pandemic has been under effective control with comprehensive data collection.This thesis will conduct in-depth research on the collection and application of the statistics about COVID-19 in Macau.Macau collects data through the border, incorporating NAT (nucleic acid testing) data and health codes into daily-used mobile applications, which features a network with real-time updates and sharing.This thesis will connect to the construction of smart cities to provide ideas for handling large-scale public health issues in medium-sized cities.
Comparative Analysis of Eosin-based Fluorescence Microscopy of Non-neoplastic Breast Tissue and Fibroadenoma

Background: Fibroadenoma (FA) is one of the most frequently diagnosed benign neoplasm in women. Various researches have reported increased risk of breast cancer in females with FA. It stems from the proliferation of epithelial and stromal contents of the terminal duct lobular units (TDLU`S) of breast tissue, that are the primary sites for the histopathologic assessment which is the gold standard for the diagnosis of disease. However, this method is subjective and possess interobserver variability. Therefore, new quantitative methods are required to aid in diagnosis. Hence we evaluated fluorescence light intensity and its use in histopatholgic evaluation.&#x0D; Aim: The goal of this research was to compare and quantify red and green fluorescence light intensities of ductal cells and stroma of non-neoplastic breast tissue with fibroadenomatous tissue.&#x0D; Method: A cross-sectional study was done in the Cell biology and histology lab of Ziauddin University. 44 slides of normal breast tissue and 44 slides of diagnosed fibroadenomatous tissue were taken from Dr Ziauddin Hospital, North Campus. Hematoxylin and eosin (H&amp;E) staining of the slides were done following standard protocols. On microscopic examination, the changes in light intensities of ductal cells and stroma of normal breast tissue and fibroadenoma were quantified using dual channel fluorescence microscopy using Nikon NIS imaging software.&#x0D; Results: The results demonstrated statistically significant increase (p-value &lt;0.05) in mean red (37.22±5.9) and green (22.47±6.6) light intensity of stroma in FA when compared with red (32.71± 6.7) and green (17.01±4.3) light intensity of normal breast tissue. Whereas, R/G ratio for normal tissue was higher (1.95±0.11) than R/G for FA (1.74±0.37) with a p value of &lt;0.05. Similarly, for ductal cells; statistically significant (p value &lt;0.05) increase in mean red (38.86±5.4) and green (15.54±2.51) light intensity for FA was found when compared with red (29.62±1.89) and green (12.60±1.67) intensity of normal tissue. R/G ratio for FA (2.5±0.24) was compared to be higher than normal tissue (2.36±0.3) with a p value of &lt;0.05.&#x0D; Conclusion: The study suggests that fluorescence microscopy combined with quantitative assessment fluorescence light intensities may may be a helpful tool for histomorphic evaluation of the breast tissue.
매체 한국어 교육과정 개발을 위한 외국인 유학생 요구 조사 연구

The purpose of this study is to investigate the needs of foreign students for a media Korean language curriculum and to derive implications for the development of the curriculum. This study aims to discuss the Korean language curriculum, which is a medium that educates the Korean language based on media and develops the ability to acquire and produce new information, beyond passive media utilization. The ultimate purpose of the media Korean language education proposed in this study is to foster media literacy that allows the use of Korean critically and creative communication. The contents of the education consist of four areas: approach and utilization, critical acceptance, creative calculation, and multimedia communication. In this study, 121 foreign students were surveyed on the demand for the development of a Korean language curriculum to developm Korean language media literacy, the demand for four education areas, and the demand for media types. The results show that every question has a high need and demand. These findings could be used as a basis for the development of a more advanced media Korean language curriculum. (Korea University)
End-to-End Partially Observable Visual Navigation in a Diverse Environment.

How can a robot navigate successfully in a rich and diverse environment, indoors or outdoors, along an office corridor or a trail in the park, on the flat ground, the staircase, or the elevator, etc.? To this end, this work aims at three challenges: (i) complex visual observations, (ii) partial observability of local sensing, and (iii) multimodal navigation behaviors that depend on both the local environment and the high-level goal. We propose a novel neural network (NN) architecture to represent a local controller and leverage the flexibility of the end-to-end approach to learn a powerful policy. To tackle complex visual observations, we extract multiscale spatial information through convolution layers. To deal with partial observability, we encode rich history information in LSTM-like modules. Importantly, we integrate the two into a single unified architecture that exploits convolutional memory cells to track the observation history at multiple spatial scales, which can capture the complex spatiotemporal dependencies between observations and controls. We additionally condition the network on the high-level goal in order to generate different navigation behavior modes. Specifically, we propose to use independent memory cells for different modes to prevent mode collapse in the learned policy. We implemented the NN controller on the SPOT robot and evaluate it on three challenging tasks with partial observations: adversarial pedestrian avoidance, blind-spot obstacle avoidance, and elevator riding. Our model significantly outperforms CNNs, conventional LSTMs, or the ablated versions of our model. A demo video will be publicly available, showing our SPOT robot traversing many different locations on our university campus.
Non-linear educational practices of students of Russian universities in conditions of social uncertainty

The study of Russian students’ non-linear educational practices is necessary to understand the changes taking place in university youth’s qualitative characteristics. The article is aimed at studying new non-linear educational practices carried out by students of Russian universities. To achieve this goal, the author determines the concepts of linear and non-linear educational practices for the students are determined. The specificity of non-linear educational practices is revealed, and their classification is carried out.
SCL-BASED LEARNING FOR STUDENTS IN ANSWERING ENGLISH TEXT QUESTIONS ON PACKAGE B AND C IN THE SPECIAL CHILDREN'S INSTITUTION OF KUPANG CITY

The lessons for Adult Education (B and C Package) at the juvenile penitentiary  are learning that is equivalent to the teaching and learning process in formal schools. B Package is equivalent to Junior High School and C Package is equivalent to Senior High School. Learning activities in class for students need to be changed so that student participation is very important in understanding and answering the reading comprehension. Exercises in reading texts and answering the questions correctly are activities that can increase student activity and participation. Students work on the questions by reading and translating difficult words in the reading so that they can be understood and help students answer questions according to the content of the reading. Students also study and discuss  in groups of 5 student and discuss together to answer questions. The discussions that were carried out were successful in making students understand the material and be able to work or answer questions in English properly and correctly. Students can learn from their own friends and understand better if their friends explain so that it can increase motivation in learning. The learning activities of B and C Package's students more active. The students have the opportunity to learn from each other  and with simple language, difficult English materials can be worked out well. Problem-based learning is one part of student- learning problem but it cannot increase activeness and participation and is unable to solve learning problems in class, so a change in the learning model is made, namely the small group discussion. The Small Group Discussion model was used in learning at LPKA Penfui Kupang.
Evaluating creative imagination: A narrative enquiry on virtual reality content under the lens of practice-based and heuristic research

Interaction with art through digital technology is not a very recent research inquiry. In the mid-1960s, technology-based art emerged, and by 1980 onwards, experimental art and technology had grown remarkably. To bring practice and research closer to technology, art, and design, researchers have deepened their knowledge of the creative process in art and technology. On the other hand, to develop the technology blended practice required an educational base from the stage of schooling. Virtual reality (VR) is one of the platforms that could help to learn and explore new idea as well as create a new dimension for creativity practice.  Inclusion of art teaching and learning VR technology required to verify and evaluate its usability. Heuristic research undertakes exploration of human experience in a qualitative manner. It is a systematic, organized method for investigating human lived experience. The VR content required a significant evaluation criteria on development of content and usability of contentThis study focusing on the behavior of the VR content and its proximity towards practice and usability. The study following descriptive methodology to create a synergy within practice-based research, heuristic criteria, and activity system.
Developing A Service Software Wsn For The Process Of Block Chain.

Software as a service depend on network of wireless sensor are enter into many problems like efficiency of prize, enhancement of less power, authentic information transmission between joints and safety. These problems are very challenging in the area of wireless sensor networks. And next the block chain is considered as the important realm in this century. block chain has rectified these problem comes by wireless sensor networks. Example, protecting the information transmission and reliable things. Because of safety problems, many people persuade the block chain into the wireless sensor network. The experts introduce a new design to escape the falsification threats and also to protect the information transmission by using the materials of block chain. Again they introduce a intensify model of stack as a proof and authority as a proof to concord the process and also to increase a latest joint in the construction of web. Furthermore, this new invention also created to inquiry the mechanism of connection. The reflection of block chain also created to store the price of transaction and to control the rate.
English language speaking self-efficacy of students in Univerisiti Teknologi Mara (UiTM) Seremban 3 / Abdul Rahman Arif Azhari and Nuratikah Abdul Razak

English Language has become extra important in Malaysia as employers prefer employees to be more proficient in the English Language command. However, studies have shown that students are not able to speak confidently in English. This study was conducted using a self-administered questionnaire that consists of 32-itemed. The questionnaire was disseminated to 255 Diploma undergraduates taking the Integrated Language Skills III in UiTM Seremban 3. The result showed FSKM (M=3.697) had highest average total mean score for speaking self-efficacy. There was a significant difference in the self-efficacy between the behaviour of the students (p-value < 0. 05). It is indicated that the students with low efficacy score do not speak English at home. Based on the Multiple Linear Regression (MLR), there were seven factors that affected the student's performance which are FSPPP, FSKM, Central, Sabah, Others, number of siblings, CGPA and Speak English at home. The highest contributing factor was CGPA (/3 = 2.400). The implication of these findings were discussed with respect to improve self-efficacy among students to speak English as well as important aspects that influence them.
PENGEMBANGAN MEDIA PAPAN BALIK (FLIPCHART) UNTUK MENINGKATKAN KEMAMPUAN BACA ANAK BERKEBUTUHAN KHUSUS DENGAN HAMBATAN AUTIS DI SEKOLAH INKLUSI

This study aims to produce flipchart media products to improve the reading ability of children with special needs with autism in inclusive schools. Because education is the right of every child. Therefore, children with special needs with autism have the right to receive learning according to their conditions. This research method uses research and development methods with a 4-D cycle (define, design, develop and disseminate). The subjects of this study were 6 students with special needs with autism at SD Muhammadiyah, Tulangan sub-district Sidoarjo. The sample of 6 students was selected based on categories, 2 students with mild autism and reading difficulties, 2 students with moderate autism and reading difficulties and 2 students with severe reading difficulties. The results of the study are as follows: (1) the material from the flipchart media developed is declared very feasible with a percentage value of 85.5%. (2) the results of the percentage value of media flipchart get a value of 83.75% with a decent category. (3) the test of the effectiveness of the developed flipchart media obtained a percentage value of 83.33%, a significance value of 0.000 &gt; 0.05 so that there was a significant difference between the pre-test and post-test. Through the n-gain test, the score was obtained 0.33 which means the effect of the application is categorized as 'medium'. It can be concluded that the flipchart media developed had a positive effect on the reading ability of students with special needs with autism at SD Muhammadiyah Tulangan Sidoarjo.&#x0D; Keywords: Reading Ability, Flipchart Media, Autistic Child, Inclusive School
Knowledge Extraction from Open Data Repository

The explosion of affluent social networks, online communities, and jointly generated information resources has accelerated the convergence of technological and social networks producing environments that reveal both the framework of the underlying information arrangements and the collective formation of their members. In studying the consequences of these developments, we face the opportunity to analyze the POD repository at unprecedented scale levels and extract useful information from query log data. This chapter aim is to improve the performance of a POD repository from a different point of view. Firstly, we propose a novel query recommender system to help users shorten their query sessions. The idea is to find shortcuts to speed up the user interaction with the open data repository and decrease the number of queries submitted. The proposed model, based on pseudo-relevance feedback, formalizes exploiting the knowledge mined from query logs to help users rapidly satisfy their information need.