Reviewerly/exHarmony huggingface dataset:
Application of Android-Based Mobile Learning Information System in Management of Learning Activities in Faculty of Science and Technology of Buddhi Dharma University

&#x0D; &#x0D; &#x0D; &#x0D; Teaching and learning activities, especially in Higher Education, from time to time develop along with the development of technology, especially information technology. Initially, the teaching and learning activities at the Faculty of Science and Technology of the Buddhist Dharma University (FST-UBD) used a manual system in the form of face-to-face class. The system (for several courses and meetings) developed into distance learning (e-learning) where lecturers and students did not meet in teaching and learning activities in the classroom but through the internet media. This distance learning system uses computer or laptop facilities. The e-learning system was developed into a mobile learning system, which is a distance learning system using an Android-based smartphone. In the mobile learning system, lecturers can provide lecture material and assignments to students. Students can view lecture material via cellphone and can download the material. Students can submit assignments to lecturers via cellphone. The University can provide information about the seminar to be held. Students can choose the seminar to be followed and can register for the seminar via cellphone. This application system can be run well and can help facilitate the process of teaching and learning activities for lecturers and students. Lecturers can upload material and assignments for students. Students can view / download material and submit assignments to the lecturer. The university can provide information about the seminar and the seminar registration process.&#x0D; &#x0D; &#x0D; &#x0D;
Sensitivity of ultrasonography in predicting benign and malignant masses of breast lump at a tertiary care hospital with its cytological and histological correlation

Introduction: Worldwide, breast cancer is the most-common invasive cancer in women.It affects 1 in 7 (14%) of women worldwide.Breast cancer comprises 22.9% of invasive cancers in women and 16% of all female cancers the number of cases worldwide has significantly increased since the 1970s, a phenomenon partly attributed to the modern lifestyles.Breast cancer is strongly related to age with only 5% of all breast cancers occurring in women under 40 years old.Breast cancer screening is the medical screening of asymptomatic, apparently healthy women for breast cancer in an attempt to achieve an earlier diagnosis.The assumption is that early detection will improve outcomes.A number of screening tests have been employed, including clinical and self-breast exams, mammography, genetic screening, ultrasound, and magnetic resonance imaging.Supplemental screening ultrasound has the potential to depict early, node-negative breast cancers not seen on mammography, and its performance is improved, if anything, in dense parenchyma.Methods that improve detection of small, node-negative cancers should further reduce mortality when performed in addition to screening mammography.Materials and Method: This is a retrospective study spanning over a period of 1 year including females in the age of 15 -80 years presenting with palpable breast lumps.All the females were examined clinically, radiologically with aid of ultrasonography, followed by cytopathological examination and following the excision of mass correlation with histopathological diagnosis.A concordance was determined between the radiological, cytopathological and histopathological diagnosis to find the utility of ultrasonography in detecting lesions.Observation: In this study we found that using an investigation tool that is ultrasonography the sensitivity of detecting a lesion correctly as benign or malignant lesions, which is confirmed with histopathology and preliminary on cytopathology is 78.48%.Conclusion: Breast cancer is a serious health hazard to millions of females and requires early detection for early diagnosis and treatment.Triple test in itself is an excellent diagnostic approach.However, in a setting due to lack of mammography a subjunctive tool like ultrasonography can help in assisting the diagnosis of breast lesions.
Realization of Yanus Korchak ideas in the scientific works of students of pedagogical universities

The author addresses the pedagogical heritage of the outstanding humanist educator of the twentieth century - Janusz Korczak. The article attempts to comprehend the basic conceptual ideas of Janusz Korczak from the perspective of modern requirements for the methodology of new education by attracting students to independent scientific creativity. The pedagogy of Janusz Korczak and its methodology are characterized in the context of the popularization and continuity of the ideas of humanism in1 Lyubov A. Kochemasova, Cand. Ped. Sci., Associate Professor of Pedagogy and Sociology Department.modern education. The article presents the priority areas of the competition for the implementation of the ideas of the humanist pedagogue about the self-worth of childhood, which determined the importance of the child’s right to respect, the special attention is paid to the set of rights of the child, ensuring its full development, allowing students to reveal the main provisions of the pedagogical concept and the modern context of pedagogy of Janusz Korczak. The positions of leading scientific researchers (R.A. Valeeva, I.D. Demakova, M. Kaminsk, A. Levin, I. Neverli, M. Mikhalak, etc.) are examined which develop the ideas of the teacher, analyze the problems of the theory and practice of education in the pedagogical concept of Janusz Korczak. The practical significance of the research lies in the direction of its results in improving the scientific creativity of students through the implementation of the ideas of Janusz Korczak in the international competition of research and creative works of students "In the world of wise thoughts of domestic and foreign scientists and teachers." The practical significance of the research lies in the direction of its results in enhancing students ’scientific creativity by implementing the pedagogical ideas of Janusz Korczak in the international competition of students’ research and creative works “In the world of wise thoughts of domestic and foreign academic teachers”. The presented research results can be used in higher educational institutions of Russia to solve the problems of increasing the research activities of students by reading the new pedagogical heritage of Janusz Korczak. The article will be interesting to students of educational institutions of higher education (undergraduate, graduate level), representatives of higher education, graduate students
El podcast en el desarrollo de las habilidades orales en estudiantes de Inglés como lengua extranjera

The main purpose of this action research was the study and application of podcast as a didactic strategy to promote the development and improvement of speaking skills in English as a Foreign Language as well as listening comprehension, in a small group of students of the Academia Angloamericana in Merida-Venezuela. For the development of this research, theoretical criteria such as Student’s podcast, M-learning and Mobile Assisted Language Learning (MALL) were taken into consideration. The instruments to collect the data were the mixed questioner, the Likert scale and the rubric. For this study, there were a total of 7 English Foreign Language’s students and the results obtained showed an improvement in their speaking skills of the English language through the podcasts that they created themselves as well as the development of students’ autonomy in their learning process.
HPPD: A Hybrid Parallel Framework of Partition-based and Density-based Clustering Algorithms in Data Streams

Data stream clustering refers to the process of grouping continuously arriving new data chunks into continuously changing groups to enable dynamic analysis of segmentation patterns.However, the main attention of research on clustering methods till now has been concerned with alteration of the methods updated for static datasets and changes of the available modified methods.Such methods presented only one type of final output clusters, i.e. convex or non-convex shape clusters.This paper presents a novel two-phase parallel hybrid clustering (HPPD) algorithm that identify convex and non-convex groups in online stage and mixed groups in offline stage from data stream.In this work, we first receive the data stream and apply pre-processing step to identify convex and non-convex clusters.Secondly, apply modified EINCKM to present online output convex clusters and modified EDDS to present online output non-convex clusters in parallel scheme.Thirdly, apply adaptive merging strategy in offline stage to give last composed output groups.The method is assessed on a synthetic dataset.The output results of the experiments have authenticate the activeness and effectiveness of the method.
Robust multi-vendor breast region segmentation using deep learning

Semantic segmentation of breast images is typically performed as a preprocessing step for breast cancer detection by Computer Aided Diagnosis (CAD) systems. While most literature on region segmentation is based on conventional techniques like line estimation, thresholding and atlas-based approaches, such methods may have problems with generalisation. This paper investigates a robust multi-vendor breast region segmentation system for full field digital mammograms (FFDM) and digital breast tomography (DBT) using a U-Net neural network. Additionally, the effect of adding attention gates to the U-Net architecture was analysed. The proposed networks were trained and tested in a cross-validation setting on in-house FFDM/DBT data and the public INbreast datasets, comprising over 10,000 FFDM and 3,500 DBT images from five different vendors. Dice scores were obtained in the range 0.978 - 0.985, with slightly higher scores for the architecture that includes attention gates.
ЗАСТОСУВАННЯ МЕТОДІВ ЛОГІСТИКИ В ПСИХОЛОГІЇ РОЗВИТКУ ДИТИНИ

&#x0D; &#x0D; &#x0D; In work the possibility of applying a logistic approach in educational psychology is considered. Justification of the choice of preschool age child development is a very relevant task and the subject of study of many scientists - psychologists. The work contains proposition to consider coming information as the streaming process and, accordingly, to rationalize the development system by optimizing the flow of knowledge. To justify the possible direction of child's development, it is proposed to use the method of analytical hierarchies, which allows to make decisions for multicriterial tasks. Experimental calculations based on the initial data, obtained by the observation method, allowed to make recommendations on further direction of the “chosen” knowledge flow for development of the child in accordance with his individual abilities.&#x0D; &#x0D; &#x0D;
Research on Physical Education and Cultivation of students' core literacy

Under the background of the deepening reform of quality education, modern physical education attaches more and more importance to the cultivation of students' core literacy. The cultivation of the core literacy of physical plays a significant role in the construction of the foundation for the development goal of the whole people's physical and the lifelong physical, to ensure the improvement of the national quality and optimize the structure of the national physical quality. To carry out the cultivation of the core literacy of physical education in the modern physical education system, we should stick to the main position of the class, ensure the extracurricular sunshine sports activities, and expand independent exercise outside the schoo
Instruction Modeling

This chapter describes the core ideas behind instruction modeling. A promising way to improve mathematics instruction is to import successful approaches from other countries; however, it is exceptionally difficult to do this, since instructional traditions are cultural and the volume of teaching expertise that needs to be transferred is vast. Computers offer a possible way to ease the barriers. Expert systems (invented c. 1970) are a type of artificial intelligence system that uses rules to mimic human decision-making. Following the pattern suggested by expert systems, an instruction modeler studies high-quality offline instruction and then designs computer programs that aim to recreate this instruction. Many important activities cannot be automated, and therefore instruction modeling is necessarily <italic>blended learning</italic>: some instruction takes place online, while other activities are led by classroom teachers. To illustrate these ideas, this chapter describes several instruction modeling programs created by Reasoning Mind. It also discusses Russian mathematics education, explaining why it is a successful instructional tradition and a suitable choice for instruction modeling.
Strengthening the Basic Research of Innovative Design and the Construction of Common Key Technology Platform

We will build a theoretical system of innovative design with Chinese characteristics, a digital, networked, green and intelligent design technology system. We will build a knowledge base platform for innovative design, focusing on industry-based platforms such as design knowledge database, materials science database, commercial big data and patent big data. We will push forward the all-digital simulation pilot of product design, strengthen the infrastructure of the information network, big data, cloud computing and other co-creation platforms, build a world-class broadband network and application system covering the whole country, and form an open source “customer creation” network sharing platform. We should strengthen the support of virtual reality/augmented reality/hybrid reality (VR/AR/MR) and artificial intelligence (AI) to the design technology environment and platform.
Critical Discourse Analysis on Teacher Talks in The Classroom Communication

The research objectives were at finding out how the teacher arranges her/his teacher talk in accordance with modification to teacher speech quantity of speech, explanation, question, and error correction. This research is designed in a qualitative research approach with an etnography of communication in which the researcher gathered data about verbal communication, relying on direct observation and audio-video recording. The subjects of research were the Indonesian people who used English in communication at classroom setting. In terms of teacher talk, it is found that teachers arranged their teacher talk in acordance with (1) modification to teacher speech when giving understanding, clarifying, and simplifying their speech for developing quality of teaching and learning process, (2) quantity of speech of the teachers was limited in order to give a maximum opportunity to students in the classroom communication, (3) explanation was done to give the students theoretical knowledge, (4) question was delivered to develop indepth content and teaching material, and (5) error correction was conducted to correct students’ error in any language usage and language use.
Computer Sand Art

Intuitive interactive methods for novice users to create 3D content and 3D geometry have eluded the CAGD community for several decades, and they continue to be critical yet unresolved challenges.The need for such methods is even more acute considering the fact that 3D printing is becoming a commodity.In contrast, modern geometric modeling tools are very complex and continue to be used primarily by professionals such as architects and engineers.Part of the difficulty of novice users to create 3D content might be found in the fact that input/output devices are mostly 2D.While novice users, in real life, do interact daily in 3D environments, typically, they do not create 3D content.In this work, we combine a Leap Motion device [42] / mouse+keyboard with the intuitive notion of sand art, or the creation of 3D artifacts on the seashore, using droplets of wet sand.The result is a very simple, yet highly interactive 3D modeling interface that is also demonstrated on several applications.
Samsung Galaxy A71 Review – A Powerful Mid-Range Phone

In this Samsung Galaxy A71 review, I will tell you about the pros and cons of this phone and I will tell you everything else that you need to know. ...
Diagnostic impacts of DBT and ABVS for breast cancer screening in comparison with MMG and HUS

2427 women (mean age 60.0 years; range 20-94 years) were screened with DBT and ABVS from May 2014 to December 2018. 5375 women (mean age 57.3 years; range 40-84 years) were screened with MMG and HUS from February 2004 to December 2013. Number of recall cases (rate), unidentified cases, further exams, identified outcome cases, breast cancer cases, false positive cases, positive predictive value (PPV), cancer detection rate, implementation rate of further exams (fine needle aspiration (FNA), core needle biopsy (CNB), vacuum-assisted breast biopsy(VAB)) were evaluated between two groups. The recall rate was lower in women with DBT and ABVS in comparison with women with MMG and HUS (7.9 % vs 8.2%; p&gt;0.05). Detection rate of breast cancers was higher in women with DBT and ABVS than women with MMG and HUS (1.6% vs 1.2%; p&gt;0.05). Non-cancer rate among women receiving invasive procedures was lower in women with DBT and ABVS in comparison with women with MMG and HUS (0.9% vs 1.0%; p&gt;0.05). PPV was significantly higher in women with DBT and ABVS in comparison with women with MMG and HUS (19.9% vs 14.5%; p=0.045). DBT and ABVS screening improved the cancer detection rate with significant higher PPV in comparison with MMG and HUS for breast cancer screening.
Minimum database, one flashback is all it takes

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New Exploration of College Vocal Education

In recent years, with the vigorous development of vocal art in China, vocal lessons have received more and more attention from students. Vocal education in colleges has a significant role in promoting the development of college students’ physical and mental health. It is also an important force to promote the training of college talents in the new era. However, there are still some problems that need to be resolved in China's college vocal education. This paper explores the outstanding problems in vocal education in colleges, and then combines the author’ s own practical work experience to explore some aspects of college vocal teaching concepts, teaching content, teaching methods and models.
Exploration of Constructing the Intelligent Open Sharing Platform for Experiments

This paper introduces practices and experiences of setting up the intelligent open sharing platform for experiments of the National Demonstration Center for Experimental Chemistry Education of Xiamen University, such as the construction framework, management system, operation process and operation effect, hoping to provide applicable guidance for the open management of domestic university laboratory.
Nonverbal Communication in Human-AI Interaction: Opportunities and Challenges

In recent years, we have explored the use of gaze-an important nonverbal communication signal and cue in everyday human-human interaction-for use with AI systems.Specifically, our work investigated whether an artificial agent, given the ability to observe human gaze, can make inferences on intentions, and how aspects of these inferences can be communicated to a human collaborator.We leveraged a range of humancomputer interaction techniques to inform the design of a gaze-enabled artificial agent that can predict and communicate predictions.In this paper, we include a snapshot of how AI and HCI can be brought together to inform the design of an explainable interface for an artificial agent.To conclude, we outline the challenges we faced when designing AI systems that incorporate nonverbal communication stemming from our work.
한문과 거꾸로 수업[Flipped Learning] 적용 방안

The purpose of this paper is to improve Chinese Character class in secondary school and to find the method of teaching and learning. The essence of flipped learning is that the center of class shifts from teachers to students and is a transition from passive learning to active learning out of the passive concept of learning the contents of the class in advance and means classes where the learner leads the learning.It can be said that flipped learning is a very useful method for improving Chinese Character class. Flipped learning is the breakthrough expansion of space and time of class and is a very good means to make learners interested in Chinese Character. If flipped learning is activated in Chinese Character class, the students' interest in the class will be increased and the amount of information about the learning will be increased so that the concentration on the class will be increased.Flipped learning of Chinese Characters enables the iterative learning about Chinese Characters and Chinese Character sentences and the resulting time secured enables more individual learning with students. The success factors of flipped learning seem to be in the videos prepared by the teacher, but in reality the class design of the teacher is more important. Therefore, the class video prepared by the teacher can be said to be a function as a means of class design.The contents of the learning materials related to flipped learning are composed of 'taking notes, summarizing, asking questions, presenting questions of checcking learning, mind map, and expanding'. When a Chinese Character teacher makes a video, appropriate video time is about 7 minutes. Methods of making flipped class videos of Chinese Character include method of carrying out like lecturing on the blackboard, teacher’s explanation on the screen using PowerPoint and method of putting teaching materials on a desk and writing them on white paper as needed.
The quantum restricted Boltzmann machine is universal for quantum computation

The challenge posed by the many body problem in quantum physics originates from the difficulty of describing the nontrivial correlations encoded in the exponential complexity of the many body wave function. Simulating the large-scale wave function with highly entanglement is always accompanied by the computationally intractable even using the most powerful classical computers. In this thesis, we demonstrate that the 2-Local Quantum Restricted Boltzmann Machine (2LQRBM) can efficiently represent the many-body wave function on the noisy intermediate scale quantum (NISQ) devices, and we also propose a proof that 2LQRBM is universal for quantum computation this http URL the best of our knowledge, prior works related to the QRBM do not propose the explicit bound that single layer QRBM can depict. Utilizing this novel scheme, we successfully compute the wavefunctions for the notable cases of physical interest, such as the ground state as well as the Gibbs state (thermal state) of a molecule on the superconductor quantum chip with an affordable error. Experimental results confirm our method.
Neural-Network-Based Feature Learning: Recurrent Neural Network

Recurrent Neural Networks (RNNs) are a class of artificial neural networks for the processing and predicting sequential data, which add recurrent connections feeding the hidden layers of the neural network back into themselves at different time steps. These recurrent connections provide RNNs with visibility of not only the current information but also previously hidden information. In this chapter, we first introduce the structure of RNN and then mainly focus on two important RNN types: long short-term memory (LSTM) and gated recurrent unit (GRU). Finally, we use case studies to deepen the understanding of RNN and LSTM.