Reviewerly/exHarmony huggingface dataset:
Surface-Related Multiple Attenuation based on Deep Learning

Summary Deep learning is widely used in seismic data processing in recently years for its well performance in dealing with complex nonlinearity problems. In this abstract, we proposed a method to attenuate multiple by combining 3D convolutional neural network and U-Net architecture. We select L2 norm as constraint to avoid over fitting during training. By comparing to the conventional 2D U-Net, our method provides better results in real examples.
Applying Collaborative Strategic Reading Strategy in Improving Reading Comprehension Achievement of 7th Grade Students at Buddhis Bodhicitta School

This study attempts to explore the application of collaborative strategic reading strategy in improving reading comprehension achievement of 7th grade students at Buddhis Bodhicitta School and difficulties faced by the students in learning it. The methodology used in this research is Classroom Action Research (CAR). The data of this research are the result of reading tests taken from pre-test I &amp; II and supported by the results of the questionnaires. The subjects of the research are forty-four students of the seventh grade of Buddhis Bodhicitta School. The findings of the research are the mean of pre-test I is 54,3 and the mean of post-test I is 70,2, the mean of pre-test II is 73,6 and the mean of post-test II is 75. It is concluded that using collaborative strategic reading can improve students’ achievement in reading comprehension. Then, there are some difficulties faced by the students in learning reading comprehension such as difficult to get the point of the text in preview strategy, did not know the meaning of difficult words, wrote the text by using their own words, did not know how to wrap up the text, difficult to work in a group, and could not follow the instruction.
Design and Build Desktop-Based Educational Game Save The Wildlife "With Game Engine Construct 2: Design and Build Desktop-Based Educational Game Save The Wildlife "With Game Engine Construct 2

Educational Games are digital games that are designed for enrichment and education. One of the benefits of the game is as entertainment and to get players' inner satisfaction from the game. Games can also be used as a fun educational delivery tool. Educational games have other positive values ??in them, by supporting teaching and learning. In order to obtain the essence or additional knowledge for players of the game. Indonesia is a country that has a very high level of biodiversity and endemism. One of them is the diversity of fauna (animals) in Indonesia. The problem faced by animals in Indonesia today is the rampant hunting and trade of animals. If not further addressed then it is not impossible that the next few years these animals will become extinct. This is due to a lack of awareness of the importance of protecting nature and caring for protected animals. Understanding of environmental and animal care needs to be educated as early as possible. In this final project, a product in the form of the game Save the Wildlife is created which aims to introduce and provide information about protected animals in Indonesia. An arcade game created with the game engine Construct 2. The design method used is Collision detection, which is a method used to detect collisions or collisions between an object and other objects. It is hoped that by making this game, players, especially children, will get to know more about protected animals in Indonesia and better protect and preserve the environment of these animals.
THE INDIVIDUAL GUIDELINES FOR PROFESSIONAL SELF-DETERMINATION OF FUTURE PSYCHOLOGISTS

The article is devoted to the problem of professional self-determination of future psychologists. A theoretical analysis of scientific sources on the genesis and relationship of the categories of “self-determination” and “professional self-determination”. The kinship of the categories “professional development” and “professional self-determination”, which is based on the common personal characteristics of the processes – “own meaning” and awareness, is theoretically investigated and revealed. The article also highlights the results of an empirical study of the professional development of future psychologists while studying at university and individual psychological guidelines for their professional self-determination. Diagnosis of the type of professional development of studentspsychologists is carried out. The individual psychological guidelines of professional self-determination of future psychologists are studied in the following areas: motives for choosing a profession, professional values, functions and characteristics of a psychologist, expectations from future professional activity, evaluation of the result of current professional self-determination. It is established that the leading motives in choosing a profession by students of psychology are the desire to improve their own psychological knowledge, to help people, the desire to have a good income in the future. Among the available professional values, future psychologists elect out job satisfaction the most; professional and individual development. The most important characteristic of a psychologist is called professional competence; students see the main professional function in raising the level of consciousness of people, supporting and realizing their desire to understand themselves. 52% of respondents assess the state of their professional self-determination as successful; and 19.7% of respondents are ready to start independent professional activity. According to the results of the research, the prospects of career guidance work with future psychologists during professional training are determined.
A Comparative Framework for Evaluating Consensus Algorithms for Blockchains

The past five years have seen a significant increase in the popularity of Decentralized Ledgers, commonly referred to as Blockchains. Many new protocols have been launched to cater to various applications serving individual consumers and enterprises. While research is conducted on individual consensus mechanisms and comparison against popular protocols, decisionmaking and selection between the protocols is still amorphous. This paper proposes a comprehensive comparative framework to evaluate various consensus algorithms. We hope that such a framework will help evaluate current as well as future consensus algorithms objectively for a given use case. The past five years have seen a significant increase in the popularity of Decentralized Ledgers, commonly referred to as Blockchains. Many new protocols have been launched to cater to various applications serving individual consumers and enterprises. While research is conducted on individual consensus mechanisms and comparison against popular protocols, decisionmaking and selection between the protocols is still amorphous. This paper proposes a comprehensive comparative framework to evaluate various consensus algorithms. We hope that such a framework will help evaluate current as well as future consensus algorithms objectively for a given use case.
REPRESENTATION OF THE MORPHEME UTILIZATION OF GORONTALO LANGUAGE IN STUDENTS CHARACTER BUILDING THROUGH LOCAL CONTENT LEARNING

Gorontalo language is one of the regional languages in Indonesia that needs to be preserved and maintained by the people of Gorontalo. This study’s problems are (1) what are the types of morphemes in the Gorontalo language? (2) How is the use of morphemes of the Gorontalo language in students’ character building through local content learning? The study aims to (a) describe the types of morphemes of the Gorontalo language; (b) describe the use of morphemes of the Gorontalo language in students’ character building through local content learning. The results showed that (1) morphemes of the Gorontalo language consisted of: (a) basic morphemes and (b) bound morphemes; (2) morphemes of the Gorontalo language that can be used in the students’ character building include: (a) verbal morphemes, (b) nominal morphemes, and (c) adjectival morphemes. The conclusions of this study are: (1) morphemes of the Gorontalo language, both basic morphemes, and bound morphemes, can form complex morphemes which can be used in students’ character building, (2) morphemes of the Gorontalo language can be used for students’ character building through local content learning.
When Prototyping Meets Storytelling: Practices and Malpractices in Innovating Software Firms

Storytelling is an important but often underestimated practice in software engineering. Whereas existing research widely regards storytelling as creating a common understanding between developers and users, we argue that storytelling and prototyping are intertwined practices for innovators to persuade decision makers. Based on a two-year qualitative case study in two innovating software firms, we identify and dialectically examine practices of storytelling and prototyping. Our study implies that storytelling and prototyping should be integrated together into software engineering methods.
Pengembangan Media Pembelajaran Buku Saku Digital Berbasis Android Pada Materi Perpindahan Kalor

This research aims to develop an-Android based digital pocket book learning media using a development model R&D (Research and Development). The development stages include (1) potential and problem (2) data collection (3) product design (4) design revision (5) design validation (6) small-scale trials. Design validation was carried out by material experts, media experts, and technology experts by filling out a validation sheet using a Likert scale. The product trial was given to 15 high school students by filling out a questionnaire using the Ghutmann scale. The result showed that (1) an Android-based digital pocket book on heat transfer material was designed using the Adobe Flash Pro CS 6 application with published results with a specification of 49.00 MB. (2) The validity of the android pocket book developed by material experts is 85 %, media experts is 94.3 %, and technology experts is 87.5 %. This shows that the developed android pocket book is suitable for use in learning. (3) Student responses to each assessment indicator obtained a percentage of ≥ 50 %, which means that developed android pocket book received a positive response. It can be concluded that the android-based digital pocket book that was developed is feasible to be used as a learning medium for heat transfer material.
Research Guides: Text Mining Methods and Tools: Processing Text

Learn more about text mining (aka computational text analysis) and how you can apply it to your research.
Training as a Means of Developing Students’ Motivation

The article explores the problems of students’ motivation and its influence on educational effectiveness, considering the importance of motivation for young people’s personal and professional development. The significance and functions of motivation in various aspects of students’ activity were studied (including social conditions of their life). The leading educational motives of people entering a professional educational institution are “professional” ones, but the role of motives changes within the period of study. This process is considerably influenced by vocational guidance work, the organization of industrial practice, along with the possibility of further employment. The research purpose is to study the specifics of developing students’ educational motivation at theoretical and empirical levels. The research methodology and its algorithm include conducting a complex psychological and pedagogical experiment by assessing the participants’ motivation before and after the implementation of the training programme. Today, it is not sufficient to provide a student with certain knowledge. Much attention is paid to forming his/her professional readiness, which we consider as a personal quality and an essential prerequisite for effective postgraduate activity. Students’ professional readiness will help them to successfully fulfill their duties, use knowledge and experience, maintain self-control, be effective when solving production tasks and adapt to continuously evolving conditions of work. Students’ professional readiness includes the motivational component, which is expressed in the system of stable attitudes and motives. The effectiveness of developing students’ educational motivation is due to a number of pedagogical conditions, primarily the use of training as a method of increasing students’ motivation.
Generation of Schrödinger cat states by generalized photon subtraction

We propose a high-rate generation method of optical Schrödinger cat states [1] . More than a decade, the standard method of cat-state generation has been photon subtraction from squeezed vacuum states [2] . Its constraints on experimental parameters, however, limit the generation rate. We overcome the problem by considering photon-number measurement in one mode of arbitrary two-mode Gaussian states, which we call "generalized photon subtraction". Analysis of such a general situation is challenging, but we analytically derive an efficient condition by describing the state-generation process using wave functions. Supposing realistic experimental conditions, the generation rate of cat states with large-amplitude (| α| ≥ 2) is improved by multiple orders from the conventional photon subtraction. Our proposal would open a way for quantum error correction and coherent-state-based quantum computing.
How Have Governments and the Entrepreneurial Sector Reacted to the First COVID-19 Lockdown?

At the end of 2019, the pandemic caused by COVID-19 and its different mutations is forcing the world to face a significant economic crisis that will change the business world. To cope with this socio-economic problem, a digitation process has been accelerated in the labor market, and a more vital public-private collaboration has been put into action to solve this situation. Despite these efforts, the world is facing a broader North-South gap, and a new business world has been created for the new generations to come. This chapter aims to analyze how the first lockdown caused by COVID-19 has influenced this changing process. The authors conclude that this lockdown has accelerated both the digitation process and the work-life balance. Also, more efforts are needed to fight the psychiatric problems associated with the lockdown.
Aprender matemática a distancia. Una experiencia integrando materias y valores con adolescentes de una población vulnerable en la ciudad de Guatemala

In Guatemala City, most of the High school institutions whose purpose is to prepare students for College or to perform a job, face serious difficulties when the young teenagers try to get admitted to study for their High school diploma. Most of the teenagers show poor work habits, deficient communication skills and a low academic math achievement, amongst other problems. These deficiencies are more evident in students from lower income families. Instituto Guillermo Putzeys Alvarez (IGPA), a private school, located at Guatemala’s city ‘‘Centro Historico’’, offers those students an opportunity to develop the expected abilities and to learn the contents that the public university requires for admission. Applying humanistic principles and active classroom learning activities, the High school helps the students, even before admission, a welcoming environment, specialized teachers and a special Project known as ‘‘Proyecto Integracion’’. The project is offered to students soon to be graduated from Middle school who wish to attend medical school. The project integrates disciplines and presents a formative approach to help students improve as persons and to propose a life plan. It has improved since 2015 and has reached its many valuable goals. In 2020, due to the quarantine because of the pandemic, the project becomes virtual keeping its purposes and adapting its learning activities and educational humanistic principles. This essay shares the experience that IGPA had before the pandemic, the challenge during the quarantine and the learned lessons to pursue the project to help the students in need.
HOSVD Based Image Encryption Using DSCT and Shearlet Transform

This paper presents a completely unique scheme for image encryption the usage of HOSVD in DCST and Non Subsampled Shearlet Transform (NSST) domain for the enhancement of virtual picture safety. In the proposed scheme, virtual pix are encrypted using a number of bands of DCST and Shearlet Transform together with the parameters of HOSVD. Decryption may be aptly recognized through extracting the statistics in correct order. To ratify the authenticity, the proposed scheme is compared with diverse gift techniques and from the experimental evaluation, it become analyzed that the outcomes of the proposed scheme are finer than the existing schemes. To find out the energy of the proposed scheme, assaults like noise, blurring, artifacts were accomplished on the enter image further to an encrypted photo. The experimental consequences confirm that the proposed scheme’s electricity towards the attacks is advanced in assessment to the present method.
VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction

To reconstruct a 3D scene from a set of calibrated views, traditional multi-view stereo techniques rely on two distinct stages: local depth maps computation and global depth maps fusion. Recent studies concentrate on deep neural architectures for depth estimation by using conventional depth fusion method or direct 3D reconstruction network by regressing Truncated Signed Distance Function (TSDF). In this paper, we advocate that replicating the traditional two stages framework with deep neural networks improves both the interpretability and the accuracy of the results. As mentioned, our network operates in two steps: 1) the local computation of the local depth maps with a deep MVS technique, and, 2) the depth maps and images' features fusion to build a single TSDF volume. In order to improve the matching performance between images acquired from very different viewpoints (e.g., large-baseline and rotations), we introduce a rotation-invariant 3D convolution kernel called PosedConv. The effectiveness of the proposed architecture is underlined via a large series of experiments conducted on the ScanNet dataset where our approach compares favorably against both traditional and deep learning techniques.
Geometry-Free View Synthesis: Transformers and no 3D Priors

Is a geometric model required to synthesize novel views from a single image? Being bound to local convolutions, CNNs need explicit 3D biases to model geometric transformations. In contrast, we demonstrate that a transformer-based model can synthesize entirely novel views without any hand-engineered 3D biases. This is achieved by (i) a global attention mechanism for implicitly learning long-range 3D correspondences between source and target views, and (ii) a probabilistic formulation necessary to capture the ambiguity inherent in predicting novel views from a single image, thereby overcoming the limitations of previous approaches that are restricted to relatively small viewpoint changes. We evaluate various ways to integrate 3D priors into a transformer architecture. However, our experiments show that no such geometric priors are required and that the transformer is capable of implicitly learning 3D relationships between images. Furthermore, this approach outperforms the state of the art in terms of visual quality while covering the full distribution of possible realizations. Code is available at this https URL
대학생의 성찰 구조 인식과 성찰 글쓰기 교수법 연구

The Journal of Studies in Language 37.2, 161-179. The purpose of this study is to analyze the types of reflection structures that the university students perceive in reflection writing and to expand their reflection structure experiences to “self” → to “others” → to “social and world” through flipped learning teaching methods. With the rapid transition to the online educational environment in the post pandemic era, students must consider extending their reflection structure awareness in the online environment. The reflection structure is efficient to expand the reflection structure extensions in a way of sharing among students. To this end, flipped learning and application evernote was utilized. It is meaningful that the research mainly focused on research such as reflection writing teaching methods, necessity, and utility, analyzed the reflection structure recognized by the university students and expanded awareness through reflection structure sharing in an online education environment. (Woosuk University)
A case study on pragmatic software reuse

Software reuse became a very active and demanding research area. The research on this topic is extensive, but is there is gap between theory and industrial reuse practices. There is a need to conne ...
Understanding Proficiency: Analyzing the Characteristics of Secondary Studentsâ€™ On-Demand Analytical Essay Writing

Author(s): Chen, Vicky; Olson, Carol B.; Chung, Huy Quoc | Abstract: This study investigated the different characteristics of not-pass (n = 174), adequate-pass (n = 173), and strong-pass (n = 114) text-based, analytical essays written by middle and high school students. Essays were drawn from the 2015-2016 Pathway writing and reading intervention pretests and posttests. Results revealed the use of relevant summary was an important difference between not-pass and adequate-pass essays where significantly more adequate-pass essays used summary in a purposeful rather than general way. In contrast, major characteristics that set apart strong-pass essays from adequate-pass essays involved providing analysis and including a clear conclusion or end. Factors that affected these characteristics such as whether the writer made claims and comments about the text are discussed, and some instructional strategies are suggested. Keywords: writing proficiency, writing instruction, adolescent literacy, text-based analytical writing, on-demand writing assessment
Methodological Research on Architecture of Cloud Service Models in Cloud Computing

Cloud computing is the most recent association in speaking to computing resources as an assistance. It addresses a move away from figuring as a thing that is gained, to computing as a help that is given to clients over the web from colossal scale data focuses – or "clouds". While cloud computing is expanding making acclaim in the IT business, the academic world appeared to fall behind the speedy movements in this field. In this paper, we investigate cloud building and differences cloud figuring and framework handling. We also address the characteristics and uses of a couple of surely understood cloud computing stages. In this paper, we discuss about the architecture of cloud computing models for which we perceived a couple of troubles from the cloud figuring gathering point of view what's more, we additionally highlighted the cloud interoperability issue that preferences broad future scope &amp; progress.
A importância do gerenciamento de configuração para o ciclo de vida do software: um estudo de caso baseado nas diretrizes da engenharia de software

Due to the large collection of good software quality and functionality, companies have been looking for ways to organize and work quality through quality management and project management. However, within these two environments there are different types of processes to follow and there are cases where you need to create functions support for management. Regarding the quality of the software, from its development to delivery to the end customer, Software Configuration Management is an essential management tool for identifying and controlling changes in the software life cycle. Therefore, this article aims to analyze the importance of configuration management for the software life cycle, with the application of a case study and based on the Software Engineering guideline. With the development of the research, it is possible to verify how the Process of Software Configuration Management is applied in a company, presenting the advantages of the application of the process and the disadvantages of not applying it.