Reviewerly/exHarmony huggingface dataset:
A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data

With the rapid development of satellite technology, remote sensing data has entered the era of big data, and the intelligent processing of remote sensing image has been paid more and more attention. Through the semantic research of remote sensing data, the processing ability of remote sensing data is greatly improved. This paper aims to introduce and analyze the research and application progress of remote sensing image satellite data processing from the perspective of semantic. Firstly, it introduces the characteristics and semantic knowledge of remote sensing big data; Secondly, the semantic concept, semantic construction and application fields are introduced in detail; then, for remote sensing big data, the technical progress in the study field of semantic construction is analyzed from four aspects: semantic description and understanding, semantic segmentation, semantic classification and semantic search, focusing on deep learning technology; Finally, the problems and challenges in the four aspects are discussed in detail, in order to find more directions to explore.
Relative Clauses (I)

This chapter develops an improved assignment-variable-based compositional semantics for head-raising analyses of restrictive relative clauses, and applies the account to certain types of pronominal anaphora. The speculative choice-function based analysis of names from Chapter 4 is extended to certain indefinites, relative words, and donkey pronouns. An analysis of donkey pronouns as copies of their linguistic antecedent is supported by crosslinguistic data. Nominal quantifiers are treated as introducing quantification over assignments. The proposed semantics for quantifiers helps capture linguistic shifting data in universal, existential, and asymmetric readings of donkey sentences. Additional composition rules or principles for interpreting reconstructed phrases aren’t required (e.g., Predicate Abstraction, Predicate Modification, Trace Conversion). The semantics is fully compositional. Critical challenges are discussed.
Research on market data mining of business plan based on dynamic time series

At present, most dynamic data mining algorithms are improved algorithms of static data mining algorithms. The business plan contains a variety of different types of market data. The correlation of market data and the prediction of data are applicable to subsequent roadshows. Therefore, this paper proposes an analysis and Research on market data mining technology based on dynamic time series. Making full use of the interdependent characteristics of various time series data, the likelihood space transformed from time series data is created by hidden Markov model, and then the dynamic characteristics of time series data are classified by hierarchical clustering. The practical application results show that the proposed algorithm is suitable for the analysis and mining of required data, and supports the writing and roadshow of business plan.
Performance and Scalability

As an eager entrepreneur, you monitor MyAppoly’s usage carefully and address any issues immediately. You spend time sifting through the analytics reports from your team, and you notice signs of success. The number of users you have is snowballing. Soon, your team approaches you and asks to discuss how to improve the site now that it is attracting unprecedented traffic. Some engineers note that certain pages are much slower than their potential and that the current setup cannot support many more users, especially at the rate of growth the metrics suggest. For example, each server can only handle a certain number of requests per second, so the website currently takes too long to load. These are good problems to have, but they still need to be addressed.
Shock Waves

The speed of sound is a critical speed (remember what was said in Sect. 2.1 about the time required to restore dynamic equilibrium). In relation to c the fluid motions are classified into subsonic ( $$ v <c $$ ) and supersonic ( $$ v> c $$ ). We use to introduce the Mach number $$ \textit{Ma} = v / c $$ , so the motions will be subsonic or supersonic depending on whether $$ \textit{Ma} <1 $$ or $$ \textit{Ma}> 1 $$ .
Benin – Post‐election Cabinet

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 58, Issue 5 p. 23152A-23152B Internal Developments Benin – Post-election Cabinet First published: 16 June 2021 https://doi.org/10.1111/j.1467-825X.2021.09987.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume58, Issue5June 2021Pages 23152A-23152B RelatedInformation
Cross-Border Offer to Sell and International Jurisdiction in Community Designs Infringement Disputes

Journal Article Cross-Border Offer to Sell and International Jurisdiction in Community Designs Infringement Disputes Get access GRUR International, Volume 69, Issue 7, July 2020, Pages 774–775, https://doi.org/10.1093/grurint/ikaa064 Published: 03 May 2020
Application of Computer Network Technology in Study Management of Overseas Students in China

With the continuous development of computer network technology, its application in learning and education management also occupies an important position. With the advent of the information age, overseas students from all over the world feel the connotation of Chinese cultural and educational knowledge. More and more overseas students choose to study in China. The rational use of computer network technology can improve the efficiency and ability of overseas students' learning management. Moreover, as the epidemic situation in China is normal now, most of the teaching can only be done through the network, so the computer network technology is more and more widely used in the teaching management of international students. Therefore, we should actively explore the optimization and transformation of the study management and application of international students, and analyze and explore its application, so as to further promote the improvement of the study level of international students and the promotion of teaching management.
Organization of Interactive Training in a Vocational Educational Institution

Interactive learning is an integral part of modern education system dissemination of which has become relevant again with implementation of new Federal state educational standards. One of the goals of interactive learning is to improve training of students in professional educational institutions by increasing their activity when changing teacher’s role in this process. Activation of student activities to form professional competencies and become a future specialist as a highly qualified professional in these conditions is a complex multifaceted process. Using interactive technologies allows you to make it more productive and interesting for students. The aim of our work is to study interactive learning organization in a professional educational institution. The paper discusses methods to improve interactive training organization and, as a result, professional competencies development. The authors included project method, method of problem-based learning, case study and “round table” method. The authors conclude that when using these methods, interactive learning organization becomes more elaborate and effective for students who become active in this activity.
Charityhowto.com webinar gives tips for high‐performance culture

Nonprofit Business AdvisorVolume 2021, Issue 382 p. 9-9 Resources Charityhowto.com webinar gives tips for high-performance culture First published: 10 June 2021 https://doi.org/10.1002/nba.31033Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume2021, Issue382July 2021Pages 9-9 RelatedInformation
ANALISIS DAN PROBLEMATIKA PERAN ORANG TUA DALAM MENDAMPINGI ANAK BELAJAR BAHASA INDONESIA PADA MASA PANDEMI COVID -19

The Covid 19 pandemic problem is becoming a big problem for people or citizens of this part of the world. The government has handled various things in order to reduce and break the chain of the virus, such as maintaining distance, wearing a mask and always washing your hands after or before handling objects or shaking. The government strives to do this so that the chain of disease will end soon, but it is still difficult for the government to handle it by itself, there must be self-awareness in the community so that all diseases end. The impact and impact of this virus is enormous for the economy, education, and even people's livelihoods. The impact that concerns me the most is in the world of education, because everything is done from home while parents do not always understand the schoolwork given by the teacher. Parents also have their own busyness in earning a living and giving roles in their responsibilities as parents. In this study using a qualitative method that does not use numbers in data collection and providing interpretation of the results.Keywords: Covid-19, the role of parents, Indonesian language lessons.
A Dynamic Field Theory of Visual Working Memory

The main objective of this chapter is to introduce concepts of dynamic field theory, a continuous attractor neural network, and its implementation of visual working memory. In dynamic field theory, working memory is an attractor state where representations are self-sustained through strong interactions between self-excitation and lateral inhibition. The chapter discusses a visual working memory model with fields represented by stabilized attractor states. Using this model, it demonstrates how encoding, consolidation, maintenance, and comparison occur in correct and incorrect, same and different trials in a change detection task. Further, the model captures accuracy and capacity limitations when visual working memory load is manipulated. Critically, the chapter reviews work from the authors’ research group by demonstrating how the model captures behavioural performance and makes haemodynamic predictions in early childhood, young adulthood, and older adulthood. Using the model, the chapter posits that developmental changes in visual working memory processing occur as a result of the modulation of strength and width of excitation and inhibition. Finally, the chapter describes how the dynamic field theory account compares with current views on a domain-general account and distributed nature of working memory processing.
Philosophical reflections on the information society in the context of a security-creating paradigm

The article, based on theoretical discourse, analysed the main approaches to the basic axiological characteristics of the information society. It is established that the main characteristic of a modern information society is the presence of people, who are capable of critical thinking. Axiological, epistemological and ontological aspects reveal the philosophical aspects of the reviewed definition. The ontological aspect of information security fixates a situation designed to deal with the risk, whose purpose is to ensure the integrity of the object and the steady state of the information environment. Anthropological aspect of the concept reveals the security of the subject of information interaction. The axiological component of the concept of 'information security' reflects the values and goals that determine the information needs of man. The hypothesis that information security is a complex phenomenon of modern civilisation objective development, is aimed at promoting the harmonious development of the information society.
Hubungan Motivasi Belajar dengan Prestasi Belajar Siswa pada Mata Pelajaran Ekonomi Kelas X (Sepuluh) di MA Al-Qurtubiyyah Nagrak Tahun Pelajaran 2016/2017

ABSTRACT&#x0D; .This study aims to examine the relationship between student learning motivation and student learning Achievement in economic subjects class X (Ten ) at MA Al-Qurtubiyyah Nagrak Academic Year 2016/2017. To obtain “X” variable data "Learning Motivation" using questionnaires or quiesioners and to obtain variable data “Y” "Learning outcomes" using the test. The research method used in this study is quantitative associative. The number of samples used in this study were 33 students in class X (Ten ). Analysis of the data used is; the first prerequisite test is validity and reliability test and normality test. Both hypothesis tests use the correlational test.&#x0D; The results showed that there was a significant relationship between learning motivation and student learning Achievement in Class X (Ten) Economics Subjects at the MA 2016 Al-Qurtubiyyah Nagrak Academic Year. Evident from the correlation coefficient of r = 0.821 the level of relations is very high, while the price of r² = 0.674. This shows that 67.4% of the variations that occur in student learning Achievement are related to student learning motivation.&#x0D; Keywords: Learning Motivation, Student Learning Achievement&#x0D;
DSS Model for the Adipura Trophy

Every year the Indonesian government presents challenges to the regional and city governments to obtain the adiputra trophy. The Adipura Cup is given to the municipal and regional governments in Indonesia who meet several requirements such as cleanliness, beauty, peace and several other criteria. During this time the criteria assessment process is done manually and this research aims to create a Decision Support System to help provide an assessment of the Indonesian government to determine the winner of The Adipura trophy. The research method uses Analytical Hierarchical Processing (AHP) The results of this research are DSS models for The Adipura trophies. The conclusion of this research is that the resulting model facilitates the process of selecting the The Adipura cup.
Move Semantics

This chapter complements and completes several key topics discussed in the middle parts of the book. In Chapters 12 and 13, for instance, you gained insight into the mechanics behind the copying of objects, that is, copy constructors and assignment operators. And from Chapter 8 you know to prefer pass-by-reference over pass-by-value to avoid undue copying of parameters. And for a long time, that was basically all you needed to know. C++ offered facilities to copy objects, and if you wanted to avoid costly copies, then you simply used either references or pointers. Starting with C++11, however, there is a powerful new alternative. You can no longer only copy objects; you can now also move them.
Multipartite Einstein-Podolsky-Rosen steering sharing with separable states

We distribute Einstein-Podolsky-Rosen steering between two and even more distant parties by transmitting a separable system. All protocols can be implemented with squeezed states, beam splitters and displacements, and thus they can be realized experimentally.
Performance Evaluation of Gradient Domain and Pyramid Blending Used in Image Stitching Process with ORB Binary Descriptor

Panorama development is the basically method of integrating multiple images captured of the same scene under consideration to get high resolution image. This process is useful for combining multiple images which are overlapped to obtain larger image. Usefulness of Image stitching is found in the field related to medical imaging, data from satellites, computer vision and automatic target recognition in military applications. The goal objective of this research paper is basically for developing an high improved resolution and its quality panorama having with high accuracy and minimum computation time. Initially we compared different image feature detectors and tested SIFT, SURF, ORB to find out the rate of detection of the corrected available key points along with processing time. Later on, testing is done with some common techniques of image blending or fusion for improving the mosaicing quality process. In this experimental results, it has been found out that ORB image feature detection and description algorithm is more accurate, fastest which gives a higher performance and Pyramid blending method gives the better stitching quality. Lastly panorama is developed based on combination of ORB binary descriptor method for finding out image features and pyramid blending method.
Support Vector Regression based Mapreduce Throttled Load Balancer for Data Centers

The process of analyzing big data and other valuable information is a significant process in the cloud. Since big data processing utilizes a large number of resources for completing certain tasks. Therefore, the incoming tasks are allocated with better utilization of resources to minimize the workload across the server in the cloud. The conventional load balancing technique failed to balance the load effectively among data centers and dynamic QoS requirements of big data application. In order to improve the load balancing with maximum throughput and minimum makespan, Support Vector Regression based MapReduce Throttled Load Balancing (SVR-MTLB) technique is introduced. Initially, a large number of cloud user requests (data/file) are sent to the cloud server from different locations. After collecting the cloud user request, the SVR-MTLB technique balances the workload of the virtual machine with the help of support vector regression. The load balancer uses the index table for maintaining the virtual machines. Then, map function performs the regression analysis using optimal hyperplane and provides three resource status of the virtual machine namely overloaded, less loaded and balanced load. After finding the less loaded VM, the load balancer sends the ID of the virtual machine to the data center controller. The controller performs migration of the task from an overloaded VM to a less loaded VM at run time. This in turn assists to minimize the response time. Experimental evaluation is carried out on the factors such as throughput, makespan, migration time and response time with respect to a number of tasks. The experimental results reported that the proposed SVR-MTLB technique obtains high throughput with minimum response time, makespan as well as migration time than the state -of -the -art methods.
An Interactive Three-Dimensional Motion Simulation Method for Indoor Multi-Agent

It is necessary to verify and test the algorithms of autonomous mobile agents to improve the performance of these algorithms which is used for the large-scale application. However, most of multi-agent algorithms are based on simplified agent assumptions and verified in two-dimensional scenes. The unrealistic simplificati on makes it difficult for the algorithms to be executed effectively on physical agents. Therefore, this paper studies an interactive 3D motion simulation method based on real indoor application scenes and robot models, which can support the verification of various algorithms such as planning and motion control. The proposed method also has interactive and visualization functions including the setting of model state and the display of algorithm execution results on the graphical interface. Simulation experiments are carried out to verify various algorithms in different scenes. The results show that the proposed method can effectively simulate the motion and the interaction of multi-agents in the real physical world.
Review Extract Using Word Embeddings

Online reviews become the basis of evaluating alternatives before making purchase decision. So extracting useful information from a large number of reviews becomes a valuable act. Recently word embeddings methods have been widely used in binary sentiment classification tasks and perform well. They judge a review is negative or positive, but ignores the product characteristics of the reviews expression. Itâ€™s difficult to get valuable information from huge number of reviews. In this paper, we propose a method to get the core reviews from review collection. This methodology applies a combined approach of word embedding (word2vec) and PageRank named WVP to calculate the impact factor of a review. We training the model through an open source hotel review data. The methodology is applied to the data sets of hotel reviews was crawled from DianPing which a famous company on tourism. Experiment show that WVP is effective to get core reviews.
Engaging Senior Adults with Technology for Behavior Change

Amidst today’s ever-expanding waistlines there is a clear need to investigate technology’s potential to support behavior change and stimulate increased physical activity. Physical activity has also been shown to increase the independence and well-being of older adults, yet an important segment of this community is often excluded from the necessary in-context research due to the barriers they face to technology acceptance. Currently, there is limited knowledge on how to overcome these barriers to participation. We created a specific Product Service System that supports older adults to engage with the proposed technological interventions to enable important in-context behavior change research. Our approach converges knowledge from the domains of living laboratories, co-design, and existing experience of design research with older adults. From our experiences with this Product Service System, we provide guidelines to support other researchers setting-up a living laboratory study with older adults to explore technology’s potential to motivate behavior change.
Descriptive Functions and Manipulating Objects

For arrays, matrices, vectors, lists, and expressions, in command line R, there are a number of functions that describe various attributes of an object. In R Studio, many attributes, such as the number of columns in a matrix or the length of a list, are given to the right of the object name under the “Environment” tab in the upper right window.
PECULIARITIES OF EMOTIONAL CULTURE FORMATION OF FUTURE TEACHERS OF ART PROFILE IN CONDITIONS OF THE HIGHER SPECIAL EDUCATION INSTITUTION

The article substantiates the concept of "emotional culture of the teacher", defines its essence, reveals significance of the content of educational material in the context of formation of this phenomenon for the specialties "Musical Art" and "Choreography".The article outlines practical and methodological directions of nurturing the culture of emotions of the future specialist of art profile, enriching his emotional sphere in the course of work on an artistic image in educational repertoire samples on a specialty.