Reviewerly/exHarmony huggingface dataset:
Exploring Alignment of Representations with Human Perception

We argue that a valuable perspective on when a model learns \textit{good} representations is that inputs that are mapped to similar representations by the model should be perceived similarly by humans. We use \textit{representation inversion} to generate multiple inputs that map to the same model representation, then quantify the perceptual similarity of these inputs via human surveys. Our approach yields a measure of the extent to which a model is aligned with human perception. Using this measure of alignment, we evaluate models trained with various learning paradigms (\eg~supervised and self-supervised learning) and different training losses (standard and robust training). Our results suggest that the alignment of representations with human perception provides useful additional insights into the qualities of a model. For example, we find that alignment with human perception can be used as a measure of trust in a model's prediction on inputs where different models have conflicting outputs. We also find that various properties of a model like its architecture, training paradigm, training loss, and data augmentation play a significant role in learning representations that are aligned with human perception.
Marketing Management DIII Students' Distance Education Effectiveness For Citizens With Special Needs

The existence of individuals with developmental and sensory disabilities (DIII MP-WNBK students) at the Jakarta State Polytechnic is a concern, especially when it is observed how they interact, the way they receive and attend lectures in class. So the situation that is completely online like this, becomes a challenge for them. The purpose of this study is to examine the effectiveness of distance education for MP-WNBK DIII students, and to explain efforts to improve their skills in accessing online lectures through the elearning.pnj.ac.id platform. This study uses an intervention method with a quantitative approach. The design of this research is a cross sectional study. The sample in this study was PS DIII MP-WNBK PNJ students. The number of samples taken as many as 76 students from a population of 92 students. The results of this study conclude that both lecturers and students enjoy using e-learning as a learning medium during distance learning. Learning with a high level of interaction is fun for both lecturers and students because it approaches face-to-face learning. Almost all students are able to use e-learning. E-learning is quite effective for distance learning.
Understanding Mobile TV Streaming Service Users’ Perception through Cognitive Mapping Method

Recently many content consumers watch professionally produced video/TV content over mobile-based streaming services using the Over-the-Top (OTT) platforms. The current study is aimed to understand the users’ perception of mobile TV streaming services through the lens of the sociocognitive method. Using cognitive mapping stemmed from social representation theory, our study explores the core and peripheral user perceptions toward mobile TV streaming services. We collected words or short phrases that best describe the mobile TV streaming services from 432 users. Then, the data were coded and analyzed to create a cognitive map through the similarities calculation and identifying the core/peripheral perceptions. Finally, we interpret the structure of the cognitive map that reflects the mobile TV users’ perceptions. The findings of this study reveals certain aspects of the mobile TV streaming services are more or less appreciated through which we provide a strategic guide to the industry.
Detection of Multiple Small 3D Objects Using Point Cloud Images by ASP Network 3D Object Detection Model

In current years, CNN which is called convolution neural networks that take part in a determining part inlabeling the subject of 3D detection of objects [1–3], explanation dismemberment [4–6], and super-resolution of certain images[7–9]. Even though precision at an mean average precision rate (mAP) detection of objects in a car which is 2D that remarkablysubstantial, an important application that isa driverless caristill nowadifficultassignment. Alreadyconveyed withJanaietal.[5],detection of three-dimensional objects including within the region of a driverless car requires identifying all the 3D objects inside a specified three-dimensional space, and to ascertain within their region, command, and also stratification. Consequently, there will be an average precision of detecting three-dimensional objects personally affects the security measures and integrity of these driverless cars. The RGBpicturesshortages some ofthenecessaryin-depth details, from this manyprojectsrevolvetheirrecognitionto3D shapes or point data, which holds on to exact dimensional details of 3D images. Escorted by the involvementofRGBand LiDAR imagecamcorder,thepossessionof3D shapes or aspects of data pointsthatbecamehighfavorableandpractical.However,3D shapes or point dataarehabituallyinfrequent,unrushed,androughlydispersed. We have toconstruct andmake use ofthedependableparticulars ofthe3D shapeor point datafor detection of 3Dobjects which isastimulating work.
UAV Formation Flight Control by Using the Surface Electromyography Signals

Gesture, an important mode of human natural behavior, has the advantages of rich semantics, natural flexibility, simplicity and convenience, and has become a research focus of new human-machine interaction technique. This paper, take the multi-UAV formation human-machine coordinated operation and control as the background, based on the gesture recognition method of surface electromyography(sEMG), and researches the gesture interaction technique for multi-UAV formations, which makes the operators use gestures to complete the flight operation and control of UAV formations without space constraints.
The transformation of methodological guidelines in a scientific research in the context of art education

The article examines the methodological guidelines in scientific research based on scientific reflection, their changes connected with the growth of science selfconsciousness and widening the forms of its reflection, the priority of axiological, anthropo and cultural centeredness in the educational and scientific environment, the transformation of the whole style of thinking based on the new paradigm of cognition, which is characterized by a general tendency for synthesis, interdisciplinarity, integrativeness, methodological pluralism. The new ideals of scientific knowledge as a combination of certain conceptual, value and methodological strategies, which form the basis of the new methodology of scientific knowledge acquisition in the context of artistic theory and practice are outlined.
A Era do Coronavirus Pandêmico e os Pacientes Oncológicos

The SARS-CoV-2 virus and variants (Delta and Mu) will not be the last to provoke pandemics. To fight the new coronavirus species and SARS-CoV-2 variants, it will need to surge vaccination efforts, improve surveillance systems of animal reservoirs, use diagnostic efficiently and communicate consistently to health authorities. Cancer patients could develop new SARS-CoV-2 variants when full vaccination should be key to avoid such entanglement. The future of new pandemic around the world will depend on the development of the pan-coronavirus vaccines and the implementation of these measures across the globe.
Study on Implementation of Cloud Computing in Education: A Revolution

Innovation is necessary to ride the inevitable tide of change and one such hot recent area of research in Information Technology (IT) is cloud computing. Cloud computing is a distributed computing technology offering required software and hardware through Internet. It also provides storage, computational platform and infrastructure which are demanded by the user according to their requirement. Due to the growing need of infrastructure educational institutes, organizations have to spend a large amount on their infrastructure to fulfill the needs and demands of the users. Cloud computing is a next generation platform that allows institutions and organizations with a dynamic pools of resource and to reduce cost through improved utilization. In the present scenario, many education institutions are facing the problems with the growing need of IT and infrastructure. Cloud computing which is an emerging technology and which relies on existing technology such as Internet, virtualization, grid computing etc. can be a solution to such problems by providing required infrastructure, software and storage. Developing a cloud architecture for education can be distinct according to the purpose and infrastructure of the institution and can be challenging. In this paper a basic research has been carried out to show how cloud computing can be introduced in the education to improve teaching, agility and have a cost-effective infrastructure which can bring a revolution in the field of education. It also tries to bring out its benefits and limitations.
Investigating the Impact of Cryptocurrencies on the Modern Banking System

This paper deals with an analysis of contemporary monetary instruments, specifically digital currencies and cryptocurrencies as well as their impact on the monetary, financial and economic future around the world. As the central banks of the countries of the world are still the main followers of all the major global financial trends, we will pay special attention to their response to the challenge posed by the monetary constructs coming from the private sector. The development of digital cryptocurrencies will result in the development of new financial and monetary instruments and media, which will lead to benefits and opportunities still undiscovered. &nbsp;Finally, we will make a brief analysis of the legal framework of digital currencies and cryptocurrencies and examine the approaches of individual countries to their legislation.
Fuzzy Cognitive Map-Based Knowledge Representation of Hazardous Industrial Operations.

Abstract Hazardous industrial operations are highly stochastic, still human-dependent, and risky. Operators working in such an environment must understand the complex interrelation between several factors contributing to safe and effective operations. Therefore, being able to predict the effects of their actions on provoking or mitigating possible accidents is crucial. This study aims to utilize fuzzy cognitive maps (FCM) to model the expert’s reasoning about occupational health and safety (OHS) in confined space. This knowledge is used by operators to build their mental models. The developed FCM displays all the possible incidents of a confined space and links these incidents with all their causing and preventing factors. This approach may facilitate the development of simulation-based training solutions and allow operators to act proactively during the operation.
Animations with Matplotlib

In the previous chapter, you learned how to work with 3D visualizations in Matplotlib.
Utilization of ICT based Library Resources and Services of Engineering Colleges: A survey of North Coastal Districts of Andhra Pradesh (India)

We are in a digital era. It is difficult to think of any event in our daily life that is not using Information Communication Technology (ICT). We handle enormous data all the time. Data refers to facts, events, activities and transactions which have been recorded. Data is the raw material from which information is produced. Information is the key guiding force of the world today.
Reclassification for the Chinese Theological Collection

John Searle Library has undertaken a reclassification of the Chinese Theological Collection belonging to Melbourne School of Theology. It was found that Pettee Classification did not support cataloging sufficiently due to not being updated in decades. Reclassification of the collection was necessary. This paper discusses the decision-making process and how the new classification scheme for the collection was chosen. It describes the implementation of the reclassification project and reviews the outcomes.&#x0D; It was decided to reclassify the collection to Library of Congress Classification. This resulted in improving information retrieval, increasing collection discoverability and visibility, and reducing staff time devoted to cataloguing and reference service. An interactive online LCC training module was developed to educate users. As a result, users were engaged and empowered to discover the collection effectively.&#x0D; In conclusion, classification is not merely for shelving and retrieving items. It is the foundation of knowledge organization and also a core business to support many aspects of library service. Information professionals should rethink and reposition classification and transform it into a value-added service for the library.
Elementary School Teachers' Understanding of Democratic Citizenship Education and its Implications for History Education

This article asks elementary school teachers about the necessity and appropriateness of democratic citizenship education, as well as the educational meaning, and, based on the results, aims to raise the responsibility of elementary school history education for civic education. The study results are summarized as follows. First of all, teachers agreed with the necessity and importance of democratic citizenship education in elementary education, and linked the teaching and learning activity plan with the curriculum and creative experience activities. In this case, the teachers decided that it was appropriate to link with the social studies department. Next, looking at the learning goals and topics of the teachers and the characteristics of the teaching and learning process, the teachers valued the meaning of democracy and the practice of democracy in everyday life and chose universal values such as human rights and peace as learning topics. In addition, educational activities were arranged to encourage students'' voluntary participation and practice in the teaching and learning process, and ways to cultivate democratic values and attitudes were sought in the classroom culture. Next, it is necessary to produce teaching and learning materials in various contents and forms for democratic citizenship education. In addition, it is necessary to clearly recognize that the educational activities of teachers who teach universal values such as human rights, peace and democracy are also in line with the goals of school education. Lastly, recent history education in elementary school is trying to break away from the traditional knowledge-centered history class that lists and remembers only historical facts and educational contents centered on national history. This new direction of elementary school history education is in line with the direction of elementary school democratic citizenship education revealed in this article, and it is expected that history classes begin in the lives of students and cultivate democratic values and attitudes.
Software Engineering Concepts and Models

paper attempts to study software engineering concepts, which are developed in to models for better product deployment. There are many different types of software systems from simple to complex systems. These systems may be developed for a particular customer, like systems to support a particular
Inspecting Hybrid Data Mining Approaches in Decision Support Systems for Humanities Texts Criticism

The majority of systems dealing with natural language processing (NLP) and artificial intelligence (AI) can assist in making automated and automatically-supported decisions. However, these systems may face challenges and difficulties or find it confusing to identify the required information (characterization) for eliciting a decision by extracting or summarizing relevant information from large text documents or colossal content. When obtaining these documents online, for instance from social networking or social media, these sites undergo a remarkable increase in the textual content. The main objective of the present study is to conduct a survey and show the latest developments about the implementation of text-mining techniques in humanities when summarizing and eliciting automated decisions. This process relies on technological advancement and considers (1) the automated-decision support-techniques commonly used in humanities, (2) the performance evolution and the use of the stylometric approach in text-mining, and (3) the comparisons of the results of chunking text by using different attributes in Burrows' Delta method. This study also provides an overview of the efficiency of applying some selected data-mining (DM) methods with various text-mining techniques to support the critics' decision in artistry ‒ one field of humanities. The automatic choice of criticism in this field was supported by a hybrid approach to these procedures.
Assessing artificial intelligence capabilities

As artificial intelligence (AI) becomes more mature, it is increasingly used in the world of work alongside human beings. This raises the question of the real value provided by AI, its limits and its complementarity with the skills of biological intelligence. Based on evaluations of AI systems by the Laboratoire national de métrologie et d’essais in France, this chapter proposes a high-level taxonomy of AI capabilities and generalises it to other AI tasks to draw a parallel with human capabilities. It also presents proven practices for evaluating AI systems, which could serve as a basis for developing a methodology for comparing AI and human intelligence. Finally, it recommends further actions to progress in identifying the strengths and weaknesses of AI vs. human intelligence. To that end, it considers the functions and mechanisms underlying capabilities, taking into account the specificities of non-convex AI behaviour in the definition of evaluation tools.
THE ROLE OF COMPUTER GAMES IN ENHANCING PRIMARY SCHOOL STUDENTS ATTITUDE TOWARDS MATHEMATICS

Numerous research findings have applauded the integration of technology in the classroom especially in mathematic to develops positive attitudes. The advancements in technology may provide a better opportunity to impact mathematical literacy and skills on young learners. Perhaps, attitudes towards mathematics are declining in recent years. The study aimed to enhance the students attitude toward learning mathematics by using games app embedded in computer software used as an instrument to teach the subject. A total of ninety-one primary school students drawn from different primary schools in the Kogi state participated in the study. The study adopted a quasi-experimental pre-test, post-test study design. The result revealed that the computer game influenced the respondents attitude towards mathematics at MD = 13.65 (95% CI, 8.91 to 16.17), t (88) = 6.328, p = .001. Thus, the study concludes that computer game is an indispensable tool in impacting positive attitudes towards mathematics, especially among the primary school students. The recommendations are discussed.
Magnetotactic bacteria optimisation algorithm with self-regulation interaction energy

Magnetotactic bacteria optimisation algorithm (MBOA) is a new optimisation algorithm inspired by the biology characteristics of magnetotactic bacteria in the nature. The original MBOA is vulnerable to premature convergence and has poor exploration capability. In this paper, a modified magnetotactic bacteria optimisation algorithm (MMBOA) is proposed to improve the performance of algorithm. It uses a kind of self-regulation interaction energy to enhance the diversity of the swarm for encouraging broader exploration. And as the number of iterations increases, the self-regulation interaction energy can keep MMBOA convergence. Convergence analysis of MMBOA is also implemented. The proposed algorithm converges to the global optimum with a probability one when the number of iterations tends to infinity. Experimental results on CEC2013 and a part of CEC2011 benchmark functions show that the proposed algorithm is efficient and robust, especially in optimising multimodal functions.
Context-Aware Recommender System based on Content Filtering

The use of context is important in interactive applications. It is essential for applications where the user’s context is changing quickly. Mobile applications can benefit from context awareness since they incur to context changes during their execution. Moreover, recommender systems can benefit from context awareness to produce more relevant recommendations by adapting them to the specific contextual situation of the user. This paper suggests an approach for building context aware recommender system. The approach implements user profile, content-based filtering and uses contextual information to create more beneficial recommender system. To evaluate our approach, we ran an experimentation on a mobile application implemented for the food and delivery services.
STUDI DESKRIPTIF MENGENAI MOTIVASI BELAJAR PADA SISWA SMA NEGERI 1 CISARUA

This study aims to determine the level of learning motivation in students of SMA Negeri 1 Cisarua, West Bandung Regency. The research conducted by the researcher is a quantitative research, while the method used is a quantitative descriptive method. Methods of data collection using a questionnaire, and study documentation. Data analysis with percentage technique, correlation with the help of SPSS for Windows version 20.0 program. Based on the results of research and discussion in this study, the following conclusions can be drawn. From the results of the equation formed, it can be explained that there are 20% of students whose learning motivation is low, 59% moderate and 21% high.Keywords: Learning Motivation, Students
Enhancement in data privacy using a dynamic cloud platform in E-healthcare system.

Cloud computing provides an advantage like Flexibly of space, Security, cost optimization, accessibility from any remote location. Hence its application is present in various field including healthcare. Even though cloud services provide various advantages over traditional storage, but still it is not completely evolved and users from healthcare cloud services faces some critical issues including lock in issue. Because of lock in issue healthcare system is depended on cloud vendor infrastructures, hence a data transition among different vendor is not smooth. Data privacy is also an important aspect of healthcare data storage and outsourcing of this data could compromise the data privacy. In this research a service-oriented cloud computing platform is proposed. This platform is present above heterogenous clouds and hence provides an advantage like maintain standards, easy customization and dynamic nature. This makes easier transition process for personal data among various vendor. While the experimental analysis Advanced Encryption Standard and light weight data privacy approach is used to protect the patient’s personal information. For performance analysis large medical records are used for testing scalability and real time performance. The result analysis shows the improvement in the data privacy and there is no extra overhead of computation or resources of proposed system.
Fx Job Recruitment

Agriculture is said to be the backbone of the economy. Farmers toil hard with different kinds of crops to make good and healthy food for the country. There are more existing systems but uses outdated machine-learning techniques based on RNN( Recurrent neural network) which makes the process slower and more time-consuming. Here We are proposing a new CNN(Convolutional neural network ) based system which is fast and gives accurate results within seconds. CNN is power-efficient and is more suitable for real-time implementation. In this project, we use CNN algorithms which is very much better than the RNN algorithms used in the existing system.More parameters will be taken for the consideration of prediction in the proposed system. And we use Random Forest Regression, Multiple Linear Regression