Reviewerly/exHarmony huggingface dataset:
Problems of distance education in the context of philosophy of personal education

Analyzed is experience of distance education in the context of the coronavirus pandemic. In the context of education quality problems, attention is drawn to the inability of most students to organize their independent work and low motivation for independent mastering of the specialty. Meanwhile, under conditions of rapid development of technologies, rapidly changing economic conditions, flexible and timely planning in the context of overcoming the production crisis, specialists, who possess modern technologies in a narrow field, programming languages and the skills of working on specific equipment, are required. But, at the same time, employers are interested in well-educated and big-minded professionals, for example, crisis managers. Graduates should have broad knowledge that allows them to quickly adapt to new requirements, independently choose and master new professions in the future, receiving necessary education, navigate growing flows of information, strive for self-education and self-development, which should be based on the motivation of independent learning. The article focuses on the role of humanitarian knowledge, mastery of which is the basis for self-education and self-development. The definition of the concept of “philosophy of personal education” as a system of thinking in which the principles of philosophy of education are projected onto a personal assessment of one’s own physical, intellectual, spiritual, moral and ethical potential as a foundation for self-education and self-development is given. On the basis of philosophy of personal education, abilities, intellectual and creative potential of the individual are realized and a clear motivation for the need to master a particular specialty and self-improvement in this area is determined.
Parallelization Strategy Using Lustre and MPI for Face Detection in HPC Cluster: A Case Study

The hardware requirements in object detection systems make these applications a challenge in their development given the high consumption of processing and memory they require for their execution. The detection of certain characteristics; in the case of a face, the profile, as well as the lighting, the distances and the numbers of objects are factors that influence the proper functioning and performance of these implementations. This paper presents an alternative to solve part of this problem through a parallelization strategy using Luster and MPI-IO for face detection in the HPC Cluster. We compare Dlib and OpenCV with our alternative based on the Viola-Jones algorithm called Facedetector_MPI. The tests were executed in HPC cluster with 7 nodes (1 metadata server, 2 object storage server and 2 and 4 lustre clients) and we used images since 4 to 148 faces. The results showed an important reduction in the read time of the image file compared with OpenCV of about 50% when the files are bigger to the stripe size(>1MB). Better is the increase obtained in processing around double compared with Dlib in the large images(>2Mpx) without greatly affecting the hit rate in the face detection.
Résumés en Français

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Résumés en Français. Am J Intellect Dev Disabil 1 November 2019; 124 (6): 583–584. doi: https://doi.org/10.1352/1944-7558-124.6.583 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest Search
Persepsi Mahasiswa Terhadap Manajemen Kelas Mata Kuliah Administrasi dan Supervisi Pendidikan di Universitas Negeri Padang

The purpose of this research was look for information about classroom management of lectures on Administration and Supervision of Education in Universitas Negeri Padang. This is a descriptive research. The population is 1055 students and, the sample is 148 college students. That was taken by propotional simple random sampling. The instrument of this research was a questionnaire with Likert scale models that had been tested for its validity and reliability. The results of this research show that classsroom management of lectures on Administration and supervision of education in Universitas Negeri Padang is good enough with scores 3,51.
Electronic Mentoring as an Electronic Learning Technology in Public Service

Electronic mentoring as an innovative technology in training is becoming increasingly popular in the public service. To this end, the authors of this paper have developed a conceptual framework for an intra-organizational learning environment based on the use of game modeling that would promote professional development and personnel evaluation. The basis of the intra-organizational learning environment design is the methodology of visual graphical modeling and the method of production rules construction. The learning environment ensures the variability and continuity of educational programs organized by position and by personnel procedures. In the course of preliminary testing, an initial measurement of the employee’s professional competencies is performed, followed by comparison with the professional competencies expected for that particular position and the assessment of changes. The results of the assessment are transferred to a visual graphical model. Based on the results of the assessment, the system automatically puts the employee on reserve or assigns them a training program. The training process for a particular position is based on the principles of “learning through playing” and visual imitation. The passage of personnel procedures is based on a sequence of production rules; the application of gaming techniques means that the proposed scenarios are not the product of an abstract generalization, but a real personnel procedure. The article considers the problems and features of modeling the educational environment, as well as the experience of the research team of the Moscow Technological University in the development of production rules and the creation of simulators for civil servants to develop regulations and acquire new skills.
Action recognition using pose estimation with an artificial 3D coordinates and CNN

Activity recognition and pose estimation are ingeneral closely related in practical applications, even though they are considered to be independent tasks. In this paper, we propose an artificial 3D coordinates and CNN that is for combining activity recognition and pose estimation with 2D and 3D static/dynamic images(dynamic images are composed of a set of video frames). In other words, We show that the proposed algorithm can be used to solve two problems, activity recognition and pose estimation. End-to-end optimization process has shown that the proposed approach is superior to the one which exploits the activity recognition and pose estimation seperately. The performance is evaluated by calculating recognition rate. The proposed approach enable us to perform learning procedures using different datasets.
Advanced C# Language Features

In this chapter, you’ll deepen your understanding of the C# programming language by examining a number of more advanced topics. To begin, you’ll learn how to implement and use an indexer method. This C# mechanism enables you to build custom types that provide access to internal subitems using an array-like syntax. After you learn how to build an indexer method, you’ll see how to overload various operators (+, -, <, >, etc.) and how to create custom explicit and implicit conversion routines for your types (and you’ll learn why you might want to do this).
The Case of Alicia: Understanding Selective Mutism and Alopecia within a Cultural Framework

Alicia’s case is one of selective mutism combined with alopecia areata/universalis within a Latino cultural setting. This case evidenced a level of anxiety that appears to be related to linguistic and acculturation stressors. For example, one of the most fascinating characteristics of Alicia’s presentation was that her mutism seemed limited to the United States. Conversations held with Alicia’s parents provided some clarification, once her father shared his own struggles with both the culture and the language in the United States. Sensitivity to these struggles allowed the therapist to provide the empathy needed by the parents that permitted an exploration of feelings that included both linguistic and cultural issues. Similarly, it seems that the provision of bilingual-bicultural therapy allowed the therapist to establish a trusting relationship with Alicia’s parents in their primary tongue while bridging cultures when needed.
The Mandela effect, Déjà vu and possible interactions with the parallel world

This paper will emphasize the objective reality through a set of related given phenomena like the most famous Mandela effect and its relation with false memory, confabulation and parallel happenings of day to day world like the Déjà Vu and its mathematical structures which will solely focus on the “Parallel World” or the many world scenario as predicted by the String Theory in the form of Multiverse or Multiple Universe through the perspective of physical reality. The mathematical structure has been formed using Topology and Differential Calculus which will interprets the Physics and Philosophy of this type of Happenings. The possible outcome of these phenomena has been discussed thoroughly using logics &amp;amp; mathematics which will insight into a far more in-depth concept by taking us in exploring the 2-Time Dimensions [1] [2] (Instead of 1) in this universe and the related outcome or consequences of this more than 1 Time Dimensions. Moreover, this paper aims to provide the repetition or Looping of Timelines in a 2D Minkowski lightcone with the help of induced mathematics (exponential wavefunctions) which results in the occurring of same event in a synchronic pattern as predicted by different fiction stories along with a desired property which will pave the way to prove that, ‘N” past timelines are connected with “N+1+1……” future timelines and it is the law of nature to select the appropriate future timelines related to the past timelines in which the past timelines will be attached to those future ones which have the least degrees of errors in the “exponential wavefunctions” introduced in this paper. After completing this, we will go to a further analysis of the ‘self inflicting timelines and the death loops, which has been a source of major Sci-Fi motion pictures and we will mathematically prove the minimal and the maximal amount of “time loops’ in our 4-Dimensional world.
PERAN SISTEM INFORMASI MANAJEMEN DALAM MENINGKATKAN MUTU PENDIDIKAN

The world of education must always keep abreast of the times, especially in the field of science and technology. In order to improve the quality of education, it is influenced by the understanding and use of science and technology, because education is now in the Revolutionary Era 4.0 which prioritizes the use of technology. In improving the quality of education, the main actors are educators and students. For this reason, educators and students must know how to use the information system wisely.
Are Ontological Questions Really Meaningless?

An influential critique of ontology, traditionally linked to Rudolf Carnap, logical empiricism, and verificationism, has it that ontological questions and statements are meaningless. In recent years, Amie Thomasson has revived this Carnapian critique, albeit in a non-verificationist version. This chapter argues that the meaningfulness of ontological statements can be vindicated by appealing to considerations compatible with Thomasson’s Carnapian approach. Two possible avenues are explored. The first is that of specifying the assertibility conditions of ontological statements like ‘There are Fs’, by providing an adequate rule of use. The second is that of spelling out the truth-conditions of the same ontological statements by means of a T-schema where the right-hand side is a sentence formulated in a language specifically introduced for doing ontology—what several authors call ‘Ontologese’. It is proposed that Ontologese be introduced as a bona-fide Carnapian framework, and this option is defended against a number of objections.
Ensemble Clustering Data Mining and Databases

Standard clustering algorithms employ fixed assumptions about data structure. For instance, the k-means algorithm is applicable for spherical and linearly separable data clouds. When the data come from multidimensional normal distribution, so-called EM algorithm can be applied. But in practice, the assumptions underlying given set of observations are too complex to fit into a single assumption. We can split these assumptions into manageable hypothesis justifying the use of particular clustering algorithms. Then we must aggregate partial results into a meaningful description of our data. The consensus clustering does this task. In this chapter, the authors clarify the idea of consensus clustering, and they present conceptual frames for such a compound analysis. Next, the basic approaches to implement consensus procedure are given. Finally, some new directions in this field are mentioned.
Fall Prevention Literacy among Thai Elderly: A Cross-Sectional Study in a Municipal Community Context

Objective: To assess the proportion of fall prevention literacy and identify factors related to fall prevention literacy among Thai elderly in the municipal community context. Materials and Methods: A cross-sectional study was conducted among the elderly aged 60 to 69 years in the Sakon Nakhon Municipality, Sakon Nakhon Province, Thailand. The sample size based on a simple random sampling. One hundred forty-five older persons were interviewed using a fall prevention literacy questionnaire. The data were analyzed with descriptive statistics such as frequency, percentage, mean, standard deviation, and 95% confidence interval (CI). Chi-squared, crude odds ratio, adjusted odds ratio (AOR), and multiple logistic regression statistics were used to evaluate the factors related to fall prevention literacy. Results: The response rate was 97.22%. Most elderly were female, married, had chronic morbidity, and had a caregiver. The proportion of fall prevention literacy in respondents was inadequate at 50.70%, 95% CI 42.46 to 58.94. Multiple logistic regression analysis showed that chronic morbidity (AOR 2.24, 95% CI 1.04 to 4.48) and health education by village health volunteers (AOR 3.17, 95% CI 1.12 to 9.00) were statistically related to adequate fall prevention literacy. Conclusion: Half of the elderly had inadequate fall prevention literacy. Therefore, to improve the fall prevention literacy among the elderly, it is important to consider elderly targets without chronic morbidity, and the village health volunteers are the key persons to educate and enhance fall prevention literacy among community-dwelling elderly. Keywords: Fall prevention literacy, Elderly, Municipal
Data Classification

Neural networks have an incredibly large range of applications. Classifying data is a prominent one, and this chapter is devoted to it.
Computing with Cloud Functions

This Chapter describes the purpose of Cloud Functions as well as how to implement and deploy the functions. Cloud Functions is a serverless compute service provided by Google Cloud Platform (GCP). Cloud Functions is similar to App Engine in that they are both serverless. A primary difference, though, is that App Engine supports multiple services organized into a single application, while Cloud Functions supports individual services that are managed and operate independently of other services. App Engine is a good serverless option for web applications that have a front-end user interface running in one service, a set of APIs running in one or more other services, and business logic running in another service. The services together make up the application, so it makes sense to treat them as a single managed unit. Not all computing requirements need multiple services. For example, your department may upload a daily data extract from a database, which is then loaded into an enterprise data warehouse.
How to Be a Good Customer: Building and Maintaining Productive Relationships with Vendors

SUMMARY. Anderson and White discussed how librarians assist in achieving the greatest benefit for both parties from a library service vendor relationship. All aspects of the relationship were covered, from a library’s first contact with a vendor through the negotiations of the final deal, to ongoing contacts and troubleshooting. The presenters focused on key themes such as treating the vendors and their representatives respectfully, how much librarians should prepare and inform themselves prior to meeting with representatives, and the difference between being assertive and being unreasonable. In short, just as the vendors have obligations to their customers, libraries have obligations to their vendors. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com&gt; Website: &lt;https://www.HaworthPress.com&gt;]
Efektivitas Metode Permainan dalam Meningkatkan Hasil Belajar Mahasiswa Materi “Simple Future Tense” pada Mahasiswa STABN Sriwijaya Tangerang Banten

The effectiveness of the method of the game is one interesting study that the author has not found in a Class Action Research (PTK), especially in the use of English, the "Simple Future Tense" at the Sriwijaya Buddhist State College Tangerang, Banten. This research was conducted in order to find effective methods of play in improving student learning outcomes material "Simple Future Tense" (a case study of students STABN Sriwijaya Tangerang Banten).This research method is Action Research (PTK) using Kemmis and Taggart (1993), which consists of four stages, namely: planning, action, observation and evaluation, and reflection. The subjects were students majoring Dharmacarya at STABN Sriwijaya Tangerang Banten semesters III and V of 36 students. Data analysis technique performed on three groups of data, i.e. the results of student learning, the observation of colleagues, and researcher field notes.The results showed that the method games, error correction, and intensive discussion group was found to improve student learning outcomes. The results showed that an increase in the acquisition value of the students after the improvement of learning as much as three cycles, with the acquisition of a minimum value of 60 by 2 people and a maximum value of 100 as one people, with an average value showed an increase of student learning outcomes, ranging from the average value 54.32 in the first cycle, the average value in the second cycle 88.10, and the average value in the third cycle 97, and all students were 36 students completed the study expressed Simple Future Tense ".The conclusion from this study is the game method, error correction, and intensive discussion group was found to improve student learning outcomes, and all students were 36 students completed the study expressed Simple Future Tense.Keywords: Effectiveness, classroom action research, and observation.
Improving Solution Architecture of Internet of Things to Support a Successful Implementation of Digital Transformation in the Context of 2030 Vision of Saudi Arabia

Internet of Things (IoT) is an information exchange system between computing devices and people over a network. Because IoT is new to Saudi Arabia (SA), no business model in the public sector provides it, making it difficult to adopt. The results of 55 studies show that one challenge for adopting IoT in SA is a lack of a consistency in designing a dynamic solutions architecture to coordinate the required support to integrate IoT into the SA digital transformation plan. Another challenge is a lack of government standards. This study summarizes the problems that researchers and developers face in managing IoT activities for a dynamic solutions architecture for Saudi Vision 2030. It explores how to define a dynamic solutions architecture for any IT platform, based on design, implementation, experimental validation, and evaluation of the effects on system quality. To begin, this study provides an overview of IoT and details to enable IoT technologies for public and private sectors to help achieve Saudi Vision 2030.
Principal components analysis.

<title>Abstract</title> This chapter focuses on how to conduct a principal components analysis. To conduct principal components analysis, R has two similar built-in functions prcomp and princomp in the default stats package. Other implementations can be found in various downloadable packages, e.g. the function PCA from the package FactoMineR, the function dudi.pca from the package ade4 and the function acp from the package amap. The functions prcomp and princomp employ different calculation methods but in practice the results they return will be almost identical.
Exploration of the Location-Identity Split

Superblocks must work. Given the current status of homogeneous configurations, security experts particularly desire the simulation of 802.11b. we consider how the Internet can be applied to the refinement of Scheme.
Evaluation of the Length of Hospital Stay Through Artificial Neural Networks Based Systems

The mentality of savings and eliminating any kind of outgoing costs is undermining our society and our way of living. Cutting funds from Education to Health is at best delaying the inevitable “Crash” that is foreshadowed. Regarding Health, a major concern, can be described as jeopardize the health of Patients – Reduce of the Length of Hospital. As we all know, Human Health is very sensitive and prune to drastic changes in short spaces of time. Factors like age, sex, their ambient context – house conditions, daily lives – should all be important when deciding how long a specific patient should remain safe in a hospital. In no way, ought this be decided by the economic politics. Logic Programming was used for knowledge representation and reasoning, letting the modeling of the universe of discourse in terms of defective data, information and knowledge. Artificial Neural Networks and Genetic Algorithms were used in order to evaluate and predict how long should a patient remain in the hospital in order to minimize the collateral damage of our government approaches, not forgetting the use of Degree of Confidence to demonstrate how feasible the assessment is.
The Penumbra Problem

In this chapter, the author discusses how blockchain falls between the cracks in legal systems. Beginning with an account of the prosecution of one cryptocurrency founder for securities fraud, the chapter then goes on to show how blockchain's unique structure makes it particularly difficult to regulate, and how regulators have struggled to catch up.