Reviewerly/exHarmony huggingface dataset:
The principles of planning educational process in the conditions of self-organization of students: synergetic approach

&amp;nbsp; The object of this research is the process of self-organization of students of the higher school. The subject is the principles of planning the educational process in the higher school in the conditions of self-organization of students on the basis of synergetic approach. The goal consists in theoretical substantiation of the model of educational process in the higher school in accordance with pedagogical synergetics. Research methodology is the pedagogical synergetics. Synergetic approach allows integrating the experience accumulated in pedagogical science and creating the model of educational process in the conditions of information society and the self-organizing learning environment. The authors examine the two approaches towards self-organization of students: personal and collective. The principles of planning the educational process in the conditions of self-study of students and rich information environment based on synergetic approach are proposed. The conclusion is made that synergetics can serve as a methodological framework for studying the phenomena of self-organization in the learning process of students in the higher school. The two forms of self-organization are determined: coherent (from homogeneous elements) and continual (from heterogeneous elements). It is demonstrated that progressive self-organization in pedagogical systems can be only of continual type. The article offers the following principles of planning the educational process by the type of continual self-organization: the principle of diversity at the entry to system, the principle of continuous interaction and openness of the system, the principle of nonlinearity of development, and the principle of system memory. The novelty of this work consists in formulation of the principles of pedagogical synergetics on the methodological level for planning the educational process of the students of higher school. The authors' special contribution lies in substantiation of the role of diversity and memory in the context pf self-organization in open pedagogical systems. &amp;nbsp;
Research on University Teaching Reform Method Based on Python Application

Python is an interpreted high-level language that embodies the characteristics of interaction, portability, and object-oriented. Its powerful functions are applicable in many operating systems, and the toolkit is also complete, in order to improve basic computer teaching in universities quality and efficiency, the article combines past Python teaching and scientific research experience, discusses how to carry out university teaching reform based on Python, and provides reference for the development of computer basic teaching and programming teaching in the future.
Efficient GPU Sharing for Serverless Workflows.

Serverless computing has emerged as a new cloud computing paradigm, where an application consists of individual functions that can be separately managed and executed. However, the function development environment of all serverless computing frameworks at present is CPU-based. In this paper, we propose to extend the open-sourced KNIX high-performance serverless framework so that it can execute functions on shared GPU cluster resources. We have evaluated the performance impacts on the extended KNIX system by measuring overheads and penalties incurred using different deep learning frameworks.
Efficiency of Fast Approximation Analysis Method by Machine Learning Using Active Learning

In optimization by simulation, the simulation time is increasing with the improvement of the analysis accuracy. In this study, a highly accurate approximator is constructed by learning using neural networks, and an effective active learning method is devised. If a large amount of data is prepared to approximate a simulation with high accuracy， it will take a huge amount of time to make an approximator, and the significance of making an approximator will be lost. Therefore, we created an approximator using a minimum amount of training data and focused on the characteristics of the training error at the points where the error is large, and confirmed that we can effectively estimate the training data and improve the accuracy for random training data.
Deep Detector Health Management under Adversarial Campaigns

Machine learning models are vulnerable to adversarial inputs that induce seemingly unjustifiable errors. As automated classifiers are increasingly used in industrial control systems and machinery, these adversarial errors could grow to be a serious problem. Despite numerous studies over the past few years, the field of adversarial ML is still considered alchemy, with no practical unbroken defenses demonstrated to date, leaving PHM practitioners with few meaningful ways of addressing the problem. We introduce turbidity detection as a practical superset of the adversarial input detection problem, coping with adversarial campaigns rather than statistically invisible one-offs. This perspective is coupled with ROCtheoreticdesign guidance that prescribes an inexpensive domain adaptation layer at the output of a deep learning model during an attack campaign. The result aims to approximate the Bayes optimal mitigation that ameliorates the detection model’s degraded health. A proactively reactive type of prognostics is achieved via Monte Carlo simulation of various adversarial campaign scenarios, by sampling from the model’s own turbidity distribution to quickly deploy the correct mitigation during a real-world campaign.
Islamic Song to Motivate EFL Students in Speaking Performance

The aim of this research was to find out the the effectiveness of English song toward students’ speaking ability and motivation at MA Darul Ulum Palangka Raya. This research used quantitative method that belongs to experimental design. For instruments, this study used speaking test and questionnaire. The population of the study were 64 students of tenth grade at MA Darul Ulum Palangka Raya. To analyse the data, researcher used SPSS 21 program. The result of this research showed, the students’ pre-test mean score in experiment class was 67,97 and the post-test mean score was 72,87. In contrary, the students’ pre-test mean score in control class was 71,27 and the post-test mean score was 69,43. In the end, English song is effective way to improve students’ speaking ability and motivation. Consequently, English song made the new words stay longer in their mind and help them to adapt to native speaker pronunciation. English song helped them to increase their motivation in speaking.
HOW THE COVID-19 PANDEMIC HAS AFFECTED THE VIRTUAL ECONOMY IN SECOND LIFE

The contribution focuses on virtual economy in general with a particular focus in Second Life one and its potential for profitability during the COVID-19 pandemic. The aim of the contribution is to give an insight to its sufficient potential to cover the cost of living of an individual as the main income or at least to make an added passive income that can complement what might be a reduction of income with the current lock downs. We define the virtual environment and the possibilities of creating content within the space. We aim at the application of principles in the virtual world, focusing on virtual content creators and reliability of the virtual economy during pandemic. We demonstrate the current situation by the shortened structured interview with one of the content creators. The self-employment opportunity in Second Life rests mostly on the talent of an individual as well as their ability to generate enough exposure to reach a target audience which secures the necessary revenue during the pandemic.
Gender Classification using SVM With Flask

AI Publications is an open access peer review international journal to publish the article in the field of Agriculture, Horticulture, Food science, Rural Development, Environment and Health Research, Chemistry, Mathematics,Physics.
Kinematic Reshade Reborn [1.36.X]

Kinematic Reshade offers some changes in the visual section of the game so that you can enjoy a more realistic and pleasant experience in your travels. ...
Electronics Product Promotion and SCM, Contemporary Research on Bangladesh

Purpose- This article aims to identify ​​in the blockchain, distributed ledger and cryptocurrency for national and international trade. This paper analyses and describes blockchain technology and its operation in various systems and ​​in commercial transactions. Besides, this article mainly provides an advanced explanation of this innovation that can access differently from different fields.Design- In this study, we demonstrate the conceptual framework in G20 countries and Internation trade.Implications- The descriptive diagrams of existing blocks indicating security delivered and real transactions. Also, it suppresses the description of the standard secretariats of key chains in the Single Commercial Law by undocumented values to improve the positioning of blockchain chains.Findings- Blockchain Technologies has the key to building a comprehensive global digital economy that is safe, audited and accountable to residents around the world. Besides, blockchain shows the role in the financial and industrial chain.The limitation- The system needs to rebuild confidence and trust in new financial cooperation.
All guides: Finding Case Studies: Key tips for searching

This guide explains the variety of case studies and how to locate them using Library resources.
School Administration According to the Sufficiency Economy Philosophy of Ban Ban Mor Charoen Under The Kamphangphet Primary Educational Service Area Office 2

Abstract This study aims to 1) study the school management condition according to the philosophy of Sufficiency Economy of Ban Mor Charoen School. Under the Office of KamphaengPhet Primary Educational Service Area 2 and 2) to compare opinions on the status of school management according to the philosophy of Sufficiency Economy of Ban Mor Charoen School. Under the Office of KamphaengPhet Primary Educational Service Area 2, the samples were 52 school administrators, teachers and personnel. The research tool was a questionnaire with an estimation scale. The statistics used for data analysis were percentage, mean, standard deviation, and t-test and ANOVA. Management of educational institutions according to the philosophy of Sufficiency Economy of Ban Mor Charoen School. Under the Office of KamphaengPhet Primary Educational Service Area 2, overall at a high level The sufficiency economy practice was the highest (3.78 average), followed by the success results. Organizing activities for student development In terms of curriculum and teaching, respectively, the comparison of opinions on the school management condition according to the philosophy of sufficiency economy showed that the school administrators, teachers and personnel with different gender, age, position and work experience had There were no differences in opinions towards school management according to the sufficiency economy philosophy and each aspect. Keywords: Management, Sufficiency Economy Philosophy, Ban BanMor Charoen School, Kamphangphet Primary Educational Service Area Office 2
New Normal Acceleration Strategy for Bali Tourism Destination Recovery with E-Tourism and Special Health Protocol for the Tourism Sector

Virtual tourism is accepted to make an advantage for bosses small scale of the travel industry through the offer of access administrations, however, all in large scale virtual tourism will affect essentially the travel industry goals in the truth of the experience since they can't be provided by the supplier. Virtual tourism just give looks and impressions, yet unfit to give a taste, smell, feeling, fulfillment, dedication, and dependability. Arranging a traveler visit may utilize different proposals offered by different suppliers. For booking travel tickets inside the nation, traveloka will be their decision with different advantageous installment choices gave. For booking global travel tickets they may pick TripAdvisor. For the choice of goals to be visited, potential sightseers will no doubt utilize the suggestions offered by Indonesia Virtual Tour, and Tripadvisor may be for determination of facilities, imminent travelers get more suggestions, however, who can show evaluations that are probably going to be trailed by expected voyagers. Regardless of how straight forward virtual tourism is, they have a significant job as an extension between the travel industry makers and likely voyagers. E-tourism created in Indonesia right now has not addressed the most significant part of giving data and assurance to sightseers when they decide to visit vacationer goals. The vast majority of the suppliers that fabricate virtually the travel industry frameworks have the point of building up a business association or business affiliations with entrepreneurs, for example, convenience administrations, tagging administrations, eatery administrations, and different administrations focused on business. Another technique arranged to quicken the recuperation of Bali's travel industry is to make and set explicit well-being gauges. Explicit Health Standards arranged for the travel industry as expressed in Circular Letter Number 3355 of 2020 concerning the new ordinary Protocol for the Bali Tourism Sector.
Omparative Analysis of Pre-Trained Classifier in Augumented Approach for Ovarian Image

Ovarian cancer is identified as one of the leading cause for increased mortality rate among women. The early diagnosis of ovarian cancer decreases the mortality rate, which demands for efficient classification technique. Conventional cell classification technique extracts multiple features for recognition of ovarian cancer from complex cell texture with identification of difference between cells. To resolve complexity associated with ovarian cancer cell texture analysis deep neural network exhibits improved performance. In deep learning technique, features are extracted automatically for identification of cell types and texture. However, Annotation based approach exhibits improved classification performance still performance need to be improved for automated cancer diagnosis. To achieve higher accuracy rather than annotation this paper proposed an augmentation of MRI ovarian image. The augmented images are pre-processed with median filtering for contrast enhancement. In next stage, ROI based image segmentation is performed followed by feature extraction. To improve classification performance of augmented images CNN model Inception V3 and Xception model is comparatively examined. The performance of Inception V3 and Xception model is evaluated with Logistics Regression and Random Forest classifiers. The comparative analysis of simulation results expressed that Xception Logistic Regression model provides higher accuracy than the Inception V3 Logistics regression, Inception V3 Random Forest and Xception Random Forest.
Ecocriticsm as the Development of Teaching Materials in Literary Theories and Appreciation Courses

Eco Criticism or known as Literary Ecology which was popularized by Greg Gerrad has become a rare scientific discourse if it synergizes with the Indonesian character of education which is one of the educational pillars of the ministry of education. The resonance of these two scientific clumps between environment and literature to be the main topic promoted to realize the value of character education no 16 which is concerned about environment. To achieve this goal, this research using research and development by Plomp in order to form a form of book materials of Eco criticism as applied literary in education. The results obtained in the application of the ecological characteristics of literature which include the main elements, namely Pollution, Position, Pastoral, Wilderness, Apocalypse, Dwelling, Animal, Future the earth in a form of field test for students are 87.42 and expert validation 92.3%, media 95, 3%, and 92.3% language in the course of literary theory and appreciation of English language education, the Faculty of Teacher Training and Education, Majapahit Islamic University of Mojokerto.
안전보건문화가 안전보건경영시스템 인증에 미치는 영향 : 전자산업을 중심으로

Purpose : This study was conducted to contribute to the correct settlement of OSHMS certification by analyzing how the safety and health culture of electronic industry is affecting OSHMS certification. Methods : This study surveyed 714 electronics industry company sites nationwide. Results : It turns out that the possibility of certification of the safety and health management system is high in the following cases. In the case of having qualifications related to the relevant field, and then the total number of workers is 20 or more, and When it comes to the safety and health culture, it's every single point up from five. Conclusion : Ability to specialize in safety and health is required. It suggests that the company should come up with measures to promote the need and effectiveness of OSHMS certification for company sites with less than 20 employees, and to raise the attention of CEO that showed the most significant differences in sub-regional items of safety and health culture in order to improve the safety and health culture.
The open access for the education contents at Arab Open University according to student orientation modern technologies and the international attitudes اننفار انحر نهمحتىي انتعهيمي ببرامج انجامعت انعربيت انمفتىحت في ضىء اتجاهاثانطهبت وانتقنياث انحذيخت وانتىجهاث انعانميت

This quantitative study aims to identify the open access and feasibility of methods for the education contents at Arab Open University, under the level of trends of methods at Arab Open University. The study sample of consisted of 30 students from the fourth Master Program batch. The study utilized two measurements for data collection. The study found that the digital repositories, directory of open access and electronic books are considered the usable resources for student. While the open access is the lowest source that student use. Moreover, the study found the legal and technical obstacles are one of the most obstacles are one ofthe most that face open access at Arab Open University. However, technological and moral obstacles that face open access in Arab Open University. Finally, researcher suggested the number of recommendation and proposals that support open access at the university.
Future Focus: Art Hack Practice Session III: Then and then

The third event in the Future Focus: Art Hack Practice series is exploring the implications of the COVID-19 pandemic in society and culture.As the world shows the first signs of emerging towards a slow and long recovery from the COVID-19 pandemic, we are examining art, making and curatorial practices to reflect on pandemic and post-pandemic times and consider what the implications of this outbreak might be for our practices.What insights have we been acquiring as we navigate through these challenging times? And, as we turn more to online spaces to work, exchange, consume or socialise, what are the implications for community, engagement, collaboration or education during and after this crisis?Hosts: Victoria Bradbury, Suzy O’Hara and Irini PapadimitriouPanellists: Ellen Pearlman, Olga Mink, Olof MatheRespondent: Jessica Thompson Watch againFuture Focus: Art Hack Practice Session III: Then and then can be viewed here:https://www.facebook.com/FutureEverything/videos/271504303961065
Performance Analysis of Deep Learning Inference in Convolutional Neural Networks on Intel Cascade Lake CPUs

The paper aims to compare the performance of deep convolutional network inference. Experiments are carried out on a high-end server with two Intel Xeon Platinum 8260L 2.4 GHz CPUs (48 cores in total). Performance analysis is done using the ResNet-50 and GoogleNet-v3 models. The inference is implemented employing the commonly used software libraries, namely Intel Distribution of Caffe, TensorFlow, PyTorch, MXNet, OpenCV, and the Intel Distribution of OpenVINO toolkit. We compare total run time and the number of processed frames per second and examine the strong scaling efficiency when using up to 48 CPU cores. Experiments have shown that OpenVINO provides the best performance and scales well up to 48 cores. We also observe that OpenVINO in the Throughput mode compared to latency mode accelerates inference from 4.9x for an image batch size of 1 to 1.4x for an image batch size of 32. We found that INT8 quantization in OpenVINO substantially improves the inference performance while maintaining almost the same classification quality.
Zero-shot image classification based on factor space

Image recognition technology has become a popular research topic with the progress and development of big data and artificial intelligence technology. This study applies factor space to the semantic embedding space, maintains the consistency between the high-level semantic and low-level image feature spaces, and establishes a direct connection between the data features and information expressed by images to bridge the semantic gap in zero-shot learning. The factor space of the improved algorithm was applied to the image classification model to improve the traditional convolution neural network model and build a new zero-shot image classification model using the AWA2 experiment dataset. A zero-shot was proposed and compared with the traditional zero-shot image classification method DAP and IAP. The new algorithm cannot only reduce the operation time but also improve the zero-shot image classification performance.
Viewpoint: Everyone a librarian!?

Some years ago, in a moment of transition in leadership for a major special collections library, I was part of an advisory group where the prevailing opinion was that a faculty member with passionate interests in the research focus of the institution could successfully occupy the position of head librarian. We did not need someone with an MLIS degree, a PhD in a field related to the collections areas would do fine.
A qualitative study on the perceived impact online asynchronous professional development has on online adjunct faculty and student engagement in the online environment

Advances in distance education provide rural and underserved students the opportunity to attend higher education institutions regardless of students' geographic location. With the growth of online programs being offered and the number of adjunct faculty being used, higher education institutions must expand professional development opportunities in a format and delivery method that meet online adjunct faculty's needs.This qualitative study assessed a professional development model that provides online adjunct faculty with AVID for Higher Education's (AHE) high-engagement strategies in an online asynchronous delivery method. This method allowed flexibility for online adjunct faculty to participate at times and locations of their choice. The Design-Based Research framework allowed the researcher to play an active role within the study. Guskey's Five Critical Levels of Professional Development framework assessed the online asynchronous delivery method and the participants perceived this method to be effective in training adjunct faculty. Online adjunct faculty perceived AHE's strategies to increase student engagement and create an environment of inclusiveness. The MEASURE Model was perceived to be effective in providing distance learning facilitators a framework to design an online professional development course. (PsycInfo Database Record (c) 2021 APA, all rights reserved)
Voice Navigation Google Maps In Indonesian Language 1.35.X

Indonesian voice navigation mod. Modifications to the game version 1.35.1.1 do well tell me if you see an error, I will improve in the next version of ...