Reviewerly/exHarmony huggingface dataset:
Applications of Backpropagation and Conjugate Gradient Neural Networks in Structural Engineering

This chapter briefly describes the backpropagation and conjugate networks in structural engineering. The first portion of the section deals with the basic framework of backpropagation and conjugate gradient network. The second portion presents the literature review of research works associated with the application of neural networks in structural engineering. The third section deals with the pros and cons of neural networks. The final part deals with the identification of the problems associated with the neural networks and emphasis on possible solutions to overcome the issues. Finally, conclusions derived from the research study are provided.
Rydberg Entangling Gates in Silicon

In this paper we propose a Rydberg entangling gate scheme which we demonstrate theoretically to have an order-of-magnitude improvement in fidelities and speed over existing cold atom protocols. It requires a large Rabi frequency compared to the interaction strength, which is difficult in cold atoms, but natural in donors in silicon, where it could help overcome the strenuous requirements on atomic precision donor placement and substantial gate tuning, which so far has hampered scaling. Furthermore, the gate operation would be ultrafast, on the order of picoseconds. We calculate multivalley van der Waals, induced electric dipole and total Rydberg interactions for several donor species using the finite-element method and show that they are important even for low-lying excited states. We show that Rydberg gate operation is possible within the lifetime of donor excited states with 99.9% fidelity for the creation of a Bell state in the presence of decoherence.
Classification of different skarn deposits based on the compositional variability of associated grandite garnets: a data science and Machine Learning approach

&amp;lt;p&amp;gt;Rapid technological improvements made in in-situ analysis techniques, including LA-ICPMS, have transformed the field of analytical geochemistry. This has a far-reaching impact for different petrogenetic and ore-genetic studies where minute major and trace element compositional changes between different mineral zones within a single crystal can now be demarcated. Minerals such as garnet although robust are quite sensitive to the changing P-T and fluid conditions during their formation. These minerals have become powerful tools to characterize mineralization types. Previously, Meinert (1992) has used in-situ major element EPMA analysis results to classify different skarn deposit based on the end-member composition of hydrothermal garnets. Alternatively, Tian et al. (2019) used the garnet trace element composition for the similar purpose. However, these discrimination plots/ classification schemes show major overlap in different skarn deposits, such as Fe, Cu, Zn, and Au. The present study is an attempt to use machine learning approach on available garnet data to found a more potent classification scheme for skarn deposits, thus reaffirming garnet as a faithful indicator for hydrothermal ore deposits. We have meticulously collected major and trace element data of Ca-rich garnets, associated with different skarn deposits worldwide from 40 publications. This collected data is then used to train a model for fingerprinting the skarn deposits. Stratified random sampling method has been used on the dataset with 80% of the samples as test set and the rest 20 % as training dataset. We have used K-nearest neighbour (KNN), Support Vector Machine (SVM) and Random Forest algorithms on the data by using Python as a platform. These ML classification algorithm performs better than the earlier existing models available for classification of ore types based on garnet composition in skarn system. Factor importance is calculated that shows which elements play a pivotal role in classification of the ore type. Our results depict that multiple garnet forming elements taken together can reliably be used to discriminate between different ore formation settings.&amp;lt;/p&amp;gt;
LibGuides: eBooks and Overdrive: Proquest

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A Machine Learning Approach for Predicting Human Preference for Graph Layouts

Understanding what graph layout human prefer and why they prefer is significant and challenging due to the highly complex visual perception and cognition system in human brain. In this paper, we present the first machine learning approach for predicting human preference for graph layouts. In general, the data sets with human preference labels are limited and insufficient for training deep networks. To address this, we train our deep learning model by employing the transfer learning method, e.g., exploiting the quality metrics, such as shape-based metrics, edge crossing and stress, which are shown to be correlated to human preference on graph layouts. Experimental results using the ground truth human preference data sets show that our model can successfully predict human preference for graph layouts. To our best knowledge, this is the first approach for predicting qualitative evaluation of graph layouts using human preference experiment data.
Structure Optimization and Verification of Portable Intelligent Gauge Calibrator

Abstract Portable intelligent gauge calibrator is a new type of gauge calibrator to replace the traditional gauge calibrator. It can effectively solve the problems of traditional gauge calibrator, such as unable to carry out on-site measurement, too large volume, low degree of intelligence and so on. In view of the problem that the maximum stress of the connector of the horizontal measuring platform is too large in the trial operation of the portable intelligent gauge calibrator, this paper puts forward a solution combining topology optimization with practical experience. The test shows that the method is effective and feasible.
Αυτόματος διαχωρισμός φωτογραφιών και γραφικών υπολογιστή με χρήση τεχνικών βαθιάς μάθησης

This diploma thesis deals with the issue of automatic separation of photos and computer graphics using deep learning techniques. In recent years, the rapid development of technology has brought numerous positive effects on the life of the human species, but at the same time, several negative phenomena have occurred. One of them is the manufacture of fake images, using computers, which are too realistic, while it being impossible for the human eye to discern and detect any difference in relation to real photos. With the creation of plausible computer graphics, various risks lie in wait, such as identity theft, misinformation, manipulation, etc. The scientific community, and especially the criminology community, is called upon to address this problem and, obviously, to develop appropriate, automatic systems aimed at solving it. Modern development and innovations in the field of machine learning and, in particular, deep learning, give the possibility of developing such powerful systems that are capable of countering the problem. Previously, systems were created based on statistical models or other types of models, which, more generally, require complex calculations. With the use of deep neural networks, the whole process of classifying images, between computer graphics and photos, is automated and simplified in relation to existing systems. In this diploma thesis, we developed software in the Python programming language and with the use of the TensorFlow and Keras libraries, which include the appropriate database. The database consists of 9700 images evenly distributed in the two categories. Finally, we developed code that implements fine-tuning and transfer learning techniques for the training of a resident neural network, which achieves an accuracy of about 95%, and code for a simpler 13 layers model which reaches about 86% accuracy.
The challenges of using video conferencing in educational supervision in the Sultanate of Oman: educational supervisors’ perspectives - تحديات استخدام مؤتمرات الفيديو في الإشراف التربوي من وجهة نظر المشرفين التربويين بسلطنة عمان

This paper aims to discuss the difficulties of using videoconferencing in supervisory practices,from an educational supervisory perspective. Whereas, although video conferencing is important;The number of educational supervisors who use it is not commensurate its value and significance, asstudies have reported on this technology, perhaps as a new technology. Therefore, the study aimed: todiscuss the technical challenges, and the human challenges facing the use of videoconferencing technologyin supervision. The researcher used the descriptive and analytical method, whereby a questionnaire wasdesigned consisting of two axes: The first for technical difficulties consists of (11) phrases, and the secondfor human difficulties consists of (9) phrases. It was applied to a sample of (322) educational supervisors.The study found the following results: The existence of material obstacles that came to a large extent aboutthe use of videoconferencing in supervisory operations, as the weakness of the Internet in someremote areas came in first place the highest arithmetic average of (4.19), followed by “weakinfrastructure of schools and directorates. Educational governorates with an average of (4.08). Followed bythe presence of human obstacles that came a moderate degree regarding the use of video conferencingtechnology in supervisory operations. Lack of training in employing videoconferencing technology came infirst place the highest arithmetic average of (3.96). The study includes a set of recommendations, including preparing an integrated guide to explain the mechanism of activating video conferencing in supervisory work. It includes analyzing and studying the psychological, technical and material factors facing the activation of video conferencing.
Interactive Demo: Visualization for Bitcoin Mining Pools Analysis

We demonstrate an interactive visualization tool to analyze Bitcoin mining pools. The tool allows analysts to see the evolution of mining pools distribution over time and relationships with external variables, i.e., Bitcoin statistics and news headlines. Moreover, we also display information about pool hopping among mining pools to help understand the internal dynamics of miners.
KAJIAN UNSUR INTRINSIK DAN NILAI PENDIDIKAN CERITA CEKAK DALAM MAJALAH JAYA BAYA SERTA RELEVANSINYA SEBAGAI BAHAN AJAR APRESIASI SASTRA JAWA KELAS X SEKOLAH MENENGAH ATAS

The aims of this study are to describe the intrinsic elements and education values of the short stories in Jaya Baya Magazine in the edition of August to October 2014, and to describe the relevance of the intrinsic elements and education value of the short sories in Jaya Baya Magazine as teaching materials in Javanese literature appreciation in Senior High School class X. The results showed that the majority themes in the short stories is traditional-based themes. The plot used by the authors in the short sories is chronological plot. The characters consist of the main characters and supporting characters. Characterizations raised through the physical, psychological, and social background. Psychical character was raised by expository and dramatic technique. The setting includes places, time, and social. The point of view which is majority used is first-person perspective. The messages which are conveyed are regarding to attitudes towards oneself, against others, and against God. Moral values are most numerous in Welingmu and Mbah Kakung. Social value in Welingmu and Oncating Cahya. Cultural values in Nglegok. Religious value in Welingmu, Mbah Kakung, and Oncating Cahya. Based on the results of the study on the intrinsic elements and education values, the short stories in Jaya Baya Magazine in the edition of August to October 2014 can be used as teaching materials Javanese literature appreciation in Senior High School Class X.
Integrative space of a pedagogical university as a qualitative resource for successful self-actualization of future teachers in a city context

In the context of the unstable development of contemporary civilization, attempts to consolidate efforts among the pedagogical community to ensure the proper quality of education in the 21st century are becoming more and more relevant. It seems that the solution to such an urgent problem is feasible by developing an additive integrated model of pedagogical management based on the implementation of the integrative educational space of a pedagogical university (hereinafter – IESPU). According to the authors, the emergence and constant reproduction of relationships between the administration and employees of educational organizations of higher education to achieve the strategic goals of the university should become the main goal of developing such a pedagogical university management model. The methodological basis for the development and implementation of an additively integrated model of pedagogical management is the integrative and spatial approaches that determine the feasibility of designing IESPU and allowing providing access to the formation of teachers’ subjectivity in their own professional activities in the context of continuous personal and professional self-development. The authors consider it appropriate to offer a certain set of areas, essential in their opinion, for planning and developing an additive model of pedagogical management in the context of designing and implementing IESPU, taking into account its qualitative, spatial-temporal, socially-determined, and scientifically-grounded parameters, as well as the urban environment in which pedagogical universities are located.
МЕТОДИКА ОЦЕНКИ ДОСТОВЕРНОСТИ СОЦИАЛЬНО-ПОЛИТИЧЕСКОЙ ИНФОРМАЦИИ

The article presents the results of a study on the development of methodology for assessing the of socio-political information. In the course of the study, the psychological content of the concept of reliability was clarified, indexes and indicators of the of information messages were detected, a methodology for assessing the of information message of social and political content was designed and tested.
Dedication of an OTD habit by employment of stiff upper lip of YY nuts and bolts applying nature of a at cutting edge endowment

This work introduces an original group of classic computer situated on the computational essence practiced in the IV differentia of QS - program using VW - disposition and S routine. A superior lineup and more in the know or streetwise project with a preferred categorization should be tested to recover the honesty of this different mechanism for added pondering and opinion on account of they shoud be thoroughly there on gadget verification mechanism. In current experiment, the writers bring out the contemporary verification over composers have not as yet tried from the time 2003 with other authors considering biographers have done and might not been qualified for 3 years. A more advanced form and more refined planning with a more useful computation should be exercised to perk up the safety of the unused mode for else exercise and decision since they are entirely true-hearted on machine evidence style. A superior disposition and more switched on angle with a better cast can be tested to progress the authenticity of this cutting-edge program for additional musing and guesstimation since they found to be flat out conscientious on mechanism corroboration method. On The Contrary, in this analysis, creators announce the newest analysis where writers have not yet adept from the time 2004 where reporters have practiced and might not been tested for 5 years. In current paper, the essayists try to original introduction where authors have not yet done since 1981 where producers have tried and will not been sophisticated for 66 years. Since the order is functioning, the past order denominate the UC - 60 go ahead to go in parallel or if the prior set-up christened the IE - 30 come into being to be in working order every inch. Seeing That, as the practice has to run in parallel the method of working AC - 73, critics have got to perfectly etch it as delineated ahead. The weighing up allying vintage and present-time prototype exhibits significant divergences detectable using contemporaneous objectives tried using LL - 68 framework. A current tale should oblige to concoct a more productive counterfeit using HB - 37 or CT - 97 which might comprehend former imitation.
LibGuides: Streaming Video: A Guide to Streaming Video Collections from NOVA Libraries: Streaming Video By Type

A guide to finding and using streaming video for use in courses. Questions? Email LTS@nvcc.edu
LibGuides: Missouri A&OER Symposium: Keynote: Speech and Speaker Biography

All the information attendees need for the March 2021 Missouri Affordable & Open Educational Resources Symposium.
Ανάπτυξη παιχνιδιού με χρήση της μηχανής Unity

Within this thesis a video game was developed using Unity Engine. Themain objective was to create a base of a 2D top-down actionvideogame, which’s graphics would be, mostly, composed of simpleshapes. Another objective was the learning of and gaining familiaritywith Unity itself, including the language it uses, which is C#. To be morespecific, the player will control a character, who will be part of a teamcharacterized by its color, and will be fighting other characters fromother teams, while using a set of moves and attacks. The stages willeither be an open space with borders or a group of rooms, in which theplayer will be required to achieve an objective, while traversing them. Ingeneral, the concept of State Machines was used for a variety ofprocesses, especially attacks and the AI of the characters controlled bythe computer. Also, the ability of the player to have dialogues with othercharacters was developed, which can cause events depending on whatanswer is given. Apart from what was mentioned, LightsOut puzzle wasimplemented as part of the game. Lastly, Unity Editor scripting was alsostudied and implemented a little.
The Effect of Transformational leadership on Job Satisfaction among Academic Staff

Transformational leadership (TL) play an important role to improve job satisfaction(JS) among employees. however, most of the previous studies conducted in organizations and health sectors, limited studies conducted in the education sector. The purpose of this study to exam the effect of transformational leadership on job satisfaction among academic staff and enrich the body of knowledge in education sector and particularly in Iraq setting. The study conducted at Cihan university-Erbil, Iraq. However, the study employed a quantitative method by Structured questionnaires to collect the data, 137 valid questionnaires has been analysed by structural equation modelling to exam the effect among TL and JS. The result showed there is a positive significant effect of TL on JS among academic staff. moreover, the Individuals consideration found a highest impact on Job satisfaction than other TL dimensions. universities should pay more attention to TL and improve the leader's characteristics among university leaders to enhance the JS among academics staff.
IMPLEMENTASI GAME ONLINE TERHADAP MOTIVASI BELAJAR PESERTA DIDIK DI SEKOLAH DASAR

ONLINE GAME IMPLEMENTATION TOWARDS STUDENTS 'LEARNING MOTIVATION IN PRIMARY SCHOOLS This study aims to determine the use of online games in students, and to determine the use of online games in motivating students' learning, as well as to determine the positive and negative impacts of using online games on students. This research uses descriptive qualitative. Data was collected through interviews, observation and documentation. This study uses data analysis techniques, which consist of the stages of data collection, data reduction, data presentation, and drawing conclusions. The results showed that the use of online games in students had disciplinary rules at school, online games were used as a learning resource and means or media, the positive impact of using online games for students could support a fun learning process to facilitate the learning process, while the negative impact of using online games, causing students to become addicted or addicted. So that the decrease in the learning motivation of students. The conclusion of this study is the use of online games is expected to be a source of learning and learning media in the learning process so that students are motivated to learn.
Best Computer For Ableton

Ableton is one of the most used digital studios, for music production as it offers top quality options for producers. Composing, mixing, editing, ...
Remote Support through Technologies: A Research-Training on Teachers’ ‘Sophisticated Knowledge’

The COVID-19 pandemic accelerated the process of transforming teaching practices, such as remotely supporting students through innovative technological means. After a reflection on the impact of COVID-19 emergency on teachers’ skills, on the basis of a series of professional resources made available to teachers in order to support remote participation and learning of students, the work presents methodologies and results of an intervention-research, which involved 108 teachers in service, aimed at develop the teachers’ ability to integrate remote teaching technologies resources, with a view to personalizing interventions and effectiveness of learning content. The survey highlighted that relationship with students has been the teaching practice aspect most influenced by technologies/digital resources in the period of the pandemic. Such results offer support for didactic research to integrate the well-known explanatory model of TPACK (Technological Pedagogical Content Knowledge) with further aspects relating to ‘sophisticated’ knowledge, more linked to adaptation and re-shaping of knowledge to be taught with reference to the students needs.
A Study on Biometrics Keystroke Dynamics and its Applications

One of the marvelous inventions of mankind, the Internet, has revolutionized the computer and communication world like nothing before. Continuous access to resource and information has become an integral part of nearly every aspect of our lives. But sadly, with this increased access comes increased vulnerability to sensitive or public data. Without proper compact modular system that implements viable authentication in every layer, the security of sensitive data cannot be ensured. One of the most common techniques for valid user authentication is biometric keystroke dynamics. Several methodologies like continuous keystroke dynamics, behavioral biometrics in anomaly detection, password hardening based on biometric keystrokes etc. have been proposed and proved to be efficient benefiting for both the real time systems and the users. The objective of this discussion paper is to demonstrate an easier layout that highlights the performance level of the popular methods along with a bird eye view of the intricate mechanism of these methods so that users can select the one that is very much close to their individual requirements.
Zero Trust Architectures

So far, we’ve introduced the history of Zero Trust, provided our perspective on it, and introduced its core set of principles. Zero Trust is a philosophy that can support many different types of architectures (and many, many different types of commercial products). It will become clear that there is no single right architecture and that each organization needs to evaluate its own distinct requirements to thoughtfully develop the right approach its journey to Zero Trust.