Reviewerly/exHarmony huggingface dataset:
Optical Direct Write of Dolan-Bridge Junctions for Transmon Qubits

We characterize highly coherent transmon qubits fabricated with a direct-write photolithography system. Multi-layer evaporation and oxidation allows us to tune the Josephson energy by reducing the effective tunneling area and increasing the barrier thickness. Surface treatments before resist application and again before evaporation reduce the occurrence of strongly-coupled two-level system fluctuators, resulting in high coherence devices. With optimized surface treatments we achieve energy relaxation $T_1$ times in excess of 80 $\mu$s for three dimensional transmon qubits with Josephson junction lithographic areas of 2 $\mu\mathrm{m}^2$.
Web-Based Integrated Scheduling System at Universitas Multimedia Nusantara

The digital transformation strategy is carried out on scheduling at the Multimedia Nusantara University (UMN) campus in order to shorten work time and achieve space utilization rates in each semester considering the growth in the number of UMN students and the number of classes in each academic year. Various courses have their own requirements in preparing schedules that must be met so that learning outcomes can be realized. This transformation is carried out by changing the work that was previously done manually by creating a web-based integrated scheduling system for all parties involved.This transformation uses a Digital Maturity Model framework which has 5 dimensions including Customer, Strategy, Technology, Operations, and Culture. The current state for each dimension ranges from 3.17 to 3.73. Based on the results of the interview, it is hoped that it can reach level 4. The gap between the current state and the future state will be minimized by the system built in this transformation project.
Research guides: Jackman Humanities Institute - Scholars in Residence - 2021: Metadata

A library guide supporting research projects included in the JHI SiR 2020 program. A page describing Dublin Core as a metadata standard, as well as instructions for entering metadata for your objects.
Vi har samma värderingar du och jag

The aim of this study is to further understand the usage of cultural values to affect Generation Z and how the values connected to the generation, defined by earlier researchers, is used to create brand authenticity. Generation Z is known as an honest and value driven generation who has grown up with the internet as a part of their lives. The study is based on Hedvig, a Swedish insurance company who communicates with the target group through digital platforms. A limited amount of research has been done on the brands that attempt to affect Generation Z through the use of cultural values. The study therefore has the purpose to deepen the understanding of how brands attempt to affect Generation Z and create brand authenticity through digital platforms and thereby contribute to the field of strategic communication. Based on postmodern theories and theories of cultural branding we’ve used a multimodal social semiotic analysis on the empirical material in order to extract the semiotic resources that communicate values and meaning. The result of the study shows that although digital brands might use cultural values and ways of communication specific to Generation Z, the understanding of the true meaning of their values and ways of communication has to be understood for brands to utilize them correctly. Furthermore the study shows that brand authenticity might be achieved through the usage of visual communication, but if the content isn’t matched to the particular values, or is seen as too affecting by Generation Z, the brand will be seen as inauthentic. (Less)
Farewell to Reality.

An introduction to the issue is presented, which focuses upon the theme of immersive art and includes articles on topics such as the history of immersive art and profiles on artists who work with AR (augmented reality) and VR (virtual reality) today.
Self Normalizing Flows

Efficient gradient computation of the Jacobian determinant term is a core problem in many machine learning settings, and especially so in the normalizing flow framework. Most proposed flow models therefore either restrict to a function class with easy evaluation of the Jacobian determinant, or an efficient estimator thereof. However, these restrictions limit the performance of such density models, frequently requiring significant depth to reach desired performance levels. In this work, we propose Self Normalizing Flows, a flexible framework for training normalizing flows by replacing expensive terms in the gradient by learned approximate inverses at each layer. This reduces the computational complexity of each layer's exact update from $\mathcal{O}(D^3)$ to $\mathcal{O}(D^2)$, allowing for the training of flow architectures which were otherwise computationally infeasible, while also providing efficient sampling. We show experimentally that such models are remarkably stable and optimize to similar data likelihood values as their exact gradient counterparts, while training more quickly and surpassing the performance of functionally constrained counterparts.
“Everything goes against the German here!” : self-victimising discourse in comments on migration-related posts on the Alternative für Deutschland Facebook page

This chapter investigates user comments on migration-related posts on the Facebook page of the far-right German political party Alternative fur Deutschland. After a conceptualising discussion of hate speech online and a contextualising description of the Alternative fur Deutschland and its Facebook presence, user comments on nine migration-related Facebook posts are investigated in a qualitative discourse analytical framework. The chapter demonstrates by way of a contextualised discourse analysis how a range of recurrent topoi of immigrants as burden, danger, exploitation and injustice and specific recurring features, including expressions of physical revulsion and sarcasm, combine to form a discourse of self-victimisation in the user comments. Thes findings will be discussed in the light of a need for contextualised discourse analyses of hate speech beyond the use of derogatory terms that considers a range of recurrent features in combination.
Classifying large strains from digital imagery: application to analogue models of lithosphere deformation

&amp;lt;p&amp;gt;We are interested in reconstructing the time evolution of 2D plane deformation of analogue models of tectonic processes. Under relevant forcings, these models develop internal deformation, such as faults, and broader zones of deformation. We use Particle Image Velocimetry (PIV) to derive incremental displacements from top-view images that we use in subsequent steps to calculate the shape changes that come with large deformation. Because PIV describes displacement in a spatial reference, and material moves through the area in view, displacements at any given time refer to fixed locations in space, and not to specific material points. By reconstructing the path of material, we can follow small regions of material while they translate, rotate and change shape.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;br&amp;gt;To aid the qualitative interpretation of this deformation, we have developed a novel method that can qualitatively describe shape changes coming from extensional, shortening and horizontal shearing (strike-slip) deformation or combinations of these. This method is based on a logarithmic measure of stretch and results agree well with the visual interpretation of structures that we observe in our models. Thus, we provide tools with which the evolution of 2D tectonic deformation can be interpreted in a physically meaningful manner, but our method may be useful outside the realm of tectonics. Our software to compute deformation is freely available and can be used to post-process incremental displacements from PIV or similar autocorrelation methods.&amp;lt;/p&amp;gt;
PERCEPTIONS OF ENGLISH LANGUAGE LEARNERS’ REGARDING ENGLISH LANGUAGE PROFICIENCY VIA YOUTUBE AT UNIVERSITY LEVEL -

The purpose of this study was to highlight views of university level learners regarding the use of youtube for English language learning proficiency development. That is why a descriptive study was conducted among the university level mature learners. Self-developed questionnaire was used for data collection and then the collected data was set, coded and then used SPSS version 24 for its analysis. Different statistics like percentage, mean, standard Deviation, t-test, and one way ANOVA was used for data analysis. Results of the study clearly indicated the positive role of YouTube use in English language learning proficiency development at university level.
LibGuides: Patron Handbook: Behavior Policies

Policies and general information about using the library. Policies for guest behavior while visiting the Darling Library.
The Influence of Online Education Service Quality of Students Majoring in Aviation Services on Learning Immersion and Re-enrollment

Cabin attendants are important talents in the aviation industry, and many universities have established and trained aviation services majors in order to cultivate talents with professionalism and service minds. Therefore, in this study, an empirical study was conducted on the effect of online education service quality of students majoring in aviation service on learning immersion and re-taking. The result of this study was to present basic data that can be improved to improve the quality of online education services for students majoring in aviation service. The results of the study are as follows. First, it was found that the detailed factors of online education service quality had a positive (+) effect on the detailed factors of learning immersion. Second, the quality of online education service had a significant positive (+) effect on the degree of re-taking, and the higher the response and trust factor, the higher the re-take factor. Third, learning immersion had a significant positive (+) effect on intention reacquisition. Based on the above results, you will need to manage students using differentiated strategies online so that students majoring in aviation services can participate in classes with a positive mindset.
Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift

Neural models, with their ability to provide novel representations, have shown promising results in prediction tasks in healthcare. However, patient demographics, medical technology, and quality of care change over time. This often leads to drop in the performance of neural models for prospective patients, especially in terms of their calibration. The deep kernel learning (DKL) framework may be robust to such changes as it combines neural models with Gaussian processes, which are aware of prediction uncertainty. Our hypothesis is that out-of-distribution test points will result in probabilities closer to the global mean and hence prevent overconfident predictions. This in turn, we hypothesise, will result in better calibration on prospective data.This paper investigates DKL’s behaviour when facing a temporal shift, which was naturally introduced when an information system that feeds a cohort database was changed. We compare DKL’s performance to that of a neural baseline based on recurrent neural networks. We show that DKL indeed produced superior calibrated predictions. We also confirm that the DKL’s predictions were indeed less sharp. In addition, DKL’s discrimination ability was even improved: its AUC was 0.746 \( (\pm \)0.014 std), compared to 0.739 (±0.028 std) for the baseline. The paper demonstrated the importance of including uncertainty in neural computing, especially for their prospective use.
Wolfgram Subject Guides: Scholarly Communication: What is Scholarly Communication?

Scholarly communication is the system through which research and other scholarly writings are created, evaluated for quality, disseminated to the scholarly community, and preserved for future use (ACRL, 1996-2021).
Guides: Music: Composers

Study smarter. Research effectively. Your guide to library tools and research skills. Find information on western art music composers.
Research and Practice of integrating Excellent Traditional Chinese Culture into the "Second Classroom" in colleges and Universities under the New Situation

In the process of cultivating students, colleges and universities need to instill ideological and moral content at the same time of theoretical knowledge education, pay attention to the integration of excellent traditional Chinese culture into teaching, guide students to concentrate their energy and spirit, and continue to learn, understand and apply traditional culture. The accumulation of profound traditional culture into the second classroom of colleges and universities is the support of the policy, but also the promotion of the society, is the college students need. In the process of teaching traditional culture in the second classroom, colleges and universities should pay attention to target, system, guidance and innovation, guide students to identify with traditional culture through systematic management and highly integrated resources, and build a long-term mechanism. In the specific implementation process, students can learn to organize the corresponding plan, using regional culture, traditional festivals and other resonance, so as to integrate the excellent traditional Chinese culture into the hearts of students.
Development of Multisource Cloud Logs Forensic with encase Tool for performing Lock Technique using Deep Analysis and Reporting

Encase and FTK tool will be utilised too much in Cyber security. In view of this Cloud forensic is an research which would be binded together by cloud computing and cyber security. Cyber forensic is connected to cloud computing and different services of CC such as Infrastructure-As-A-Service (IaaS), Platform-As-A-Service (PaaS),Software-As-A-Service(SaaS) ,Data-StorageAs-A-Service (DSaaS) will be applied in different domains.. cloud forensic techniques will be used if any attacks on software, platforms, infrastructure, and storage must be investigate, report and recovered data . Many cloud forensic techniques has been innovated and proposed in literature and tools have been using in IT industries to provide secure cloud services. With this evaluation of techniques and tools, attackers evolve their anti-forensic techniques as well to break the security measures. Hence the continuous monitoring and research care is indeed required in cyber security and forensic fields.. Hence log recovery and forensic have been given highest priority on cloud resources and functioning towards improving the cloud security and cloud forensic systems.
Pengaruh Transparansi Pengelolaan Keuangan Sekolah terhadap Keunggulan Sekolah

Education is an effort to develop the abilities possessed by children. education can be developed in schools. School is a place to increase knowledge and develop the talents and abilities of children. sources of funds in schools can be generated from several institutes, companies, boss funds, and even funds from the community. School finances can be managed properly so that they can create an advantage over the school. School financial management can be managed by creating school cooperatives, school canteens, and also by creating self-service that meets the needs of students at school so that children are not difficult to find school needs child needed.Keywords: Transparency, Finance, School Excellence
DI Library: About the DI Library: Services

Hours, contact information, policies, and services of the DI Library Information about DI Library services for students, faculty, staff, alumni, and community members
BUGIS LANGUAGE SHIFT AMONG TEENAGERS

Buginese is the fifth most spoken language in Indonesia, after Javanese, Sundanese, Madurese, and Betawi. It is used not only on the mainland of South Sulawesi but also in many parts of the country and even abroad. However, this paper only discusses the Bugis language, which is used in mainland South Sulawesi. As a means of social interaction, as a means of community communication, and as a medium for storing culture and a medium for explaining the culture and various other aspects of life, the Buginese language is a language that needs to be preserved, maintained, and preserved. This study is important because even though the Bugis language is the largest and most spoken language in South Sulawesi, the language shows a language shift due to several factors. Many of the Bugis millennials, namely the first and second-semester students at Universitas Hasanuddin who come from various South Sulawesi regions, do not know several Bugis words and expressions. The language attitude of parents who do not emphasize the use of Bugis as their child's daily language impacts the vitality of the Buginese language in South Sulawesi. The words in the Bugis language include the words: tabe', pattola palallo, pangadereng , etc. The form of the expressions includes resopa temmanginggi malomo naletei pammase dewata; siri' na pacce, taro ada taro gau , and others. It is very important for all these words and expressions to know their form and live their philosophical meaning. Keywords: Bugis language words, language shift, Bugis millennial
A Systematic Literature Review of the Use of Cultural-Historical Activity Theory for Class Improvement

교육현장은 수업 개선을 위한 노력을 지속해 왔다. 수업 개선 방안으로 수업컨설팅, 교사 학습공동체, 수업포트폴리오 등 다양한 방법들이 개발, 활용되고 있다. 국내외 교육 연구자들이 수업 개선을 위한 방안 중 하나로 문화역사적 활동이론의 활용을 제안하고 있다. 문화역사적 활동이론은 인간의 활동을 이해하고 분석하는 이론적 틀을 제시하는 이론으로 특히, 수업 활동을 이해하고 분석하는데 효과적이다. 국내 교육현장에서도 많은 교육연구자들이 문화역사적 활동이론을 활용하여 수업을 개선해왔다. 본 연구 목적은 수업 개선을 위해 문화역사적 활동이론을 활용한 기존 연구를 수집, 분석하여 수업 개선을 위한 문화역사적 활동이론의 활용방안을 탐색하는데 있다. 이를 위해 본 연구는 체계적 문헌고찰을 연구방법으로 선택하였다. 분석대상이 될 문헌은 PRISMA 가이드라인을 활용하여 선정하였다. 그 결과 총 33개의 문헌이 수집되었다. 연구진은 수집된 문헌에 대한 질적분석을 통해 수업 개선을 위한 문화역사적 활동이론의 활용방안으로 ① 교수학습전략 적용 과정에 대한 이해를 통한 개선점 도출, ② 수업 실행 과정에 발생하는 모순 파악을 통한 수업 개선점 도출, ③ 학생의 학습활동 참여과정 분석을 통한 학습활동 재설계, ④ 수업도구에 대한 이해와 활용방안 마련, ⑤ 체계적 수업분석 도구로써 활용 가능성 제안, ⑥ 사회문화적 맥락 안에서 교사역량 함양 방안 마련을 도출하였다. 연구결과는 수업을 개선하고자 하는 교사 또는 학교에게 수업 개선 목적에 따른 문화역사적 활동이론의 활용방안을 제시할 수 있다.The field of education has continued to make efforts to improve classes. As a way to improve classes, various methods such as class consulting, teacher learning communities, and class portfolios are being developed and used. Educational researchers are proposing the use of cultural-historical activity theory (CHAT) as another way to improve classes. CHAT is a theory that provides a theoretical framework for understanding and analyzing human activities, and is especially effective in understanding and analyzing class activities. Many educational researchers in Korea have used CHAT for class improvement. The purpose of this study is to collect and analyze existing research using CHAT to improve classes and explore ways to use CHAT for class improvement. This study adapted systematic literature review as a research methodology. The literature to be analyzed was selected using PRISMA guidelines. As a result, a total of 33 studies were collected. The researchers identified six ways of improving classes by using CHAT: 1) identifying improvement points by understanding the process of implementing teaching-learning strategies, 2) improving classes by resolving the contradictions that arise in the teaching process, 3) redesigning learning activities through analysis of students learning experiences, 4) developing a strategy to use the class tools by understanding how to use class tools in the course context, 5) suggesting class analysis methods that can be used to understand and improve classes, 6) exploring ways to cultivate teacher competencies in a socio-cultural context. The results of the research suggest to teachers and schools that CHAT should be used to help them improve classes.
Software Defect Prediction Based on Multivariate Statistical Method and Machine Learning Techniques

An essential objective of software system development is to find and fix defects before schedule delivery that would be expected below numerous circumstances. During software development, software engineers’ activities can result in software faults, causing disappointment in the future. Thus, the prediction of software defects within the initial stages has become an important interest in the field of software engineering. Many software defect prediction methods proposed in the last two decades. Mahalanobis-Taguchi System (MTS) is a multivariate statistical technique commonly used for feature selection and binary classification problems. In this article, the MTS is used for feature selection and defect prediction. This article compares several machine learning techniques on NASA data sets. The results show that MTS perform best with 100% accuracy, precision, recall, F-measure and 0% MAE, RMSE errors.
Constructing Tunable Sentence Simplification Models using Deep Learning

Sentence simplification aims to reduce the complexity of a sentence while retaining its original meaning so that certain individuals can read and understand it. Substitution, Dropping, Reordering, and Splitting are widely accepted as four important operations. Recent approaches view the simplification process as a monolingual text-to-text translation, where the translation model learns the operations automatically from examples of complex-simplified sentence pairs extracted from online resources. In the current literature, the two publicly available resources commonly used are Wikipedia and Newsela. However, both resources are limited in several ways, and only contribute to certain operations.
THE DEVELOPMENT OF RESERCH IN PRESCHOOL CHILDREN ON A NATURAL BASIS

In the article analyzes the concepts of "natural science", "research" and "scientific research" based on scientific sources based on definitions given by domestic and foreign authors. It provides information on the development of preschool children in their natural learning activities. In recent years, we have faced many situations that require scientific knowledge, so preschool organizations need to introduce science with simple concepts. Considering natural learning as a means of developing logical thinking for children. The importance of the subject of science in the development of the child’s intelligence is emphasized by the offer of teaching natural sciences and ecology in preschool institutions. Moreover, they not only master the laws of nature, but also adapt them to their ministry, based on the conclusion that scientific concepts based on natural science constantly help the child to develop his thinking. Based on the results of psychological and pedagogical studies of teachers and practitioners of natural science, it is proved that the use of these studies in preschool institutions can provide a basis for the further development of children's thinking in accordance with modern requirements.