Reviewerly/exHarmony huggingface dataset:
Risk Identification and Assessment of Emerging Platform

Energy Internet has lived up to the future development needs of the energy industry, and set higher requirements for the reliable and safe operation of various energy systems.Therefore, it is crucial to carry out a comprehensive assessment of the risks it brings about from a theoretical perspective.In this paper, the risk assessment matrix method is used to assess the risks of emerging platform-based Energy Internet businesses The results of the research show that the management and security risks of platform-based Energy Internet business are prominent during the incubation period; security risks and market risks increase in the growth period; and platform-based businesses face fair regulatory risks in the mature stage.Accordingly, we propose appropriate risk prevention and control strategies.
Learn2Weight: Weights Transfer Defense against Similar-domain Adversarial Attacks

Recent work in black-box adversarial attacks for NLP systems has attracted attention. Prior black-box attacks assume that attackers can observe output labels from target models based on selected inputs. In this work, inspired by adversarial transferability, we propose a new type of black-box NLP adversarial attack that an attacker can choose a similar domain and transfer the adversarial examples to the target domain and cause poor performance in target model. Based on domain adaptation theory, we then propose a defensive strategy, called Learn2Weight, which trains to predict the weight adjustments for target model in order to defense the attack of similar-domain adversarial examples. Using Amazon multi-domain sentiment classification dataset, we empirically show that Learn2Weight model is effective against the attack compared to standard black-box defense methods such as adversarial training and defense distillation. This work contributes to the growing literature on machine learning safety.
The Use of Pyramid Discussion Method to Improve the Students’ Writing Descriptive Text of The Eight Graders in MTSN 1 East Lampung

Writing has been one of the four skills that are very important to learn. Writing as a process to get the product is influenced by some elements such as vocabulary, grammar, organization, spelling, and punctuation. In writing English subject is the students have the ability to develop and produce written simple function text in recount text, narrative text, and descriptive text, and report text. Descriptive text is one of the texts that should be mastered by the students of MTsN 1 East Lampung. However, there are many students who ignore to master this skill. This situation results in the students' writing score are still low. Based on the situation, to improve The students' descriptive text, the researcher used Pyramid Discussion in the learning process. Pyramid discussion is one of the methods that is easy and effective to be applied in teaching and learning process in the class. This aim of this research to know whether the use of Pyramid Discussion Method can improve The Students' in writing descriptive in English learning.The result of this research shows that Pyramid Discussion Method had a positive role in improving the descriptive writing ability among The eight graders of MTsN 1 East Lampung. It can be proved by the students' average score from pretest to post-test.
Library guides / Biblioteekgidse: Makerspace: Computer-Aided Design

Provide a collaborative technologically focused environment for SU students and staff to invent, create and learn while sharing.
Drift and Desire: Defamiliarizing Academic Subjectivities

In this commentary, we invite ourselves to create speculative fictions of the good life in academia. We take note of the ways that academic platforms and counting practices orient us, and perhaps other academics, toward a good life that is achieved through maximum production of citations, mentions, and connections. Through a close reading of N.K. Jemisin's Non-zero Probabilities, we consider the refrains and rituals that structure our interactions with academic platforms as junior tenure-track professors and our desire for recognition. Then, we put forward two innovatory practices, drift and desiring ambivalence, that prompt us to turn to other poles of valorization in a process of defamiliarization, turning affirmatively toward another good life.
TEACHING CULTURE IN ENGLISH CLASS

This research is focusing to analyze how teaching and learning culture taughtin English Foreign Class. Based on the phenomena that the researcher has encounteredbefore, in this study the researcher wants to know how each English teachers conveycultural values and not only teaches the students to be proficient in English. Then theresearcher can also find out what kind of way is done by the English teacher for studentsto become proficient in English and get to know foreign cultures.The participants of this research included 4 teachers as the source ofinformation for the researcher. The data that the researcher found by using interviewwith some questions for asking to the teachers, and did observation by joining in onlineclass to know how the activities of teaching and learning culture.In this research, the researcher found some cases that make cultural was veryimportant to teach in English class. All of the students was easy to imitate new thingswhich they found anywhere such as positive and negative things out there. Sometimesthey used that without know it was a bad. The importance of teaching culture for thestudents to increase their insight. But, the researcher did not find any special strategiesor materials that the teachers have to use and teach for the students in teaching culture.Almost all of the teachers just include the cultural materials in some English lesson.Two of the teachers that the researcher asked said that teaching English more difficultand every the students also hard to learn it. Because of that they were more focusing toteach English than culture.
Fuzzy Logic Based Detection of SLA Violation in Cloud Computing - A Predictive Approach.

Scheduling of a large number of submitted tasks is a central operation in cloud computing. Efficient scheduling and resource allocation for the submitted tasks ensures that Service-Level-Agreements (SLA) violations are minimized. We present a fuzzy logic-based approach for predicting submitted tasks which are likely to encounter SLA violations. It may help Cloud Service Providers (CSPs) to design corrective interventions in terms of additional resource allocation to prevent SLA violations. The proposed mechanism assists in reducing SLA violations and improves the end-user quality-of-service experience along with enhancement of CSP revenues. The appropriate selection of performance metrics has enabled the proposed model to achieve the highest classification accuracy of 92.6% in predicting SLA violation.
Complex neural networks have no spurious local minima

Most non-linear neural networks are known to have poor local minima (Yun et al. (2019)) and it is shown that training a neural network is NP-hard (Blum & Rivest (1988)). A line of work has studied the global optimality of neural networks in various settings but unfortunately all previous networks without spurious local minima are linear networks or networks with unrealistic assumptions. In this work we demonstrate for the first time that a non-linear neural network can have no poor local minima under no assumptions. Recently, a number of papers considered complex-valued neural networks (CVNNs) in various settings and suggest that CVNNs have competitive or even preferable behaviour compared to real-valued networks. Unfortunately, there is currently no theoretical analysis on the optimization of complex-valued networks, given that complex functions usually have a disparate optimization landscape. This is the first work towards analysing the optimization landscape of CVNNs. We prove a surprising result that no spurious local minima exist for one hidden layer complex-valued neural networks with quadratic activation. Since CVNNs can have real-valued datasets and there are no assumptions, our results are applicable to practical networks. Along the way, we develop a novel set of tools and techniques for analyzing the optimization of CVNNs, which may be useful in other contexts. Lastly, we prove spurious local minima exist for CVNNs with non-analytic CReLU activation.
Network analysis of misconceptions in FCI data

In this paper we discuss the misconceptions detectable in Force Concept Inventory responses by analysing student selection of distractor items. We discuss the appearance of distinct, coherent, clusters of distractor items which appear in this data. Certain distractor items are structurally central in these groupings and sub-groups within these clusters may be interlinked by “connector” items. Our analysis suggests that these clusters represents a coherent, robust, non-Newtonian worldview. We further suggest that this worldview could be destabilised by correcting a small number of conceptual mistakes.
A Robust and Intelligent Machine Learning Algorithm for Software Testing

In software engineering, the single point is to deliver top notch yield while enhancing the expense and the time expected to finish the application development. To accomplish this objective, software groups will play out the test on their application before live creation. For test automation documentation assumes a critical job. This paper center around mechanize experiment age dependent on accessible test assets, challenges which could be conveyed by methods for orderly practice improvement and characterizing test system for any software application. One noteworthy motivation is to ensure perceptibility among necessities and system experiments. Along these lines, the significance of experiments is dull and testing, especially under time objectives and when there are progressive changes to necessities. Right now, customized test age diminishes the cost of testing just as guarantees that experiments properly spread all necessities, a huge objective in prosperity essential systems and for the measures they need to come. This proposed application guarantees proficient test inclusion of software surrenders, where key usefulness won't be missed in the automatic test absconds expectation. Right now, experiments can be produced after application development completes a component or a lot of highlights.
Natural Disaster Reporting: A Content Analysis of Locust Infestation Coverage in Pakistani Newspaper

This study was undertaken to find issues and problems in quality assurance practices in public and private sector higher education institutes of Punjab Pakistan. There was a total of 156 faculty members (male &amp; female) in the selected four departments of 10 selected universities (5 from public and five from private) which constitute an accessible population of this study. All the teachers and head of departments of those selected departments were the respondents of this study. The self-constructed instrument was validated by expert opinion and pilot testing. The responses of the faculty members were measured with the help of frequency and their percentages, mean and standard deviations. Each table is formed on the basis of the variables of the study. It was concluded that the biggest hurdle in quality assurance identified by this research is the unavailability of data for quality assurance. It was recommended by the researcher that the financing system by the HEC should be revised to even the playing field even more. This could be done by expanding the needs-based scholarship program for students attending private HEIs.
LibGuides: Curbside Services at Skyline College: Step 2: Schedule an Appointment

This guide is for students who need technology, books and other items from Skyline Library. It explains how to request, schedule, pick up and return materials.
DEVELOPMENT OF A WEBGIS FOR UNIVERSITY CAMPUS USING AN APPROACH BASED ON USER-CENTRED DESIGN TECHNIQUES

Abstract: The techniques that seek to attend the user’s needs in a product’s development, like the Requirements Engineering (RE) and the User-Centred Design (UCD) have been increasingly used in different areas. The RE is a computer science area that seeks the development of methods and techniques to software elaboration, while the UCD is an iterative design process, where designers focus on users and place them at the center of the development process. This study approached the application of these techniques to developing a WebGIS oriented to university applications. In this research an interface to the WebGIS was proposed, with an application to assist the navigation in indoor and outdoor environments. The study case was applied in Polytechnic Center campus of Federal University of Paraná (UFPR). The interface was evaluated through tests with users, using tasks that allowed to explore its functionality. The methodology used was elaborated by Brooke (1996) to measure the usability through the System Usability Scale (SUS), and the classification of this scale adopted by Bangor, Kortum and Miller (2009) and Sauro (2011). The results show punctuation indices based on the SUS, what indicated that the use of UCD techniques allow to improve the interface development in a WebGIS.
LibGuides: SW730: Macro Theory and Practice (Anderson): Library Guides

This guide is created to assist students with their Advocacy Assignment and their Organization/Community Analysis Project
Recommender using Hybrid Approach for Candidate Generation

Recommender systems (RS) is a very major part to contributing electronic commerce stores by recommending useful suggestions to the users based on the use of databases. Users are continuously come across with situations in which they have many options to choose and need help exploring or sorting down the possibilities. A recommendation system helps user's find compelling content in a large corpus. Candidate generation is the first stage of recommendation. The system generates a set of appropriate candidates. There are two approach for candidate generation-content-based filtering and collaborative filtering. This paper proposes a system which makes use of both the approaches for better results.
Archer Library: Streaming Media Access: Contact your Subject Librarian

This Guide provides the various paths towards accessing streaming video and streaming audio/music for U of Regina Library users.
Reducing Implicit Bias in Latent Domain Learning

A fundamental shortcoming of deep neural networks is their specialization to a single task and domain. While recent techniques in multi-domain learning enable the learning of more domain-agnostic features, their success relies firmly on the presence of domain labels, typically requiring manual annotation and careful curation of datasets. Here we focus on latent domain learning, a highly realistic, yet less explored scenario: learning from data from different domains, without access to domain annotations. This is a particularly challenging problem, since standard models exhibit an implicit bias toward learning only the large domains in data, while disregarding smaller ones. To address this issue, we propose dynamic residual adapters that adaptively account for latent domains, and weighted domain transfer – a novel augmentation strategy designed specifically for this setting. Our techniques are evaluated on image classification tasks containing multiple unannotated domains, and we demonstrate they enhance performance, in particular, on the smallest of these.
Online Testing In Teaching Math: Challenges And Opportunities For Distance Learning

The article discusses the technology of online testing, which is increasingly used in teaching practicein teaching mathematics. The advantages and disadvantages of this method of teaching and controlof students' knowledge are revealed. The analysis and research of vulnerabilities of modern onlinetesting systems is presented.
Security Culture in Sweden with Focus on Digital Certiﬁcate Culture in Organizations

Digital certiﬁcates lie at the heart of security where effective security culture enables digital certiﬁcates to be widely and properly deployed in organizations. Digital certiﬁcates provide a way ...
Guides: Music: Find music scores

Study smarter. Research effectively. Your guide to library tools and research skills. Tips on how to find print music in the library.
The Effect Of The Interaction Between The Presentation Of Video Clips In The Interactive E-Book And The Cognitive Styles On The Achievement And The Survival Of The Impact Of Learning Among Secondary Students

key words : E-book interactive, Digital Videos, Cognitive method, Cognitive achievement,Survival of learning impact. The present study aimed to measure the effect of the interaction between the presentation of the videos in the interactive e-book and the cognitive method of achievement and the survival of the learning effect of the secondary students. The study was used for semi-experimental method. The sample consisted of (60) (1438/1439), which consisted of (15) students in each of the four groups. An electronic book was also designed to display the video clips (internal and external) in an interactive framework with the cognitive method , And an achievement test to measure achievement and impact Learning, and to test validity of hypotheses, Bi-directional contrast analysis was used for the four groups. The study found the following results:1.There is a statistically significant difference of 0.05 between the average scores of the experimental groups for research in cognitive achievement and the study of the effect of learning due to the primary effect of the variable of the video display pattern in interactive educational E-books (internal / external), for the external video display style.2.There is a statistically significant difference of 0.05 between the average scores of the experimental groups for research in cognitive achievement and the study of the effect of learning due to the main effect of the cognitive style variable (independent / certified), for the independent method.3.There is a statistically significant difference at (0.05) between the average scores of the four groups to investigate cognitive achievement and the study of the effect of learning due to the effect of the interaction between the variable of the video presentation style in the interactive educational e-books (internal / external) and variable style cognitive style (independent / certified), for the benefit of (external display + independent style). Based on the results of the study, the study presented a number of recommendations: Expanding the use of interactive e-book in teaching and learning processes, Provide different types of interactive e-book and integrate their results within learning environments, Make use of multiple video sites through e-books in the educational process, which contributes to achieve the desired educational goals.
Production Resumption Analysis for Different Industries by K-means Clustering

At the beginning of 2020, the COVID-19 suddenly struck, which had a great impact on industrial production, causing most companies to shut down. To further study the work and production resumption progress for industrial users, this paper analyzes the electricity consumption data from a total of 200 users in four industries including heavy industries, general industry and commerce, agricultural production industries, and agricultural irrigation and drainage industries in a city in Eastern China before and after the Spring Festival and pandemic. K-means clustering with Silhouette Coefficient is adopted as the primary tool to analyze the resumption thresholds for different industries. Combined with these thresholds, the industry resumption rate curve is further drawn, and the resumption rate of each industry one month before and after the Spring Festival is analyzed to provide support for in-depth analysis of the impact of the pandemic on different industries.
A High-robustness and Low Resource-consumption Crowd Counting Model

A major problem of counting high-density crowded scenes is the lack of flexibility and robustness exhibited by existing methods, and almost all recent state-of-the-art methods only show good performance in estimation errors and density map quality for select datasets. The biggest challenge faced by these methods is the analysis of similar features between the crowd and background, as well as overlaps between individuals. Hence, we propose a light and easy-to-train network for congestion cognition based on dilated convolution, which can exponentially enlarge the receptive field, preserve original resolution, and generate a high-quality density map. With the dilated convolutional layers, the counting accuracy can be enhanced as the feature map keeps its original resolution. By removing fully-connected layers, the network architecture becomes more concise, thereby reducing resource consumption significantly. The flexibility and robustness improvements of the proposed network compared to previous methods were validated using the variance of data size and different overlap levels of existing open source datasets. Experimental results showed that the proposed network is suitable for transfer learning on different datasets and enhances crowd counting in highly congested scenes. Therefore, the network is expected to have broader applications, for example in Internet of Things and portable devices.
Development of Division Technical Assistance (T.A.) Plan Focused on Schools with Developing SBM Level of Practice

The study aimed to determine the status of the schools with Developing SBM Level of Practice in terms of the thematic areas and principles and elicit perceptions from the School Heads and SBM Coordinators on factors affecting their SBM Level of Practice. This study utilized qualitative research through the analysis of submitted SBM documents focused on the SBM themes and principles and written interview as well as focus group discussion to the School Heads and SBM coordinators of 17 Schools in the Division of Antipolo City identified with Developing SBM Level of Practice regarding the facilitating and hindering factors. This study focused only on the 17 schools identified with Developing SBM Level of Practice from SY 2013-2015. Also, the study was limited only on reports gathered from SY 2013-2015 since there were no NAT results yet available from SY 2016 up to present.            Based on the findings of this study, the following conclusions were drawn: (1) Majority of the developing schools were categorized as “Below Marginal” in terms Access while majority were categorized as “Marginal” in terms of Efficiency and Quality, (2) All of the 17 developing schools were categorized as “Good” in terms the 4 SBM principles, (3) Most hindering factor that affected the SBM level of practice is “Organizing and Filing of Artifacts” and (4) Most facilitating factor that helped to improve is “Support and Communication to the Stakeholders”.            Therefore, based on the conclusions of this study, the following are hereby recommended: (1) The school should include programs and projects in E-SIP that answers school performance indicator, (2) The school should allow stakeholders to initiate programs and projects related to different SBM Principles, (3) The school should increase the teachers’ awareness on the importance of SBM and needed artifacts for the improvement of their SBM level of practice, (4) The school should sustain the best practices that facilitate improvement in their SBM level of practice and (5) A parallel study can be done by other schools division to determine the factors that affects the SBM level of practice in their respective divisions.