Reviewerly/exHarmony huggingface dataset:
Evolving and merging hebbian learning rules: increasing generalization by decreasing the number of rules

Generalization to out-of-distribution (OOD) circumstances after training remains a challenge for artificial agents. To improve the robustness displayed by plastic Hebbian neural networks, we evolve a set of Hebbian learning rules, where multiple connections are assigned to a single rule. Inspired by the biological phenomenon of the bottleneck, we show that by allowing multiple connections in the network to share the same local learning rule, it is possible to drastically reduce the number of trainable parameters, while obtaining a more robust agent. During evolution, by iteratively using simple K-Means clustering to combine rules, our Evolve & Merge approach is able to reduce the number of trainable parameters from 61,440 to 1,920, while at the same time improving robustness, all without increasing the number of generations used. While optimization of the agents is done on a standard quadruped robot morphology, we evaluate the agents' performances on slight morphology modifications in a total of 30 unseen morphologies. Our results add to the discussion on generalization, overfitting and OOD adaptation. To create agents that can adapt to a wider array of unexpected situations, Hebbian learning combined with a regularising genomic bottleneck could be a promising research direction.
Learning from a Disastrous Megathrust Earthquake

Ten years of interdisciplinary studies since the disastrous Tohoku-oki earthquake have improved our knowledge of earthquake-cycle processes and hazard, but prediction of such events remains elusive.
LibGuides: Library Policies : Displays

Writing library policies and procedures is an important task, but is often at the bottom of a busy library board's to-do list. This guide is designed to provide some sample policies, along with resources to make the process a little faster and easier. Thi
LibGuides: Library / Open Access Database Tools and Tips: Google Drive Tools

Most databases have common elements which help streamline your research and save time. This How-To guide shares tools and tips for using the library databases at ACC.
Al Junaid industrial group: exploring business development strategies during COVID-19 pandemic

Learning outcomes Expected learning outcomes are as follows: to understand the nature of heating, ventilation and air conditioning (HVAC) manufacturing industries based on Al Junaid Industrial group when considering entering such businesses. To understand how unexpected short-term shocks such as a global pandemic may require long-term changes in a company’s outlook and planning. Discuss the marketing mix strategy that the Al Junaid Industrial group business products and services elements follow. To understand the competitiveness of Al Junaid group’s business environment and to identify the potential for business growth. To gain skills at developing a marketing strategy using the products, price, place and promotion model. Case overview/synopsis Al Junaid Industrial group is a small to medium-sized HVAC manufacturing company created over 12 years ago, in the United Arab Emirates. It has a production line company in the Sharjah industrial area with a capacity of 5,000 ft. The company not only manufactures air conditioning and its accessories but also provides installation and maintenance services. As for its international connections, it imports raw materials such as aluminum and exports air conditioning grills and accessories, offering installation services to many destinations, including Kazakhstan, Afghanistan, Uzbekistan and the Gulf Cooperation Council. The company has recently suffered a setback due to the COVID-19 pandemic. In March 2020 its net revenue and profits decreased by an average of 40%. As a result, Al Junaid Industrial group currently faces several internal and external challenges affecting its business performance such as high operating expenses, low market demand and stiff competition. Due to these challenges, this case study argues that Mr. Obaid Al Junaid, the Chief Executive Officer, should develop a new marketing strategy aimed at raising revenues to levels closer to those observed before the onset of the epidemic. Complexity academic level This case could be used in undergraduate and graduate classes of the business management field, as well as in development programs for managers in small to medium-sized enterprises (SME). Students (final year students of an undergraduate program for a bachelor’s degree) are expected to have a basic knowledge of Strategic management and business in general. It is preferred that the students have basic knowledge about small-to-medium businesses. Additionally, the managers in SME should be familiar with operational management, business management and marketing strategy and some of the challenges faced by managers in industrial businesses. Supplementary materials Teaching Notes are available for educators only. Subject code CSS 11: Strategy.
Moral and aesthetic education of students by means of foreign languages in digital environment

Conceptual direction of the state educational policy of the Russian Federation is the upbringing of a highly moral and aesthetically educated person. The whole educational process should be organized in such a way that the acquisition of knowledge is accompanied by the cultivation of values contributing to the development of inherent creative and intellectual abilities of a person. In accordance with the Law “On Education in the Russian Federation” and the Federal State Educational Standards of Basic General Education (hereinafter – FSES BGE), an integral part of the sociocultural competence of students, along with their knowledge in various fields of human activity, is the acquisition of spiritual, moral and aesthetic values. The results of mastering the educational program of basic general education, set by the Law and standards, include the development of moral awareness and competence in solving moral problems based on personal choice, the formation of moral feelings and ethical behavior, a conscious and responsible attitude to one’s own actions, the development of aesthetic appreciation of cultural heritage of the peoples of Russia and the world. Meeting these challenges entrusted to the entire system of school education, including teaching foreign languages as its intrinsic part.
Enterprise Architecture Planning at the Health Sciences Faculty of UMSurabaya Using the Zachman Framework

Health Sciences Faculty of Muhammadiyah University of Surabaya (UM Surabaya) is a faculty in UM Surabaya. It has a mission to develop academic, general, and student administration services based on quality management systems and the application of Information Technology. To achieve the mission, it is necessary to design and implement Information Technology in assisting administrative service business processes including a letter management system, the attendance system of staff and lecturer, and a financial submission system for the activity plan of the Implementing Unit, Head of Study Program, and Quality Control Group at the Faculty of Health Sciences UM Surabaya. Therefore, this research aimed to build an Enterprise Architecture Planning (EAP) using Zachman Framework method. This research resulted a structured integrated information system Blueprint design along with application prototypes at the Faculty of Health Sciences UM Surabaya. With the Information System Blueprint design, it made it easier for Developers to develop information systems and documented every system transaction process.
Analyzing Outliers in the Maven Central Repository with Object Oriented Design Metrics

Author(s): Kadge, Saumitra Prabhat | Advisor(s): Lopes, Cristina V | Abstract: Software quality is increasingly becoming a differentiator between software products. Thisresulted in the development of new and improved approaches to software development like object-orientation and the development of software metrics to better manage the process of software development. Analyzing a large collection of software projects that use object-oriented programming in terms of object-oriented design quality metrics that measure the size, complexity, performance and quality of software could give us a good idea of how object-oriented programming is used in practice. Analyzing software projects on the extreme ends of the distributions of these metrics could give us specific examples of coding practices which influence design qualities. This analysis can be used to inform machine learning models that estimate code quality based on design metrics.In this thesis, I generated a repository containing the latest version of 226,793 softwareprojects taken from the Maven Central Repository. I statically analyzed each of these projects and measured 18 class-level design quality metrics for 10,608,920 classes and 8 package-level design quality metrics for 2,107,577 packages. I analyze the outlier projects in terms of object-oriented design quality metrics and evaluate their suitability for inclusion in training sets for machine learning models.
In-house counsel identify cyber, data as biggest threats

As pressure from the pandemic sees more corporate requirements for managing data and cyber risk, resources are struggling to match demand
LibGuides: Electronic Resources: Electronic Resources at NOVA

This is an information guide about the Electronic Resources at NOVA Libraries. For more information, contact LTS@nvcc.edu
Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries

We investigate the problem of exact recovery using oracle queries.Previous results show that clusters in Euclidean spaces that are convex and separated with a margin can be reconstructed exactly using only $O(\log n)$ same-cluster queries, where $n$ is the number of input points.In this work, we study this problem in the more challenging non-convex setting. We introduce a structural characterization of clusters, called $(\beta,\gamma)$-convexity, that can be applied to any finite set of points equipped with a metric (or even a semimetric, as the triangle inequality is not needed).Using $(\beta,\gamma)$-convexity, we can translate natural density properties of clusters (which include, for instance, clusters that are strongly non-convex in $R^d$) into a graph-theoretic notion of convexity.By exploiting this convexity notion, we design a deterministic algorithm that recovers $(\beta,\gamma)$-convex clusters using $O(k^2 \log n + k^2 (\frac{6}{\beta\gamma})^{dens(X)})$ same-cluster queries, where $k$ is the number of clusters and $dens(X)$ is the density dimension of the semimetric.We show that an exponential dependence on the density dimension is necessary, and we also show that, if we are allowed to make $O(k^2 + k \log n)$ additional queries to a cluster separation oracle, then we can recover clusters that have different and arbitrary scales, even when the scale of each is unknown.
TECHNOLOGY AND APPS IN THE FIGHT AGAINST COVID-19 AND THE PROTECTION OF PERSONAL DATA IN SPAIN AND BRAZIL

With the advent of Covid-19, the need for rapid and effective monitoring of virus transmission chains and early detection of outbreaks became apparent. In this context, digital technologies and data have a valuable role to play in combating the health crisis. Technological solutions, and more specifically mobile applications, can be tools at the service of governments and administrations to help control and manage the pandemic. However, transparency, reliability and proportionality in the selection of technological solutions will be essential. Users must have a clear understanding of what will be done with their personal data. The status of the “empowered citizen” should be promoted, giving them power and control over the management of their data, especially in the crisis. Governments will have to be careful and meticulous to ensure that the message citizens receive is the right one. Improving the readability of mobile apps' privacy policies could help reassure users. The “right to understand and easy to understand” will have to be rethought. Technical solutions should be less invasive for their intended purpose (Bluetooth better than GPS). Impact assessments should analyze the access or otherwise of health authorities, data transfers, data storage, approval of technology providers, etc. Opting for a decentralized approach where users store their data on their own devices would be the right approach. Public acceptance of these tools will make them truly ethical and efficient tools. In any case, technology and innovation in public health and regulation should not be at odds, but should be compatible and even allied. © 2021, Iustel. All rights reserved.
Don’t Wait, Automate! Industry Perspectives on KBART Holdings Automation

When trying to manage their e-resources, librarians spend a significant amount of time adjusting their holdings in vendor knowledgebases to make sure that the content their library can access is selected properly. This is often a tedious process, which, extrapolated out to each content provider, can be a drain on library resources. A National Information Standards Organization (NISO) recommended practice provides a solution to this problem by facilitating the automatic transfer and retrieval of library-specific Knowledge Bases and Related Tools (KBART) holdings data between content providers and knowledgebases. In this presentation, Matthew Ragucci of Wiley presents a publisher’s perspective on the work required to implement KBART Automation: Automated Retrieval of Customer Electronic Holdings, Andrée Rathemacher of the University of Rhode Island shares a librarian’s opinion on the benefits and potential pitfalls of KBART Automation, and Stephanie Doellinger of OCLC addresses the topic from a knowledgebase supplier’s point of view.
LibGuides: Countdown To Finals!: Writing & Research Aids

Find in this guide resources, events, and tips to help you hold up and hold on through the end of the semester!
LibGuides: Online Teaching & Design Resources for Fall 2020: EBooks on Online Course Design

This guide is for MCU faculty to support them in designing and redeveloping their fall 2020 courses. This guide will provide literature , resources, and other tools to use.
Method Implementation Multifactor Evaluation Process (MFEP) in Recommending the Best Types of Cattle for Beef Cattle Farming

This study aims to implement a decision support system in recommending the best type of cow. The research data comes from interviews and field observations. Based on these observations and interviews, 5 alternatives were obtained Lemosin (A1), Simental (A2), Bali (A3), Dairy (A4), Brahma (A5), as the selected type of cow and 5 criteria for selecting cattle, namely Origin (A), Price (B), Age (C), Weight (D), and Size (E). This research uses the MFEP (Multi Factor Evaluation Process) method. From the results of research and calculations using the MFEP method, it is found that Lemosin (A1) is the best type of cow with a total weight value of 0.6875.This study aims to implement a decision support system in recommending the best type of cow. The research data comes from interviews and field observations. Based on these observations and interviews, 5 alternatives were obtained Lemosin (A1), Simental (A2), Bali (A3), Dairy (A4), Brahma (A5), as the selected type of cow and 5 criteria for selecting cattle, namely Origin (A), Price (B), Age (C), Weight (D), and Size (E). This research uses the MFEP (Multi Factor Evaluation Process) method. From the results of research and calculations using the MFEP method, it is found that Lemosin (A1) is the best type of cow with a total weight value of 0.6875.
Switching Contexts: Transportability Measures for NLP.

This paper explores the topic of transportability, as a sub-area of generalisability. By proposing the utilisation of metrics based on well-established statistics, we are able to estimate the change in performance of NLP models in new contexts. Defining a new measure for transportability may allow for better estimation of NLP system performance in new domains, and is crucial when assessing the performance of NLP systems in new tasks and domains. Through several instances of increasing complexity, we demonstrate how lightweight domain similarity measures can be used as estimators for the transportability in NLP applications. The proposed transportability measures are evaluated in the context of Named Entity Recognition and Natural Language Inference tasks.
MENYONGSONG ERA REVOLUSI 4.0 DENGAN LITERASI BACA MELALUI LET’S READ DALAM PEMBELAJARAN SD

In the revolutionary era 4.0 learning in schools must undergo change. Learning that utilizes technology in its use will be accepted by students with more interesting reasons. One of them is by using digital applications that can be read as reading literacy activities by students at any time both online and online called the Let 'Read application. In addition to interesting views from the picture, this application is in accordance with the development of the age of students, and uses Android in its use. Literacy using the Let’s Read application includes digital literacy because it uses internet networks and utilizes reading rooms in cyberspace.
Guides: Eating Animals: Student Guide to Library Resources: Ask A Librarian

Online library guide for students in Prof. M. Fadem's courses Know the ways you can reach a librarian for more help
Who do I contact for further information

Who do I contact for further information? PhD, Prospective students, Frequently asked questions, Federation University
Research on the Path of Using the History of Science to Develop the Core Literacy of Students' Biology

The history of biological sciences reveals the journey of scientists exploring life, which contains great educational value.Based on actual teaching cases, this study explores the teaching path of using the history of biological sciences to cultivate students' core literacy from the four dimensions of the core literacy of biology.The specific path includes: experiencing the concept construction process to form life concept literacy; perceiving the process of scientific inquiry and strengthening the consciousness of scientific thinking; focusing on scientific research methods and enhancing the ability of scientific inquiry; comprehending the spirit of the scientist and enhancing the awareness of social responsibility.
Machine Learning Based Sentiment Analysis for Text Messages

People use online platforms such as Facebook, Twitter, etc. for social networking and share their opinions, feelings or beliefs with others. Sharing is done by posts on these platforms. Sentiment analysis or opinion mining of these posts using machine learning techniques is of great significance. The analysis is generally carried out with sentiment, subjectivity analysis or polarity calculations. In this study, we performed a sentiment analysis of text messages using supervised machine learning techniques. They are mainly online product reviews, general tweets in Tweeter and movie reviews. Messages are pre-processed and then used three different machine learning techniques, namely Naive Bayes, Decision Tree and Support Vector Machine (SVM) for sentiment analysis.
SISTEM INFORMASI MANAJEMEN PADA BENGKEL LIVIA SARI MOTOR BERBASIS WEB

In modern times like today, the population of motorized vehicles is increasing. The density of activity on the road requires comfort for the driver, for that the vehicle used should be in good condition. So that the vehicle is always in good condition, it requires regular maintenance and service and repairs are also needed on the damaged motorbike, for that it is very necessary to have the existence of a motorcycle repair shop. In a situation like this. Livia Sari Motor Workshop requires a supportive information system to be able to provide satisfying services for its customers. Currently the existing system at the Livia Sari Motor Workshop often experiences several obstacles, ranging from the sales transaction process, service service transactions, the slow availability of information on stock of goods to the making of reports, so that it is possible during an error occurs in the recording process, inaccurate reporting that was made and the delay in finding the data needed. The design of this system requires some input data including user input data, employee data, supplier data, customer data, sales transaction data, goods data, service transaction data, service data and order data, then will process user data, employee data, supplier data, customer and transaction data and produce output in the form of sales data reports, service data reports, stock in data reports and order data reports. With a computerized and structured system design, it is expected to help the workshop management system become faster and more accurate so that it can improve the efficiency of system performance, save data and save space, and facilitate the search for data when repairing and recapitulating data.
Pengaruh Persepsi Siswa Tentang Metode Mengajar Guru Dan Efikasi Diri Terhadap Prestasi Belajar Administrasi Perpajakan Siswa Kelas Xi Smk Muhammadiyah 2 Klaten Utara

The purpose of this study was to find out: 1) The effect of students 'perceptions of the teaching methods of teachers on tax administration learning achievement, 2) The effect of self-efficacy on tax administration learning achievements, 3) The effect of students' perceptions of teacher teaching methods and self-efficacy on tax administration learning achievement. Quantitative descriptive research with a population of 69 students. A sample of 69 students was obtained by saturation sampling technique. Data collected by questionnaire and documentation. The questionnaire was previously tested and tested for validity and reliability. Prerequisite analysis using tests of normality, linearity, multicollinearity, heteroscedasticity, and autocorrelation while hypothesis testing with multiple linear regression analysis, t-test, F test, coefficient of determination (R2), effective contribution and relative contribution. The analysis results obtained by the regression line equation: Y = 71,368 + 0,296X1 + 0,267X2. Research conclusions: 1) Students 'perceptions of the teaching methods of teachers have a positive effect on tax administration learning achievements with effective contributions 12,9%, 2) Self-efficacy has a positive effect on tax administration learning achievements with an effective contribution of 11.3%, 3) Students' perceptions of teaching methods of teachers and self-efficacy has a positive effect on tax administration learning achievement with a coefficient of determination of 24.2% while the remaining 75.8% is influenced by other variables not examined in this study.
Problem Formulation and Optimization Approach

In this chapter we introduce the mathematical formulation of Minimum Time Search (MTS). First, we state the MTS optimization problem and explain how the uncertain information of the elements involved is probabilistically modelled. Then, we introduce how the information about the target location is updated and how the search trajectories are evaluated. Next, we describe, from a general point of view, how PS algorithms solve the search problem. And finally, we introduce the ant colony optimization techniques that are chosen in this thesis to solve the MTS problem.