Reviewerly/exHarmony huggingface dataset:
ARMED BANDITRY IN NORTH WEST BORDERLANDS AND THE NEED FOR DEEPER NIGERIA-NIGER REPUBLIC BILATERAL SECURITY RELATIONS

Armed banditry has increasingly become a major threat to security in the borderlands between Nigeria and Niger Republic in the last decade, with far reaching political, economic, and social consequences. All efforts to end this security menace have remained fruitless as the banditry continues to thrive with impunity in the borderlands. In line with the Regional Security Complex theory, which argues that the security of one country in a region interacts with the security of other actors in the same region, this paper explains that banditry in Nigeria’s Northwest borderland is not a threat to Nigeria’s security alone but to Niger Republic considering their close geographical proximity and the region’s already volatile security situation. The Northwest borderlands have been strategic routes for trade and migration between the two countries since hundreds of years back but have been significantly destabilized by banditry activities, recently. This paper aims to examine the major factors causing and fuelling banditry in the Northwest borderlands; its effects on security in the regions; and what Nigeria and Niger Republic are doing to address the banditry within the framework of their Bilateral security relations. Secondary data was utilized and analysed by content analysis method. It was found that the two countries adopted mainly military strategy but could not end the banditry. It recommended for the two countries to strengthen their bilateral security cooperation, while at domestic level, they should combine political, economic, and military strategies to address the root causes of the banditry, among others.
The effect of information seeking style and news literacy of card news users on recommendation intention: Focused on Technology Acceptance Model (TAM)

In this study, the Technology Acceptance Model (TAM) was applied to explore the process of using card news. Card news users are found to be active in searching and selecting appropriate news for themselves, information seeking style and news literacy were established as antecedent variables that can influence card news usage. A survey of 400 university students with experience of using card news was conducted. For statistical analysis, SEM was conducted. The analysis showed that information seeking style significantly affects perceived ease of use (PEU) and that news literacy influences neither PEU nor PU. PEU was found to have a significant effect on PU, and both PEU and PU had a significant effect on recommendation intention.
Sequencing web link using randomized algorithm

Internet has become the essential source of information for everyone holding the smart device in their hands. For the retrieval of any kind of information each and every one rely on the web through internet. In today’s scheme it is sole duty of the data provider to provide the most important and relevant information for users every query posed. Since there is high increment in the amount of data to its highest unit as peta bytes has made it difficult for the user to access the most relevant information for them. In this paper, a Randomized Simulated annealing-based approach for selecting top-ranked web links has been proposed. This approach is using content, usage and structured data to select top quality web links. Further proposed algorithm WDPSA, has been experimentally compared with Iterative improvement-based approach and it has been found that SA based approach is better in selecting top-T web links.
Exception Handling in Multiagent Organizations: Playing with JaCaMo

Agent organizations offer powerful abstractions to build distributed systems. Current models, however, lack of a systematic way to address exceptions as part of their design. Thus, exception handling is usually approached by ad-hoc solutions, that hamper code modularization and decoupling. We present an extension of the organizational model and infrastructure adopted in JaCaMo, that explicitly encompasses the notion of exception as a first-class element in the design of an organization. Relying on such a model, we propose an exception handling mechanism that is seamlessly integrated with organizational concepts, such as responsibilities, goals and norms.
PENGELOLAAN BIG DATA PERPUSTAKAAN DENGAN TEKNIK DATA MINING

This article discusses the use of data mining in library big data processing using the association method. Data in the library becomes big data when it meets three criteria (volume, velocity, and variety). The association method is one of the methods of implementing data mining which aims to determine the relationship between data. In library big data, such as book lending data, the association method is used to determine the relationship between borrowers and borrowed collections. By knowing more quickly the library manager can determine the appropriate action based on the information generated. This is expected to help progress and good management of a library.
Can You Walk This? Eulerian Tours and IDEA Instructions (Media Exposition).

We illustrate and animate the classic problem of deciding whether a given graph has an Eulerian path. Starting with a collection of instances of increasing difficulty, we present a set of pictorial instructions, and show how they can be used to solve all instances. These IDEA instructions (A series of nonverbal algorithm assembly instructions) have proven to be both entertaining for experts and enlightening for novices. We (w)rap up with a song and dance to Euler’s original instance.
The Impact of Financial Performance on Earnings Management Practice Behavior(An Empirical Study on Financial Companies in Jordan)

The current study examines the impact of financial performance on earnings management practice behavior at the Jordanian public shareholding financial companies listed in the Amman stock exchange. The study model addresses the relationship between several independent variables represented in the companies' financial performance and some other variables and the dependent variable described in the practice of earnings management behavior at the Jordanian public shareholding financial companies listed in Amman stock exchange. The research findings proved the practice of earnings management behavior by several sectors at a different level. They found a statistically significant correlation between the financial performance variables and the response of earnings management practice at the public shareholding financial companies. The study also confirmed that Jordanian public shareholding financial companies had practiced earnings management during the study period, with a percentage of companies that practice earnings management is less than the rate of not practicing it.
THE USE OF WATTPAD IN ENGLISH LANGUAGE TEACHING AND LEARNING: IS IT HELPFUL?

The use of digital applications is very helpful in teaching and learning process, especially for language classes. The existence of technology is very helpful for teachers to increase student interest in learning about English language lesson. The development of the digital world is used by teachers to be used as a tool to facilitate student learning. This research focuses on the role of using a digital application called Wattpad which will make students diligently read English reading texts, so that they become more skilled in learning. In this research, the researchers defined the term digital application to explain the use of digital application in an effort to improve English as a foreign language learning skill. The related review of literature shows that the use of multi-media technology can improve students’ language learning skills because matches their interests. Therefore, their English skills can be better.
Coping with envy on professional social networking sites:24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020

With the growing popularity of professional social networking sites (PSNS), many users rely on PSNS, such as LinkedIn, to develop and maintain professional relationships with other individuals and companies. Most users create dedicated personal profiles and share their achievements and professional experiences on PSNS. With the frequent exposure to social information on PSNS, we expect that users who use LinkedIn may experience envy. Surprisingly, there is very little understanding of how PSNS use induces the feeling of envy and how users cope with it. Building on prior envy literature, we propose a research model to explain this phenomenon. We will test our model with data from 500 LinkedIn users. We expect that the findings of this study will contribute to our theoretical understanding of PSNS envy coping mechanisms and offer users some guidance to deal with PSNS envy. © Proceedings of the 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020. All rights reserved.
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures.

Deep reinforcement learning approaches have shown impressive results in a variety of different domains, however, more complex heterogeneous architectures such as world models require the different neural components to be trained separately instead of end-to-end. While a simple genetic algorithm recently showed end-to-end training is possible, it failed to solve a more complex 3D task. This paper presents a method called Deep Innovation Protection (DIP) that addresses the credit assignment problem in training complex heterogenous neural network models end-to-end for such environments. The main idea behind the approach is to employ multiobjective optimization to temporally reduce the selection pressure on specific components in multi-component network, allowing other components to adapt. We investigate the emergent representations of these evolved networks, which learn to predict properties important for the survival of the agent, without the need for a specific forward-prediction loss.
Faktor penyebab rendahnya pemanfaatan jurnal elektronik di Perpustakaan Universitas Gadjah Mada oleh mahasiswa Sekolah Pascasarjana

Introduction. This study aims to examine the inhibiting factors of the use of electronic journals atthe Universitas Gadjah Mada (UGM) Library by UGM graduate school students. The study used Weber's information system model theory with the following variables: system quality, information quality, user training, perceived usefulness, perceived ease of use, computer self-efficacy, information system use, individual impact and information system satisfaction.&#x0D; Data Collection Methods. This study used surveys with a quantitative approach. and observations.&#x0D; Results and Discussion. The results of this study showed that the inhibiting factors of electronic journals at the UGM Library was the difficulties in using information systems electronic journals. This resulted that the students were less confident and rarely to access and utilize electronic journals due to their lack of understanding and skilss in using computers or e-Journal information system. &#x0D; Conclusion. The low utilization of the electronic journal is related to the quality of information system (system quality), user perceived difficulties when accessing the electronic journal Information system (perceived easy of use) and the user's ability to use the computer (computer self-efficacy).&#x0D;
Ikalbar App: Build a Society Reading Culture of West Kalimantan During the Covid-19 Pandemic

Background of the study: West Kalimantan was in 31st position with a score of 28.36 for the Provincial Reading Literacy Activity (Alibaca) index. It’s means that peaople’s reading interest is low.&#x0D; Purpose: To improve the reading culture in West Kalimantan, there were digital library application called iKalbar.&#x0D; Method: The data were was primary data sources taken from 1,224 respondents as the population and 93 respondents as the sample. It used a quota sampling technique. The data collection technique used descriptive analysis with SPSS 25.&#x0D; Findings: The result on the accessibility dimension showed that te majority of respondents scored iKalbar as the comfortable and easy application for searching the books that they needed when their mobility was limited during the lockdown period. Meanwhile, on the reusability dimension, the majority of respondents scored it as the efficient and effective application, especially during the pandemic to look for the resources needed. It can be seen from the three dimensions of assessment of the reading culture of the people of West Kalimantan that the majority of respondents considered iKalbar application providing user friendly, especially in the features which was compatible for all the devices. Furthermore, the additional duration and number of books to be borrowed provided by the application resulted the improvement in accessing and reading electronic books in iKalbar application.&#x0D; Conclusions: As people’s access to iKalbar increases, people will get used to the habit of accessing and reading electronic books. The habit that was started due to the momentum of the pandemic has encourage the growth of a reading culture among the community, although it has not shown a significant reading culture among the people of West Kalimantan.
MOHE-NET: MONOCULAR OBJECT HEIGHT ESTIMATION NETWORK USING DEEP LEARNING AND SCENE GEOMETRY

Abstract. Estimating the heights of objects in the field of view has applications in many tasks such as robotics, autonomous platforms and video surveillance. Object height is a concrete and indispensable characteristic people or machine could learn and capture. Many actions such as vehicle avoiding obstacles will be taken based on it. Traditionally, object height can be estimated using laser ranging, radar or stereo camera. Depending on the application, cost of these techniques may inhibit their use, especially in autonomous platforms. Use of available sensors with lower cost would make the adoption of such techniques at higher rates. Our approach to height estimation requires only a single 2D image. To solve this problem we introduce the Monocular Object Height Estimation Network (MOHE-Net) that includes a cascade of two networks. The first network performs the object detection task. This network detects the bounding box of objects of interest. This information is then input to a second network to estimate the object height and is a linear Multi-layer Perceptron (MLP). The linear MLP model models the camera-scene geometry and does not require training or contain activation function as normal MLP did. The developed approach works for static camera set up as well as moving platform. The proposed approach performs state-of-the-art and can be deployed for obstacle avoidance on autonomous platforms. Our code is available at https://github.com/OSUPCVLab/Ford2019/tree/master/Moving%20Object%20Height% 20Estimation%20Network
Interactional fairness as a mediator between merit-based pay management and organizational commitment / Mohd Ridwan Abd Razak and Enah Ali

The purpose of this quantitative study was to evaluate the ability of interactional fairness as a mediator in the relationship between merit-based pay management (such as communication and performance assessment) and organizational commitment. A cross-sectional technique was used to collect 450 useable data of workers from a government-linked company (GLC), who had served more than five years in Selangor and Kuala Lumpur. The outcomes of the Partial Least Square Structural Equation Modelling (PLS-SEM) path model analysis indicated three important findings. First, communication and performance assessment was significantly correlated with interactional fairness. Second, interactional fairness was significantly correlated with organizational commitment. Third, communication, performance assessment and interactional fairness were significantly correlated with organizational commitment. Statistically, the findings of this study verified that the relationship between communication and performance assessment with organizational commitment is indirectly influenced by interactional fairness. These findings would benefit researchers and organizational management to recognize the importance of merit-based pay management (communication and performance assessment) to nurture employees’ positive feelings, behaviors, and attitudes in an organization. An effective pay management system would likely improve employees’ morale and enhance organizational competitiveness in facing the challenges of the COVID-19 pandemic.
SOME ASPECTS OF DEVELOPING COGNITIVE UNIVERSAL EDUCATIONAL ACTIONS OF STUDENTS IN INFORMATICS LESSONS BASED ON THE USE OF THE ELECTRONIC TEXTBOOKS

The article actualizes the need to use an electronic textbook as one of the means of developing cognitive universal educational actions of students. Various psychological and pedagogical sources are analyzed, which reflect the concepts of "cognitive universal educational actions" and "electronic textbook". It is substantiated that the main task of the educational system in modern society is the formation of a set of universal educational actions that can provide the emerging personality with the opportunity to self-develop and self-improve through the acquisition of knowledge, skills and abilities based on specific subject knowledge within the framework of specific studied disciplines (informatics, information technology, etc.). A comparative analysis of the textbook by L. L. Bosova, A. Yu. Bosova "Informatics. Grade 7" (BINOM) and an electronic supplement to this textbook is given. The experience of the development by the student (under the guidance of the author of the article) of an electronic textbook on informatics, aimed at the development of cognitive universal educational actions of students, is presented.
LibGuides: Library Policies : Collection Management

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: Intellectual Property: Creative Commons

A guide to understanding the different types of Intellectual Property (Copyright, Patents, Trademarks, Trade Secrets)
Whiteness and Race Matter in Holistic Education

Debbie Millon has worked for two decades as a Head of School in two different independent holistic/progressive K-8 schools. Her background and training is steeped in the theories, writing, and mentorship of those scholars who are considered to be among the pantheon of holistic education.  Recently her leadership has entered a new chapter and extended well beyond her own school. She has shifted her focus towards leading colleagues and other educators to critically reflect upon issues related to race, equity, privilege and the imperative to de-center whiteness in the fields of progressive and holistic education. Here, Debbie shares some of her thoughts and experiences in doing this important work and concludes that “a holistic education approach that ignores whiteness and racism will be perceived as uninformed, if not irrelevant and racist...we need to be responsive to the ‘needs of evolving human beings’ and an evolving, aching society.”
How to fall slower than gravity by Paul J. Nahin, pp. 279, £22.00 (hard), ISBN 978-0-691-17691-8, Princeton University Press (2018)

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LibGuides: Ask Us: Services

The Library provides access to audiovisual equipment and services to support the academic programs of the University of Lethbridge
LibGuides: Audio Visual Support: AV for Students

See what the Innovation Commons has available to borrow to support digital learning and teaching.
Effects and Consequences of Covid-19 to Higher Education in Mexico

After more than six months of the COVID-19 pandemic some of its effects to higher education have been already documented. The higher education institutions around the world rushed to teach online, most of them without any preparation and in some cases in public universities their authorities imposing the technology to be used, the school calendar and new labor relations. At the Universidad Autónoma Metropolitana more than a third of the students considers that learning online has been minimum or null and 76.1% of their professors use their own equipment to teach online and 74.6% work more hours than the established in their contracts. At the Instituto Politécnico Nacional, 20% of its students did not take classes online and 10% of their professors did not teach online. In this paper some of the negative effects of COVID-19 to higher education are referred and discussed, among them, the effects on the salary inequality. Some recommendations are offered to the institutions in their return to “normal” activities.
Building a Swedish Open-Domain Conversational Language Model.

We present on-going work of evaluating the, to our knowledge, first large generative language model trained to converse in Swedish, using data from the online discussion forum Flashback. We conduct a human evaluation pilot study that indicates the model is often able to respond to conversations in both a human-like and informative manner, on a diverse set of topics. While data from online forums can be useful to build conversational systems, we reflect on the negative consequences that incautious application might have, and the need for taking active measures to safeguard against them.
Exploiting Factor and State Space Symmetry for Inference in Graphical Models

Author(s): Gallo, Nicholas | Advisor(s): Ihler, Alexander T | Abstract: Probabilistic graphical models provide a powerful framework for representing and reasoning about complex systems composed of many small overlapping subsystems. Key problems in graphical models can be formulated as probabilistic inference queries, such as computing the most likely configuration or the marginal probability of a random variable. Since these problems are intractable in general, a large class of approximate inference algorithms that exploit the factorization structure of graphical models have been developed.In addition to the classic factorization structure, many graphical models also possess symmetric structure where groups of objects in the model are indistinguishable. Two types of symmetry arise regularly in practice: first, a model with state space symmetry contains factors with groups of states that have identical values; second, a model with factor symmetry contains groups of factors that have identical factor tables.Although efficient inference algorithms for models with perfect symmetry have been well developed, most real problems do not contain perfect symmetry. Often, for example, a model with a symmetric substructure is perturbed by asymmetric evidence factors. Consequently, there is a great need for methods that accurately approximate the desired inference quantities using symmetric inference terms. While a few methods to address this problem exist, many are heuristic or address only certain aspects of the problem.The goal of this thesis is to develop more intelligent ways to perform inference in graphical models with approximate symmetry. Our central strategy is to force groups of parameters in a variational inference relaxation to be symmetric. These symmetry groups are iteratively broken in a controlled manner to capture problem asymmetries more accurately; this procedure gives rise to a flexible class of coarse-to-fine inference algorithms. Furthermore, by using intelligently structured parameter symmetries, we are able to construct symmetric high-order inference terms which are often necessary to obtain high accuracy inference estimates. We develop algorithms both for models with state space symmetry and for models with factor symmetry, highlighting the deep similarities between these two classes of problems which has not been widely appreciated before.